List of Authors

Aakur, Sathyanarayanan N.

• MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis

Abaci Turk, Esra

• STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning
• Equivariant Filters for Efficient Tracking in 3D Imaging

Abidin, Anas A.

• The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization for Medical Image Segmentation

Abolmaesumi, Purang

• Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels

Ackermann, Joëlle

• A new Approach to Orthopedic Surgery Planning using Deep Reinforcement Learning and Simulation

Adalsteinsson, Elfar

• STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning
• Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging

Adeli, Ehsan

• Self-Supervised Longitudinal Neighbourhood Embedding
• Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development

Adnan, Mohammed

• Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images

Aellen, Jonathan

• Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction

Aertsen, Michael

• Labels-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation

Afacan, Onur

• MRI Super-Resolution Through Generative Degradation Learning

Agarwal, Saloni

• Survival Prediction Based on Histopathology Imaging and Clinical Data: A Novel, Whole Slide CNN Approach

Agrawal, Utkarsh

• Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19

Agu, Nkechinyere N.

• AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray

Ahmad, Sahar

• Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates
• Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters
• Active Cortex Tractography

Ahmed, Nafis

• From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics

Ahmed, Zergham

• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Ahn, Euijoon

• A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation

Ahn, Shawn S.

• Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography

Aigner, Christina

• Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data

Akata, Zeynep

• Uncertainty-Guided Progressive GANs for Medical Image Translation

Akbarifar, Faranak

• Graph Transformers for Characterization and Interpretation of Surgical Margins

Al Chanti, Dawood

• OLVA: Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation

Albarqouni, Shadi

• FedPerl: Semi-Supervised Peer Learning for Skin Lesion Classification

Aleef, Tajwar Abrar

• Rapid treatment planning for low-dose-rate prostate brachytherapy with TP-GAN
• Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data

Alexander, Daniel C.

• Learning to Address Intra-segment Misclassification in Retinal Imaging
• Generalised Super Resolution for Quantitative MRI Using Self-Supervised Mixture of Experts

Ali, Shahnewaz

• 3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training

Ali, Sharib

• EndoUDA: A modality independent segmentation approach for endoscopy imaging

Ali, Syed

• Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction

Alimi, Abib

• A spherical convolutional neural network for white matter structure imaging via diffusion MRI

Alle, Shanmukh

• Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait

Alpers, Julian

• 2.5D Thermometry Maps for MRI-guided Tumor Ablation

Ambrosetti, Damien

• Renal Cell Carcinoma Classification from Vascular Morphology

Aminu, Muhammad

• Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms

Amunts, Katrin

• 2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks

Andou, Masamichi

• A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging

Andrearczyk, Vincent

• Sharpening Local Interpretable Model-agnostic Explanations for Histopathology: Improved Understandability and Reliability

Aneja, Ritu

• Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains

Anklin, Valentin

• Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs

Antunes, Jacob

• SPARTA: An Integrated Stability, Discriminability, and Sparsity based Radiomic Feature Selection Approach

Arbeláez, Pablo

• Towards Robust General Medical Image Segmentation

Arefan, Dooman

• Radiomics-informed Deep Curriculum Learning for Breast Cancer Diagnosis

Arganda-Carreras, Ignacio

• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale
• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Armitage, Keith

• LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis

Arnold, Corey W.

• Hierarchical graph pathomic network for progression free survival prediction

Arora, Chetan

• Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images

Arvinte, Marius

• Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization

Asma, Evren

• Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning

Atar, Eli

• Learned super resolution ultrasound for improved breast lesion characterization

Attar, Rahman

• Image-derived phenotype extraction for genetic discovery via unsupervised deep learning in CMR images

Au, Jason

• Automating Embryo Development Stage Detection in Time-Lapse Imaging with Synergic Loss and Temporal Learning

Austin, Thomas

• Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds

Avinash, Gopal

• Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19

Ayhan, Murat Seçkin

• Interpretable gender classification from retinal fundus images using BagNets

Azampour, Mohammad Farid

• Rethinking Ultrasound Augmentation: A Physics-Inspired Approach

Azarianpour Esfahani, Sepideh

• SPARTA: An Integrated Stability, Discriminability, and Sparsity based Radiomic Feature Selection Approach

Bae, Hyeon-Min

• Learning-based attenuation quantification in abdominal ultrasound
• A Neural Framework for Multi-Variable Lesion Quantification Through B-mode Style Transfer

Bae, J. Alexander

• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Bae, Joseph

• Chest Radiograph Disentanglement for COVID-19 Outcome Prediction
• Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction

Bagavathi, Arunkumar

• MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis

Bahrami, Mojtaba

• GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference

Bai, Wenjia

• Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation
• Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

Bainbridge, Daniel

• DeepMitral: Fully Automatic 3D Echocardiography Segmentation for Patient Specific Mitral Valve Modelling

Baker, Salah A.

• RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network

Balachandran, Sharanya

• TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection

Baldus, Christian

• Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer?

Balu, Niranjan

• Deep Open Snake Tracker for Vessel Tracing

Bano, Sophia

• AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes

Bao, Jingxuan

• A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits

Bao, Qiqi

• MBFF-Net: Multi-Branch Feature Fusion Network for Carotid Plaque Segmentation in Ultrasound

Bao, Shunxing

• Pancreas CT Segmentation by Predictive Phenotyping

Bar-Shira, Or

• Learned super resolution ultrasound for improved breast lesion characterization

Barata, Catarina

• Improving the Explainability of Skin Cancer Diagnosis Using CBIR

Barfoot, Theodore

• Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification

Barkan, Ella

• Beyond Non-Maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes

Barnett, Michael

• LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting

Bartoli, Adrien

• Using Multiple Images and Contours for Deformable 3D-2D Registration of a Preoperative CT in Laparoscopic Liver Surgery
• Image-based Incision Detection for Topological Intraoperative 3D Model Update in Augmented Reality Assisted Laparoscopic Surgery

Barwick, Tara

• Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification

Baselizadeh, Soroosh

• Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models

Batal, Ibrahim

• MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors

Batmanghelich, Kayhan

• Using Causal Analysis for Conceptual Deep Learning Explanation
• Self-Supervised Vessel Enhancement Using Flow-Based Consistencies

Battistella, Enzo

• Weakly supervised pan-cancer segmentation tool

Baumann, Michael

• Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer?

Baumgartner, Michael

• nnDetection: A Self-configuring Method for Medical Object Detection

Bayasi, Nourhan

• Culprit-Prune-Net: Efficient Continual Sequential Multi-Domain Learning with Application to Skin Lesion Classification

Bayat, Sharareh

• Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels

Bayrak, Roza G.

• From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics

Bdair, Tariq

• FedPerl: Semi-Supervised Peer Learning for Skin Lesion Classification

Becker, Benjamin

• Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks

Becker, Jan

• MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors

Belov, Aleksandr

• Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution

Belyaev, Mikhail

• Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation

Ben-Yosef, Dalit

• Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field

Bendszus, Martin

• Continuous-Time Deep Glioma Growth Models

Beqiri, Arian

• Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation

Bera, Kaustav

• LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis

Berens, Philipp

• Interpretable gender classification from retinal fundus images using BagNets

Bergeles, Christos

• Effective semantic segmentation in Cataract surgery: What matters most?

Berkovsky, Shlomo

• Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images

Berkowitz, Seth

• Multimodal Representation Learning via Maximization of Local Mutual Information

Bertels, Jeroen

• On the relationship between calibrated predictors and unbiased volume estimation

Bhalodia, Riddhish

• Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports

Bhattacharya, Indrani

• Weakly Supervised Registration of Prostate MRI and Histopathology Images

Bhattarai, Shristi

• Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains

Bi, Qi

• MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification
• Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification

Bi, Shanshan

• EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis

Bi, Xiuli

• Medical Image Registration Based on Uncoupled Learning and Accumulative Enhancement

Bian, Cheng

• MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification
• Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification

Bian, Gui-Bin

• Vessel Width Estimation via Convolutional Regression

Bise, Ryoma

• Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency
• Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels
• Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap
• Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification

Biswal, Bharat

• Estimation of spontaneous neuronal activity using homomorphic filtering

Black, Peter

• Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels
• Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data

Blaschko, Matthew B.

• On the relationship between calibrated predictors and unbiased volume estimation

Bogunovic, Hrvoje

• Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT

Bonazzola, Rodrigo

• Image-derived phenotype extraction for genetic discovery via unsupervised deep learning in CMR images

Bonnington, Paul

• End-to-end Ugly Duckling Sign Detection for Melanoma Identification with Transformers

Borotikar, Bhushan

• Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets

Borsdorf, Anja

• Deep Iterative 2D/3D Registration

Botros, Karim

• Using Multiple Images and Contours for Deformable 3D-2D Registration of a Preoperative CT in Laparoscopic Liver Surgery

Boulanger-Weill, Jonathan

• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Bourdel, Nicolas

• Image-based Incision Detection for Topological Intraoperative 3D Model Update in Augmented Reality Assisted Laparoscopic Surgery

Boutillon, Arnaud

• Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets

Boxberg, Melanie

• Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations

Bozorgtabar, Behzad

• Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs

Braden, Barbara

• EndoUDA: A modality independent segmentation approach for endoscopy imaging

Braman, Nathaniel

• Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data

Brambilla, Paolo

• Contrastive Learning with Continuous Proxy Meta-Data For 3D MRI Classification

Braren, Rickmer

• Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs

Brasch, Nikolas

• Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation

Bredell, Gustav

• Quality-Aware Memory Network for Interactive Volumetric Image Segmentation
• High-resolution segmentation of lumbar vertebrae from conventional thick slice MRI

Bron, Esther

• Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis

Bronstein, Michael

• Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling

Brooks, James D.

• Weakly Supervised Registration of Prostate MRI and Histopathology Images

Browning, James

• Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images

Brox, Thomas

• Fighting Class Imbalance with Contrastive Learning

Bryan, Robert

• Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds

Buc, Emmanuel

• Using Multiple Images and Contours for Deformable 3D-2D Registration of a Preoperative CT in Laparoscopic Liver Surgery

Buchberger, Jonas

• Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models

Bucher, Andreas

• Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation

Budd, Samuel

• Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps

Bukas, Christina

• Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning

Bulterys, Philip

• GloFlow: Whole Slide Image Stitching from Video using Optical Flow and Global Image Alignment

Bunting, Karina

• Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration

Burdin, Valerie

• Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets

Burger, Jürgen

• Semantic Consistent Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation

Burian, Egon

• Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs

Bus, Norbert

• High-particle simulation of Monte-Carlo dose distribution with 3D ConvLSTMs

Busam, Benjamin

• OperA: Attention-Regularized Transformers for Surgical Phase Recognition

Bydlon, Torre

• Determination of error in 3D CT to 2D fluoroscopy image registration for endobronchial guidance

Cabezas, Mariano

• LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting

Cai, Bin

• Joint Spinal Centerline Extraction and Curvature Estimation with Row-wise Classification and Curve Graph Network

Cai, Haibin

• A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-domain Classification

Cai, Hongmin

• Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold

Cai, Jianfei

• Semi-supervised Left Atrium Segmentation with Mutual Consistency Training

Cai, Jiatong

• Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-specific Pruning

Cai, Jinzheng

• Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
• Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection

Cai, Shuntian

• Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video

Cai, Weidong

• LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting
• Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation
• BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation

Cai, Wenli

• Deep-Cleansing: Deep-learning based Electronic Cleansing in Dual-energy CT Colonography

Cai, Yuezhi

• Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features

Calvet, Lilian

• Using Multiple Images and Contours for Deformable 3D-2D Registration of a Preoperative CT in Laparoscopic Liver Surgery
• Image-based Incision Detection for Topological Intraoperative 3D Model Update in Augmented Reality Assisted Laparoscopic Surgery

Camara, Oscar

• Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies

Campello, Victor

• Style Curriculum Learning for Robust Medical Image Segmentation

Cao, Kai

• Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers

Cao, Wanyue

• Perceptual Quality Assessment of Chest Radiograph

Cao, Ying

• M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19

Cao, Zhenjie

• Supervised Contrastive Pre-Training for Mammographic Triage Screening Models
• BI-RADS Classification of Calcification on Mammograms

Caprara, Sebastiano

• High-resolution segmentation of lumbar vertebrae from conventional thick slice MRI

Carass, Aaron

• A Structural Causal Model MR Images of Multiple Sclerosis

Carnahan, Patrick

• DeepMitral: Fully Automatic 3D Echocardiography Segmentation for Patient Specific Mitral Valve Modelling

Carneiro, Gustavo

• Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging
• Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
• Balanced-MixUp for highly imbalanced medical image classification
• 3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training

Carson, Richard E.

• Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network

Carter, Gloria

• Prototypical models for classifying high-risk atypical breast lesions

Cattani, Laura

• Interactive segmentation via deep learning and B-spline explicit active surfaces

Celik, Numan

• EndoUDA: A modality independent segmentation approach for endoscopy imaging

Cha, Miriam

• Multimodal Representation Learning via Maximization of Local Mutual Information

Chai, Hua

• Integration of Patch Features through Self-Supervised Learning and Transformer for Survival Analysis on Whole Slide Images

Chai, Yaqiong

• Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization

Chaitanya, Krishna

• Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations

Chakravorti, Srijata

• Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks

Chan, Chung

• Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning

Chan, Ling Ling

• Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation

Chandra, Shakes

• End-to-end Ugly Duckling Sign Detection for Melanoma Identification with Transformers

Chang, Catie

• From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics

Chang, Dong-Jin

• Sequential Lung Nodule Synthesis using Attribute-guided Generative Adversarial Networks

Chang, Hyung Jin

• Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration

Chang, Jia-Ren

• Stain Mix-up: Unsupervised Domain Generalization for Histopathology Images
• Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images

Chang, Jian

• Surgical Instruction Generation with Transformers

Chang, Jianbo

• Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata
• 3D Brain Midline Delineation for Hematoma Patients

Chang, Peng

• Supervised Contrastive Pre-Training for Mammographic Triage Screening Models
• BI-RADS Classification of Calcification on Mammograms

Chang, Ruiheng

• Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations

Chang, Silvia

• Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels

Chang, Wei-Tang

• Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values

Chao, Hanqing

• Task-Oriented Low-Dose CT Image Denoising
• Cross-modal Attention for MRI and Ultrasound Volume Registration
• AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray

Chatterjee, Sudhanya

• Acceleration by deep-learnt sharing of superfluous information in multi-contrast MRI

Chaudhari, Pratik

• Harmonization with Flow-based Causal Inference

Che, Hui

• Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment

Che, Jifei

• Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms

Chellappa, Rama

• DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images

Chen, Alvin

• Determination of error in 3D CT to 2D fluoroscopy image registration for endobronchial guidance

Chen, Antong

• Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning

Chen, Bo

• mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network

Chen, Chang

• Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation
• Learning Neuron Stitching for Connectomics

Chen, Changan

• Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network
• Confidence-aware Cascaded Network for Fetal Brain Segmentation on MR Images

Chen, Chao

• A Topological-Attention ConvLSTM Network and Its Application to EM Images

Chen, Chaoyu

• Flip Learning: Erase to Segment

Chen, Chen

• TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
• Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation
• Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

Chen, Cheng

• Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling

Chen, Chengkuan

• Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks

Chen, Chi-Chung

• Stain Mix-up: Unsupervised Domain Generalization for Histopathology Images
• Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images

Chen, Danny Z.

• kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation
• Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation

Chen, Elvis C. S.

• Quantitative Assessments for Ultrasound Probe Calibration
• DeepMitral: Fully Automatic 3D Echocardiography Segmentation for Patient Specific Mitral Valve Modelling

Chen, Eric Z.

• Multi-scale Neural ODEs for 3D Medical Image Registration

Chen, Fang

• Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound

Chen, Geng

• Progressively Normalized Self-Attention Network for Video Polyp Segmentation

Chen, Hanbo

• Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
• From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks

Chen, Hao

• OXnet: Deep Omni-supervised Thoracic Disease Detection from Chest X-rays
• Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images

Chen, Hu

• Dual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction

Chen, Huai

• Neighbor Matching for Semi-supervised Learning

Chen, Hung-Chih

• Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

Chen, Hung-Wei

• Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

Chen, Jianan

• AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases

Chen, Jiancong

• EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography

Chen, Jiawei

• InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction

Chen, Jie

• Learnable Oriented-Derivative Network for Polyp Segmentation

Chen, Jie-Neng

• Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining

Chen, Jieneng

• Fully Test-time Adaptation for Image Segmentation
• Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

Chen, Junxiao

• TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation

Chen, Junyu

• Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning

Chen, Kanghao

• Alleviating Data Imbalance Issue with Perturbed Input during Inference

Chen, Kuan

• M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19

Chen, Kun

• Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation

Chen, Li

• Task Transformer Network for Joint MRI Reconstruction and Super-Resolution
• Deep Open Snake Tracker for Vessel Tracing

Chen, Li-Fen

• Demystifying T1-MRI to FDG18-PET Image Translation via Representational Similarity

Chen, Liangjun

• Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction
• Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network
• Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep Learning

Chen, Long

• Conditional Training with Bounding Map for Universal Lesion Detection

Chen, Ming-Kai

• Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network

Chen, Nancy F.

• Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query

Chen, Nianyong

• Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

Chen, Pingjun

• Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms

Chen, Qingqing

• Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance
• Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting

Chen, Qitian

• Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms
• Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning

Chen, Richard J.

• Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks

Chen, Ronghua

• Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning

Chen, Terrence

• Multi-scale Neural ODEs for 3D Medical Image Registration

Chen, Tiffany Y.

• Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks

Chen, Wanli

• Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation

Chen, Wen

• Hybrid Supervision Learning for Whole Slide Image Classification

Chen, Xiang

• Automatic Severity Rating for Improved Psoriasis Treatment
• A Deep Discontinuity-Preserving Image Registration Network

Chen, Xiao

• Multi-scale Neural ODEs for 3D Medical Image Registration

Chen, Xiaoyi

• Few Trust Data Guided Annotation Refinement for Upper Gastrointestinal Anatomy Recognition

Chen, Xinghan

• Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata

Chen, Xinjian

• High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction

Chen, Xu

• Learning Unsupervised Parameter-specific Affine Transformation for Medical Images Registration
• A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning

Chen, Xuejin

• Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation
• Learning Neuron Stitching for Connectomics
• LDPolypVideo Benchmark: A Large-scale Colonoscopy Video Dataset of Diverse Polyps
• Depth Estimation for Colonoscopy Images with Self-supervised Learning from Videos

Chen, Yanbei

• Uncertainty-Guided Progressive GANs for Medical Image Translation

Chen, Yen-Wei

• Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance
• Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
• 3D Graph-S2Net: Shape-Aware Self-Ensembling Network for Semi-Supervised Segmentation with Bilateral Graph Convolution

Chen, Yi

• Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

Chen, Yihao

• 3D Brain Midline Delineation for Hematoma Patients

Chen, Yinan

• Fully Test-time Adaptation for Image Segmentation
• Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

Chen, Yinran

• A Data-driven Approach for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging

Chen, Yixiong

• USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning

Chen, Yong

• Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting
• Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values
• Multimodal MRI Acceleration via Deep Cascading Networks with Peer-layer-wise Dense Connections

Chen, Yong-Sheng

• Demystifying T1-MRI to FDG18-PET Image Translation via Representational Similarity

Chen, Yuanhong

• Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images

Chen, Yuanyuan

• Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages

Chen, Yuqian

• Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation

Chen, Yuzhong

• Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks

Chen, Zhaolin

• Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation

Chen, Zhen

• Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning

Chen, Zhijie

• Multimodal MRI Acceleration via Deep Cascading Networks with Peer-layer-wise Dense Connections

Chen, Zhongyue

• High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction

Chen, Zijie

• A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images

Cheng, Chia Cheng

• Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains

Cheng, Erkang

• Joint Spinal Centerline Extraction and Curvature Estimation with Row-wise Classification and Curve Graph Network

Cheng, Jie-Zhi

• Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms
• Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning

Cheng, Kai

• LDPolypVideo Benchmark: A Large-scale Colonoscopy Video Dataset of Diverse Polyps
• Depth Estimation for Colonoscopy Images with Self-supervised Learning from Videos

Cheng, Keith C.

• A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis

Cheng, Kwang-Ting

• Towards Robust Dual-view Transformation via Densifying Sparse Supervision for Mammography Lesion Matching

Cheng, Mengjun

• Learnable Oriented-Derivative Network for Polyp Segmentation

Cheng, Pujin

• Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
• I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive constraining
• BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images

Cheng, Shuqun

• Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
• From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks

Cheng, Xiaoqing

• Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non–Contrast CT Images

Chennubhotla, S. Chakra

• Prototypical models for classifying high-risk atypical breast lesions

Cheon, Sojeong

• Sequential Lung Nodule Synthesis using Attribute-guided Generative Adversarial Networks

Chernyavskiy, Alexey

• Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation

Cheung, Helen M. C.

• AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases

Cheung, Jason Pui Yin

• SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset

Chi, Ying

• Conditional Training with Bounding Map for Universal Lesion Detection

Chirra, Prathyush

• SPARTA: An Integrated Stability, Discriminability, and Sparsity based Radiomic Feature Selection Approach

Chiu, Wei-Chen

• Demystifying T1-MRI to FDG18-PET Image Translation via Representational Similarity

Cho, Eun-Seo

• RLP-Net: Recursive Light Propagation Network for 3-D Virtual Refocusing
• Efficient neural network approximation of robust PCA for automated analysis of calcium imaging data

Cho, Hyeonwoo

• Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency
• Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap

Cho, Hyuna

• Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study
• Covariate Correcting Networks for Identifying Associations between Socioeconomic Factors and Brain Outcomes in Children

Choi, Kup-Sze

• Selective Learning from External Data for CT Image Segmentation

Choi, Min-Kook

• hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries

Chong, Chee

• Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging

Chong, Jaron

• mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network

Chou, Yu-Cheng

• Progressively Normalized Self-Attention Network for Video Polyp Segmentation

Choudhary, Om

• Prototypical models for classifying high-risk atypical breast lesions

Chow, Aubrey

• Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images

Christiaens, Daan

• Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling

Chung, Albert C. S.

• Conditional Deformable Image Registration with Convolutional Neural Network

Chung, Moo

• Topological Learning and Its Application to Multimodal Brain Network Integration

Chung, Sang Hun

• Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values

Chênes, Christophe

• Revisiting contour-driven and knowledge-based deformable models: application to 2D-3D proximal femur reconstruction from X-ray images

Cicalese, Pietro Antonio

• MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors

Claes, Peter

• Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling

Clahsen-van Groningen, Marian

• MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors

Classe, Marion

• Weakly supervised pan-cancer segmentation tool

Claudio Quiros, Adalberto

• Adversarial learning of cancer tissue representations

Coatrieux, Jean-Louis

• CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Chamber Segmentation

Cochet, Hubert

• Phase-independent Latent Representation for Cardiac Shape Analysis

Colgin, Laura L.

• Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modeling

Combs, Stephanie E.

• Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer?

Compaire, Fanny

• POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring

Cong, Cong

• Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images

Conze, Pierre-Henri

• Multi-Task, Multi-Domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets

Cook, Stuart

• Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation

Cootes, Timothy

• MASC-Units: Training Oriented Filters for Segmenting Curvilinear Structures

Costa da Silva, Eduardo

• Sharpening Local Interpretable Model-agnostic Explanations for Histopathology: Improved Understandability and Reliability

Cotin, Stephane

• Intra-operative Update of Boundary Conditions for Patient-specific Surgical Simulation

Coudray, Nicolas

• Adversarial learning of cancer tissue representations

Coupé, Pierrick

• POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring

Couronné, Raphaël

• Longitudinal self-supervision to disentangle inter-patient variability from disease progression

Crawford, Ross

• 3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training

Crocetti, Deana

• A Matrix Auto-encoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes

Croquet, Balder

• Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling

Cui, Can

• LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation
• Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-specific Pruning

Cui, Hui

• Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network
• Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction

Cui, Jinze

• Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning

Cui, Shuguang

• Shallow Attention Network for Polyp Segmentation
• Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference
• Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment

Cui, Zhiming

• VertNet: Accurate Vertebra Localization and Identification Network from CT Images
• Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint
• Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning
• Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks
• Confidence-aware Cascaded Network for Fetal Brain Segmentation on MR Images

Cui, Zhiying

• Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor

Czempiel, Tobias

• OperA: Attention-Regularized Transformers for Surgical Phase Recognition
• Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs

D'Souza, Niharika Shimona

• A Matrix Auto-encoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes

D'hooge, Jan

• Interactive segmentation via deep learning and B-spline explicit active surfaces

Da Cruz, Lyndon

• Effective semantic segmentation in Cataract surgery: What matters most?

Dadashkarimi, Javid

• Data-driven mapping between functional connectomes using optimal transport

Dadsetan, Saba

• Radiomics-informed Deep Curriculum Learning for Breast Cancer Diagnosis

Daescu, Ovidiu

• Survival Prediction Based on Histopathology Imaging and Clinical Data: A Novel, Whole Slide CNN Approach

Dai, Dao-Qing

• MetaCon: Meta Contrastive Learning for Microsatellite Instability Detection

Dai, Haixing

• Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder

Dall'Alba, Diego

• Intra-operative Update of Boundary Conditions for Patient-specific Surgical Simulation

Dan, Tingting

• Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold

Dao, Minh

• VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs

Darazs, Barbara

• Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19

Das, Bipul

• Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19

Das, Sukesh Kumar

• Estimation of spontaneous neuronal activity using homomorphic filtering

Davatzikos, Christos

• Harmonization with Flow-based Causal Inference

David, Anna L.

• Labels-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
• AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes

Dawant, Benoit M.

• Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks

Day, Thomas

• Detecting Outliers with Poisson Image Interpolation
• Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps

Daza, Laura

• Towards Robust General Medical Image Segmentation

De Benetti, Francesca

• Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning

De, Suvranu

• Interhemispheric functional connectivity in the primary motor cortex distinguishes between training on a physical and a virtual surgical simulator

Debreuve, Eric

• Renal Cell Carcinoma Classification from Vascular Morphology

Debus, Jürgen

• Continuous-Time Deep Glioma Growth Models

Dehghan, Masood

• TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection

Dehkharghanian, Taher

• Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images

Deligiannis, Nikos

• Interpretable deep learning for multimodal super-resolution of medical images

Demaerel, Philippe

• Labels-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation

Demirbilek, Oytun

• Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates

Deng, Hannah H.

• DLLNet: An Attention-based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models
• Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning
• A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning

Deng, Ruining

• SimTriplet: Simple Triplet Representation Learning with a Single GPU

Denzinger, Felix

• SyNCCT: Synthetic Non-Contrast Images of the Brain from Single-Energy Computed Tomography Angiography

Deppen, Steve

• Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective

Deprest, Jan

• Labels-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
• Interactive segmentation via deep learning and B-spline explicit active surfaces

Deprest, Thomas

• Labels-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation

Deriche, Rachid

• A spherical convolutional neural network for white matter structure imaging via diffusion MRI

Descombes, Xavier

• Renal Cell Carcinoma Classification from Vascular Morphology

Deslauriers-Gauthier, Samuel

• A spherical convolutional neural network for white matter structure imaging via diffusion MRI

Desrosiers, Christian

• SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images
• Context-aware virtual adversarial training for anatomically-plausible segmenation

Deutsch, Eric

• Weakly supervised pan-cancer segmentation tool
• High-particle simulation of Monte-Carlo dose distribution with 3D ConvLSTMs

Dey, Neel

• Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI

Dey, Raunak

• ASC-Net: Adversarial-based Selective Network for Unsupervised Anomaly Segmentation

Dhanyasi, Nagaraju

• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Di Ieva, Antonio

• Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images

Di, Xing

• DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Dickscheid, Timo

• 2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks

Diehl, Beate

• Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures

Diep, Gia-Han

• Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
• CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation

Dillenseger, Jean-Louis

• CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Chamber Segmentation

Ding, Jia

• Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations

Ding, Meng

• TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

Ding, Mingjun

• Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction

Ding, Qiaoqiao

• Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction

Ding, Weizhen

• Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment

Ding, Xiaowei

• SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset

Ding, Xinghao

• Generator Versus Segmentor: Pseudo-healthy Synthesis
• Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction

Ding, Yanhui

• Synthesis of Contrast-enhanced Spectral Mammograms from Low-energy Mammograms Using cGAN-Based Synthesis Network

Ding, Yukun

• Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition

Dinsdale, Nicola K.

• TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations

Ditt, Hendrik

• SyNCCT: Synthetic Non-Contrast Images of the Brain from Single-Energy Computed Tomography Angiography

Do, Tuong

• Multiple Meta-model Quantifying for Medical Visual Question Answering

Dolz, Jose

• Orthogonal Ensemble Networks for Biomedical Image Segmentation

Dong, Bin

• Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation

Dong, Changfeng

• USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning

Dong, Ming

• SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation

Dong, Nanqing

• Federated Contrastive Learning for Decentralized Unlabeled Medical Images

Doran, Simon J.

• Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification

Dorent, Reuben

• Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation

Dou, Haoran

• Flip Learning: Erase to Segment

Dou, Qi

• Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer
• Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
• Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching
• E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception

Doughty, Mitchell

• SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance

Dreizin, David

• An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma

Dromey, Brian

• AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes

Droste, Richard

• Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning using Landmark Retrieval

Drukker, Lior

• Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning using Landmark Retrieval

Drummond, Tom

• Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition

Du, Qing

• Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition

Du, Rose

• Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose

Duan, Jinming

• Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration

Duan, Qi

• Hybrid Supervision Learning for Whole Slide Image Classification

Duanmu, Hongyi

• Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains

Duchesnay, Edouard

• Contrastive Learning with Continuous Proxy Meta-Data For 3D MRI Classification

Dufumier, Benoit

• Contrastive Learning with Continuous Proxy Meta-Data For 3D MRI Classification

Duh, Been-Lirn

• Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network
• Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction

Duncan, James S.

• Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network
• Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography
• Distortion Energy for Deep Learning-based Volumetric Finite Element Mesh Generation for Aortic Valves
• Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth

Dunnmon, Jared A.

• Observational Supervision for Medical Image Classification using Gaze Data

Durr, Nicholas J.

• A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos

Durrleman, Stanley

• Longitudinal self-supervision to disentangle inter-patient variability from disease progression

Dutta, Anirban

• Interhemispheric functional connectivity in the primary motor cortex distinguishes between training on a physical and a virtual surgical simulator

Dutta, Sandeep

• Personalized CT Organ Dose Estimation from Scout Images

Dylov, Dmitry V.

• Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution

Egan, Gary

• Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation

Eilers, Christine

• Rethinking Ultrasound Augmentation: A Physics-Inspired Approach

Eilertsen, Gabriel

• Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection

El Barbari, Jan Siad

• C-arm positioning for spinal standard projections in different intra-operative settings
• Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery

El Fakhri, Georges

• Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis
• Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation

El Hussein, Siba

• Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms

El-Shabrawi, Yosuf

• LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos

Elbaz, Mohammed S.M.

• Stochastic 4D Flow Vector-Field Signatures: A new approach for comprehensive 4D Flow MRI quantification

Eldar, Yonina C.

• Learned super resolution ultrasound for improved breast lesion characterization

Elson, Daniel S.

• Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images

Eltigani Osman Abaker, Mohamedelfatih

• Survival Prediction Based on Histopathology Imaging and Clinical Data: A Novel, Whole Slide CNN Approach

Emam, Doaa

• Labels-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation

Emami, Hajar

• SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation

Engel, Jay

• Graph Transformers for Characterization and Interpretation of Surgical Margins

Engert, Florian

• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Engkvist, Ola

• Parallel Capsule Networks for Classification of White Blood Cells

Eriksson, Anders

• End-to-end Ugly Duckling Sign Detection for Melanoma Identification with Transformers

Esfandiari, Hooman

• A new Approach to Orthopedic Surgery Planning using Deep Reinforcement Learning and Simulation

Eskandari, Mehdi

• DeepMitral: Fully Automatic 3D Echocardiography Segmentation for Patient Specific Mitral Valve Modelling

Espinel, Yamid

• Using Multiple Images and Contours for Deformable 3D-2D Registration of a Preoperative CT in Laparoscopic Liver Surgery

Estienne, Théo

• Weakly supervised pan-cancer segmentation tool

Eyler, Lisa

• Contrastive Learning with Continuous Proxy Meta-Data For 3D MRI Classification

Ezhov, Ivan

• Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations

Faber, Hanna

• Interpretable gender classification from retinal fundus images using BagNets

Faghihroohi, Shahrooz

• An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma
• A Line to Align: Deep Dynamic Time Warping for Retinal OCT Segmentation

Fan, Bingjie

• Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction

Fan, Deng-Ping

• Progressively Normalized Self-Attention Network for Video Polyp Segmentation

Fan, Jianping

• ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

Fan, Lei

• Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images

Fan, Richard E.

• Weakly Supervised Registration of Prostate MRI and Histopathology Images

Fan, Yubo

• Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks

Fang, Huihui

• Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition

Farshad, Mazda

• Acoustic-based Spatio-temporal Learning for Press-fit Evaluation of Femoral Stem Implants

Favre, Pauline

• Contrastive Learning with Continuous Proxy Meta-Data For 3D MRI Classification

Fehri, Hamid

• Early Detection of Liver Fibrosis Using Graph Convolutional Networks

Fei, Hongwen

• Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition
• EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis

Fejes, Mate

• Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19

Feng, Cheng

• USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning

Feng, Chun-Mei

• Task Transformer Network for Joint MRI Reconstruction and Super-Resolution
• Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network

Feng, Dagan

• A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation

Feng, Jianjiang

• SGNet: Structure-aware Graph-based Network for Airway Semantic Segmentation

Feng, Ming

• 3D Brain Midline Delineation for Hematoma Patients

Feng, Qianjin

• Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint

Feng, Ruiming

• IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation

Feng, Shixiang

• SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation

Feng, Tian

• Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network

Feng, Yangqin

• Few-Shot Domain Adaptation with Polymorphic Transformers

Feng, Zunlei

• A Location Constrained Dual-branch Network for Reliable Diagnosis of Jaw Tumors and Cysts

Ferenczi, Lehel

• Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19

Fernandez-Pol, Sebastian

• GloFlow: Whole Slide Image Stitching from Video using Optical Flow and Global Image Alignment

Ferrante, Enzo

• Orthogonal Ensemble Networks for Biomedical Image Segmentation
• Image-derived phenotype extraction for genetic discovery via unsupervised deep learning in CMR images
• Hybrid graph convolutional neural networks for anatomical segmentation

Fichtinger, Gabor

• Graph Transformers for Characterization and Interpretation of Surgical Margins

Fidon, Lucas

• Labels-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation

Fine, Jeffrey L.

• Prototypical models for classifying high-risk atypical breast lesions

Fiorini, Paolo

• Intra-operative Update of Boundary Conditions for Patient-specific Surgical Simulation

Fischbach, Ricarda

• Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation

Foncubierta-Rodriguez, Antonio

• Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs

Frangi, Alejandro F.

• Style Curriculum Learning for Robust Medical Image Segmentation
• Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
• Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation
• Image-derived phenotype extraction for genetic discovery via unsupervised deep learning in CMR images
• Flip Learning: Erase to Segment
• A Deep Discontinuity-Preserving Image Registration Network

François, Tom

• Image-based Incision Detection for Topological Intraoperative 3D Model Update in Augmented Reality Assisted Laparoscopic Surgery

Frisken, Sarah

• Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose

Fu, Hao

• Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images

Fu, Huazhu

• Task Transformer Network for Joint MRI Reconstruction and Super-Resolution
• Progressively Normalized Self-Attention Network for Video Polyp Segmentation
• Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network
• Few-Shot Domain Adaptation with Polymorphic Transformers
• A Multi-Branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation

Fu, Jiajun

• U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction

Fu, Jie

• Few-Shot Domain Adaptation with Polymorphic Transformers

Fu, Pingfu

• LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis

Fujii, Kazuma

• Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification

Furin, Jennifer

• LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis

Fürnstahl, Philipp

• Acoustic-based Spatio-temporal Learning for Press-fit Evaluation of Femoral Stem Implants
• A new Approach to Orthopedic Surgery Planning using Deep Reinforcement Learning and Simulation

Gabrani, Maria

• Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs

Gaggion, Nicolás

• Hybrid graph convolutional neural networks for anatomical segmentation

Galdran, Adrian

• Balanced-MixUp for highly imbalanced medical image classification

Gallardo, Mathias

• CataNet: Predicting remaining cataract surgery duration

Gan, Dailin

• Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning

Ganz, Reinhold

• A new Approach to Orthopedic Surgery Planning using Deep Reinforcement Learning and Simulation

Gao, Hao

• Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction

Gao, Mingchen

• Few-shot Transfer Learning for Hereditary Retinal Diseases Recognition

Gao, Mingxuan

• DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image

Gao, Riqiang

• Pancreas CT Segmentation by Predictive Phenotyping
• Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective

Gao, Ruiliang

• Improving hexahedral-FEM-based plasticity in surgery simulation

Gao, Shenghua

• Partial-supervised Learning for Vessel Segmentation in Ocular Images

Gao, Shijian

• Surgical Workflow Anticipation using Instrument Interaction

Gao, Xiaojie

• Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer

Gao, Yunhe

• UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

Gao, Zeyu

• Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
• Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image

Gao, Zhifan

• Joint Segmentation and Quantification of Main Coronary Vessels Using Dual-branch Multi-scale Attention Network

Gao, Zhitong

• Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation

Gao, Zhiyang

• GQ-GCN: Group Quadratic Graph Convolutional Network for Classification of Histopathological Images

Garbi, Rafeef

• Culprit-Prune-Net: Efficient Continual Sequential Multi-Domain Learning with Application to Skin Lesion Classification

Garcia Martin, Natalia

• Early Detection of Liver Fibrosis Using Graph Convolutional Networks

Gateno, Jaime

• DLLNet: An Attention-based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models
• Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning
• A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning

Gatidis, Sergios

• Uncertainty-Guided Progressive GANs for Medical Image Translation

Gattu, Rishabh

• Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction
• Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms

Ge, Jia

• DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Ge, Shen

• Automatic Severity Rating for Improved Psoriasis Treatment
• AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation

Ge, Zongyuan

• Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
• Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition
• Medical Matting: A New Perspective on Medical Segmentation with Uncertainty
• End-to-end Ugly Duckling Sign Detection for Melanoma Identification with Transformers

Gempt, Jens

• Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning

Gerber, Kate

• Semantic Consistent Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation

Gerber, Nicolas

• Semantic Consistent Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation

Gerig, Guido

• Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI

Gerlach, Thomas

• 2.5D Thermometry Maps for MRI-guided Tumor Ablation

Ghamsarian, Negin

• LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos

Ghanouni, Pejman

• Weakly Supervised Registration of Prostate MRI and Histopathology Images

Gharbia, Omar

• Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling

Gholipour, Ali

• MRI Super-Resolution Through Generative Degradation Learning
• Convolution-Free Medical Image Segmentation using Transformer Networks
• Accurate parameter estimation in fetal diffusion-weighted MRI - learning from fetal and newborn data

Ghorbani, Mahsa

• GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference

Ghugre, Nilesh R.

• SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance

Giannarou, Stamatia

• Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images

Gilboa-Solomon, Flora

• Beyond Non-Maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes

Gilkeson, Robert

• LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis

Gkoutos, Georgios

• Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration

Glide-Hurst, Carri K.

• SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation

Glocker, Ben

• Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification
• Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps

Godau, Patrick

• Task Fingerprinting for Meta Learning in Biomedical Image Analysis

Gogineni, Keerthi

• Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains

Goh, Rick Siow Mong

• Partial-supervised Learning for Vessel Segmentation in Ocular Images
• Few-Shot Domain Adaptation with Polymorphic Transformers

Goksel, Orcun

• Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
• Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images

Golby, Alexandra

• Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose

Goldbach, Felix

• Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT

Goli, Leili

• Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs

Golland, Polina

• STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning
• Multimodal Representation Learning via Maximization of Local Mutual Information
• Equivariant Filters for Efficient Tracking in 3D Imaging

Gong, Lijun

• Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification

Gonzales, Ricardo A.

• TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline

Gonzalez, Camila

• Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation

González Ballester, Miguel A.

• Balanced-MixUp for highly imbalanced medical image classification

Goossens, Emery T.

• Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data

Gopinath, Karthik

• SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images

Gordon, Jacob W. H.

• Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data

Gori, Pietro

• Contrastive Learning with Continuous Proxy Meta-Data For 3D MRI Classification

Gotkowski, Karol

• Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation

Graf, Dimitri

• High-resolution segmentation of lumbar vertebrae from conventional thick slice MRI

Grammatikopoulou, Maria

• Detection of critical structures in laparoscopic cholecystectomy using label relaxation and self-supervision

Grant, P. Ellen

• STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning
• Equivariant Filters for Efficient Tracking in 3D Imaging

Graziani, Mara

• Sharpening Local Interpretable Model-agnostic Explanations for Histopathology: Improved Understandability and Reliability

Green, Jeremy

• Chest Radiograph Disentanglement for COVID-19 Outcome Prediction
• Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction
• Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms

Grigis, Antoine

• Contrastive Learning with Continuous Proxy Meta-Data For 3D MRI Classification

Grimm, Lars J.

• Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline

Grubstein, Ahuva

• Learned super resolution ultrasound for improved breast lesion characterization

Gu, Lixu

• Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
• Comprehensive Importance-based Selective Regularization for Continual Segmentation Across Multiple Sites
• A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images

Gu, Pengfei

• kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation

Gu, Ran

• Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation
• Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images
• Comprehensive Importance-based Selective Regularization for Continual Segmentation Across Multiple Sites

Gu, Shixuan

• RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans

Gu, Yujun

• Fully Test-time Adaptation for Image Segmentation

Gu, Yun

• Refined Local-imbalance-based Weight for Airway Segmentation in CT

Guan, Cuntai

• MT-UDA: Towards Unsupervised Cross-Modality Medical Image Segmentation with Limited Source Labels

Guan, Hao

• Tensor-based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-state fMRI
• Cost-Sensitive Meta-Learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI

Guan, Mengda

• Perceptual Quality Assessment of Chest Radiograph

Guan, Yulu

• Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network

Guffens, Frédéric

• Labels-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation

Guo, Dazhou

• SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
• DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Guo, Guodong

• Energy-Based Supervised Hashing for Multimorbidity Image Retrieval

Guo, Haiyan

• Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations

Guo, Hengtao

• End-to-end Ultrasound Frame to Volume Registration
• Cross-modal Attention for MRI and Ultrasound Volume Registration

Guo, Pengfei

• Over-and-Under Complete Convolutional RNN for MRI Reconstruction

Guo, Ruoyu

• Learning with Noise: Mask-guided Attention Model for Weakly Supervised Nuclei Segmentation

Guo, Xiaoqing

• Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation

Guo, Yike

• Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation

Guo, Yuanfan

• Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation

Gupta, Amit

• LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis

Gupta, Ashutosh

• Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images

Gupta, Soumya

• EndoUDA: A modality independent segmentation approach for endoscopy imaging

Gutberlet, Marcel

• 2.5D Thermometry Maps for MRI-guided Tumor Ablation

Habes, Mohamad

• Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds

Hacihaliloglu, Ilker

• Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

Hamarneh, Ghassan

• Culprit-Prune-Net: Efficient Continual Sequential Multi-Domain Learning with Application to Skin Lesion Classification

Hamghalam, Mohammad

• Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation

Hammernik, Kerstin

• Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

Han, Chu

• Reciprocal Learning for Semi-supervised Segmentation

Han, Hu

• M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19
• Conditional Training with Bounding Map for Universal Lesion Detection

Han, Jun

• Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation

Han, Kai

• Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non–Contrast CT Images

Han, Liang

• Unsupervised Network Learning for Cell Segmentation

Han, Mei

• Supervised Contrastive Pre-Training for Mammographic Triage Screening Models
• BI-RADS Classification of Calcification on Mammograms

Han, Mengxue

• Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information

Han, Seungjae

• Efficient neural network approximation of robust PCA for automated analysis of calcium imaging data

Han, Xian-Hua

• Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance
• 3D Graph-S2Net: Shape-Aware Self-Ensembling Network for Semi-Supervised Segmentation with Bilateral Graph Convolution

Han, Xiao

• TransPath: Transformer-based Self-supervised Learning for Histopathological Image Classification

Han, Xiaoguang

• Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference

Han, Xiaoyang

• MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures

Hansen, Christian

• 2.5D Thermometry Maps for MRI-guided Tumor Ablation

Hansen, Colin B.

• From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics

Hansen, Lasse

• Revisiting iterative highly efficient optimisation schemes in medical image registration

Haouchine, Nazim

• Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose

Harada, Shota

• Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels

Harandi, Mehrtash

• Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation

Harmeling, Stefan

• 2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks

Harrison, Adam P.

• SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
• Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings

Harrison, Josquin

• Phase-independent Latent Representation for Cardiac Shape Analysis

Hatamizadeh, Ali

• The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization for Medical Image Segmentation
• Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports

Hatsukami, Thomas S.

• Deep Open Snake Tracker for Vessel Tracing

Haugerud, Helene

• Multi-View Surgical Video Action Detection via Mixed Global View Attention

Havelock, Jon

• Automating Embryo Development Stage Detection in Time-Lapse Imaging with Synergic Loss and Temporal Learning

Hayashi, Hideaki

• Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels

Hayoz, Michel

• CataNet: Predicting remaining cataract surgery duration

He, Junjun

• Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
• A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images

He, Lei

• TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation

He, Nanjun

• MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification
• Deep Reinforcement Exemplar Learning for Annotation Refinement

He, Wanji

• Medical Matting: A New Perspective on Medical Segmentation with Uncertainty

He, Xiaowei

• Towards a non-invasive diagnosis of portal hypertension based on an Eulerian CFD model with diffuse boundary conditions

He, Xuming

• Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation

He, Yi

• Asymmetric 3D Context Fusion for Universal Lesion Detection

He, Yihua

• EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography

He, Yuting

• CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Chamber Segmentation

He, Zecheng

• A Hierarchical Feature Constraint to CamouflageMedical Adversarial Attacks

He, Zhiqiang

• TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation
• Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
• ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

Heckbert, Susan

• Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds

Heiberg, Einar

• TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline

Heiland, Sabine

• Continuous-Time Deep Glioma Growth Models

Heinrich, Mattias P.

• Revisiting iterative highly efficient optimisation schemes in medical image registration

Hemati, Sobhan

• Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images

Hendler, James

• AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray

Heng, Pheng-Ann

• Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer
• Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
• OXnet: Deep Omni-supervised Thoracic Disease Detection from Chest X-rays
• Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching
• Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video
• Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images

Henn, Thomas

• A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging

Henry, Théophraste

• Weakly supervised pan-cancer segmentation tool

Hensen, Bennet

• 2.5D Thermometry Maps for MRI-guided Tumor Ablation

Heo, Da-Woon

• Inter-Regional High-level Relation Learning from Functional Connectivity via Self-Supervision

Heo, Sunghwan

• hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries

Hepp, Tobias

• Uncertainty-Guided Progressive GANs for Medical Image Translation

Herczeg, Zita

• Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19

Hernandez-Martin, Estefania

• Increasing Consistency of Evoked Response in Thalamic Nuclei During Repetitive Burst Stimulation of Peripheral Nerve in Humans

Hernández-Sánchez, Enrique

• Combining Attention-based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection

Herrlinger, Stephanie

• Non-parametric vignetting correction for sparse spatial transcriptomics images

Herzog, Richard

• Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images

Higashita, Risa

• A Multi-Branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation

Hiremath, Amogh

• LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis

Ho, Ngoc-Vuong

• Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation

Hoch, Armando

• Acoustic-based Spatio-temporal Learning for Press-fit Evaluation of Femoral Stem Implants
• A new Approach to Orthopedic Surgery Planning using Deep Reinforcement Learning and Simulation

Holden, Matthew

• Surgical Workflow Anticipation using Instrument Interaction

Hong, Bangyang

• Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image

Hong, SeulGi

• hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries

Hong, Seungbum

• hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries

Hong, Yi

• ASC-Net: Adversarial-based Selective Network for Unsupervised Anomaly Segmentation

Hong, Yoonmi

• Active Cortex Tractography

Hong, Zhiwei

• Self-supervised visual representation learning for histopathological images

Hooper, Sarah M.

• Observational Supervision for Medical Image Classification using Gaze Data

Horng, Steven

• Multimodal Representation Learning via Maximization of Local Mutual Information

Hossain, Khondker Fariha

• RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network

Hou, Benjamin

• Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation
• RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting
• Detecting Outliers with Poisson Image Interpolation

Hou, Yuenan

• Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification

Hou, Zengguang

• Vessel Width Estimation via Convolutional Regression

Housmans, Susanne

• Interactive segmentation via deep learning and B-spline explicit active surfaces

Hovde, Øistein

• Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy

Hsu, Tzu-Ming Harry

• DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision

Hu, Chen

• Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework

Hu, Dan

• Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction
• Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep Learning

Hu, Dewei

• LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation

Hu, Hongjie

• Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance
• Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
• 3D Graph-S2Net: Shape-Aware Self-Ensembling Network for Semi-Supervised Segmentation with Bilateral Graph Convolution

Hu, Jiacong

• A Location Constrained Dual-branch Network for Reliable Diagnosis of Jaw Tumors and Cysts

Hu, Jie

• Joint PVL Detection and Manual Ability Classification using Semi-Supervised Multi-task Learning

Hu, Jingtong

• Positional Contrastive Learning for Volumetric Medical Image Segmentation
• Federated Contrastive Learning for Volumetric Medical Image Segmentation

Hu, Minhao

• Fully Test-time Adaptation for Image Segmentation

Hu, Peng

• Multimodal Multitask Deep Learning for X-Ray Image Retrieval

Hu, Qiang

• TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

Hu, Shi

• Learning to Predict Error for MRI Reconstruction

Hu, Wenxin

• Confidence-aware Cascaded Network for Fetal Brain Segmentation on MR Images

Hu, Xiaoling

• A Topological-Attention ConvLSTM Network and Its Application to EM Images

Hu, Xindi

• Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction

Hu, Xinrong

• Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation
• Positional Contrastive Learning for Volumetric Medical Image Segmentation

Hu, Yangwen

• Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data

Hu, Yipeng

• Learning to Address Intra-segment Misclassification in Retinal Imaging

Hu, Yiwen

• Shallow Attention Network for Polyp Segmentation

Hu, Zhiqiang

• Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation
• Hybrid Supervision Learning for Whole Slide Image Classification
• A Deep Reinforced Tree-traversal Agent for Coronary Artery Centerline Extraction

Hua, Binh-Son

• Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
• 3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation

Huang, Baoru

• Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images

Huang, Hailiang

• Interactive smoothing parameter optimization in DBT Reconstruction using Deep learning

Huang, Heng

• Radiomics-informed Deep Curriculum Learning for Breast Cancer Diagnosis
• Disentangled and Proportional Representation Learning for Multi-View Brain Connectomes
• BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation

Huang, Hongyu

• Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction

Huang, Huimin

• Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
• 3D Graph-S2Net: Shape-Aware Self-Ensembling Network for Semi-Supervised Segmentation with Bilateral Graph Convolution

Huang, Jinghan

• CA^{2.5}-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection

Huang, Junzhou

• TransPath: Transformer-based Self-supervised Learning for Histopathological Image Classification
• Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information
• Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
• From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks
• DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image

Huang, Kuan-Chih

• Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

Huang, Lingyun

• Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
• Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
• Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images
• SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
• Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection
• Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings
• Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers
• DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Huang, Luojie

• A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos

Huang, Meiping

• Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition
• Positional Contrastive Learning for Volumetric Medical Image Segmentation
• EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis

Huang, Peng

• Energy-Based Supervised Hashing for Multimorbidity Image Retrieval

Huang, Rian

• Reciprocal Learning for Semi-supervised Segmentation

Huang, Rui

• Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation

Huang, Wei

• Learning Neuron Stitching for Connectomics

Huang, Xiaodi

• Hybrid Supervision Learning for Whole Slide Image Classification

Huang, Xiaolei

• LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images
• A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis

Huang, Xiaoqiong

• Style Curriculum Learning for Robust Medical Image Segmentation
• Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction

Huang, Yangsibo

• EMA: Auditing Data Removal from Trained Models

Huang, Yelin

• Medical Matting: A New Perspective on Medical Segmentation with Uncertainty

Huang, Yijin

• Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
• I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive constraining
• BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images

Huang, Yongqiang

• Dual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction

Huang, Yue

• Generator Versus Segmentor: Pseudo-healthy Synthesis
• Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction

Huang, Yuhao

• Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
• Flip Learning: Erase to Segment

Huang, Zhuobin

• Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold

Huang, Ziwang

• Integration of Patch Features through Self-Supervised Learning and Transformer for Survival Analysis on Whole Slide Images

Huo, Long

• Joint Spinal Centerline Extraction and Curvature Estimation with Row-wise Classification and Curve Graph Network

Huo, Yuankai

• SimTriplet: Simple Triplet Representation Learning with a Single GPU
• Pancreas CT Segmentation by Predictive Phenotyping
• Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective
• From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics

Hurtado, Antonio

• Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels

Huynh, Khoi Minh

• Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values

Huynh, Thang Q.

• VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs

Hwang, Jenq-Neng

• Deep Open Snake Tracker for Vessel Tracing

Hwang, Seong Jae

• PAC Bayesian Performance Guarantees for (Stochastic) Deep Networks in Medical Imaging

Hyung, Woo Jin

• hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries

Iakovidis, Dimitris K.

• Explainable Classification of Weakly Annotated Wireless Capsule Endoscopy Images based on a Fuzzy Bag-of-Colour Features Model and Brain Storm Optimization

Ilanchezian, Indu

• Interpretable gender classification from retinal fundus images using BagNets

Imran, Abdullah-Al-Zubaer

• Personalized CT Organ Dose Estimation from Scout Images

Indla, Vineela

• MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis

Intes, Xavier

• Interhemispheric functional connectivity in the primary motor cortex distinguishes between training on a physical and a virtual surgical simulator

Iriart, Xavier

• Phase-independent Latent Representation for Cardiac Shape Analysis

Isaiah, Amal

• Covariate Correcting Networks for Identifying Associations between Socioeconomic Factors and Brain Outcomes in Children

Isensee, Fabian

• nnDetection: A Self-configuring Method for Medical Object Detection
• Continuous-Time Deep Glioma Growth Models

Ishihara, Hiroyuki

• A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging

Islam, Mobarakol

• Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation

Iwamoto, Yutaro

• Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance
• 3D Graph-S2Net: Shape-Aware Self-Ensembling Network for Semi-Supervised Segmentation with Bilateral Graph Convolution

Jacob, Joseph

• Learning to Address Intra-segment Misclassification in Retinal Imaging

Jacquet, Clément

• A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging

Jaganathan, Srikrishna

• Deep Iterative 2D/3D Registration

Jagersand, Martin

• TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection

Jahanifar, Mostafa

• Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification

Jahanshad, Neda

• Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization

Jaimes, Camilo

• Accurate parameter estimation in fetal diffusion-weighted MRI - learning from fetal and newborn data

Jamaludin, Amir

• Self-Supervised Multi-Modal Alignment For Whole Body Medical Imaging

Jamzad, Amoon

• Graph Transformers for Characterization and Interpretation of Surgical Margins

Jang, Won-Dong

• Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field

Janssen, Emiel A. M.

• Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains

Jaremko, Jacob

• TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection

Jaume, Guillaume

• Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs

Javadi, Golara

• Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels

Jawahar, C.V.

• Efficient and Generic Interactive Segmentation Framework to Correct Mispredictions during Clinical Evaluation of Medical Images

Jayender, Jagadeesan

• Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation
• EMDQ-SLAM: Real-time High-resolution Reconstruction of Soft Tissue Surface from Stereo Laparoscopy Videos

Jena, Rohit

• Self-Supervised Vessel Enhancement Using Flow-Based Consistencies

Jenkins, Rebekah

• Prototypical models for classifying high-risk atypical breast lesions

Jenkinson, Mark

• TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations
• Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging

Jensen, Paul

• Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds

Jeon, Eunjin

• Meta-Modulation Network for Domain Generalization in Multi-site fMRI Classification
• Inter-Regional High-level Relation Learning from Functional Connectivity via Self-Supervision

Jha, Aadarsh

• SimTriplet: Simple Triplet Representation Learning with a Single GPU

Jha, Debesh

• Progressively Normalized Self-Attention Network for Video Polyp Segmentation

Ji, Ge-Peng

• Progressively Normalized Self-Attention Network for Video Polyp Segmentation

Ji, Hui

• Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction

Ji, Mengyao

• LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis

Ji, Wei

• Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification

Ji, Yan

• Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
• From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks

Ji, Yuanfeng

• Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation
• Multi-Compound Transformer for Accurate Biomedical Image Segmentation

Jia, Chang

• Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image

Jia, Weikuan

• Synthesis of Contrast-enhanced Spectral Mammograms from Low-energy Mammograms Using cGAN-Based Synthesis Network

Jia, Xi

• Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration

Jia, Xiao

• HRENet: A Hard Region Enhancement Network for Polyp Segmentation

Jian, Bailiang

• Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning

Jiang, Caiwen

• Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint

Jiang, Mingxin

• Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks

Jiang, Rui

• Self-supervised visual representation learning for histopathological images

Jiang, Shanshan

• Over-and-Under Complete Convolutional RNN for MRI Reconstruction

Jiang, Tingting

• Multi-level Relationship Capture Network for Automated Skin Lesion Recognition

Jiang, Wenting

• Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference

Jiang, Xi

• Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks
• Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder

Jiang, Xiajun

• Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling

Jiang, Yanyun

• Synthesis of Contrast-enhanced Spectral Mammograms from Low-energy Mammograms Using cGAN-Based Synthesis Network

Jiang, Yicheng

• Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference

Jin, Dakai

• SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
• DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Jin, Lei

• Partial-supervised Learning for Vessel Segmentation in Ocular Images

Jin, Qiangguo

• Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network
• Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction

Jin, Yueming

• Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer
• Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
• Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video

Joel, Suresh Emmanuel

• Acceleration by deep-learnt sharing of superfluous information in multi-contrast MRI

Jonmohamadi, Yaqub

• 3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training

Joshi, Anirudh

• GloFlow: Whole Slide Image Stitching from Video using Optical Flow and Global Image Alignment

Joutard, Samuel

• Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation

Ju, Lie

• Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition
• Medical Matting: A New Perspective on Medical Segmentation with Uncertainty

Juhl, Kristine Aavild

• Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies

Jung, Euijin

• Conditional GAN with an Attention-based Generator and a 3D Discriminator for 3D Medical Image Generation

Jung, Wonsik

• Inter-Regional High-level Relation Learning from Functional Connectivity via Self-Supervision

Juvekar, Parikshit

• Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose

Jäger, Paul F.

• nnDetection: A Self-configuring Method for Medical Object Detection
• Continuous-Time Deep Glioma Growth Models

Jürgens, Markus

• SyNCCT: Synthetic Non-Contrast Images of the Brain from Single-Energy Computed Tomography Angiography

K, Krishna Swaroop

• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Kadir, Timor

• Self-Supervised Multi-Modal Alignment For Whole Body Medical Imaging

Kadoury, Samuel

• Personalized Respiratory Motion Model Using Conditional Generative Networks for MR-Guided Radiotherapy
• Multimodal Sensing Guidewire for C-arm Navigation with Random UV Enhanced Optical Sensors using Spatio-temporal Networks

Kainz, Bernhard

• Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation
• RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting
• Detecting Outliers with Poisson Image Interpolation
• Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps

Kaiser, Martin F.

• Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification

Kaissis, Georgios

• RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting

Kalia, Megha

• Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data

Kalra, Shivam

• Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images

Kaltenborn, Isabel

• Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation

Kamat, Anil

• Interhemispheric functional connectivity in the primary motor cortex distinguishes between training on a physical and a virtual surgical simulator

Kamran, Sharif Amit

• RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network

Kamraoui, Reda Abdellah

• POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring

Kandror, Elena K

• Non-parametric vignetting correction for sparse spatial transcriptomics images

Kang, Eunsong

• Meta-Modulation Network for Domain Generalization in Multi-site fMRI Classification

Kang, Han

• M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19

Kao, Chia-Hsiang

• Demystifying T1-MRI to FDG18-PET Image Translation via Representational Similarity

Kao, Shih-Hsuan

• Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

Kapur, Jeevesh

• TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection

Kapur, Tina

• Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose

Karaoglu, Mert Asim

• Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation

Karbasi, Amin

• Data-driven mapping between functional connectomes using optimal transport

Karimi, Davood

• Convolution-Free Medical Image Segmentation using Transformer Networks
• Accurate parameter estimation in fetal diffusion-weighted MRI - learning from fetal and newborn data

Kashyap, Raman

• Multimodal Sensing Guidewire for C-arm Navigation with Random UV Enhanced Optical Sensors using Spatio-temporal Networks

Kassam, Zahra

• mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network

Kasthuri, Narayanan

• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Kastryulin, Sergey

• Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution

Katsaggelos, Aggelos K.

• Combining Attention-based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection

Kaufman, Arie

• FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos

Kaufmann, Martin

• Graph Transformers for Characterization and Interpretation of Surgical Margins

Kausch, Lisa

• C-arm positioning for spinal standard projections in different intra-operative settings

Kazi, Anees

• GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference

Ke, Jing

• Contrastive Learning Based Stain Normalization Across Multiple Tumor Histopathology
• CA^{2.5}-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection

Keane, Pearse A.

• Learning to Address Intra-segment Misclassification in Retinal Imaging

Keicher, Matthias

• Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs

Kellman, Michael

• Memory-efficient Learning for High-dimensional MRI Reconstruction

Kendrick, Keith

• Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks

Khakzar, Ashkan

• Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models
• Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
• Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features

Khalili, Nadieh

• Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations

Khan, Shadab

• Accurate parameter estimation in fetal diffusion-weighted MRI - learning from fetal and newborn data

Khapun, Daniel

• Beyond Non-Maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes

Khoury, Joseph

• Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms

Kim, Connie

• Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline

Kim, Daeseung

• Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning
• A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning

Kim, Heejong

• Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI

Kim, Hosung

• Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization

Kim, Jinman

• A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation

Kim, Kyungeun

• Ranking loss: A ranking-based deep neural network for colorectal cancer grading in pathology images

Kim, Mansu

• A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits

Kim, Myeong-Gee

• Learning-based attenuation quantification in abdominal ultrasound
• A Neural Framework for Multi-Variable Lesion Quantification Through B-mode Style Transfer

Kim, Seong Tae

• Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models
• OperA: Attention-Regularized Transformers for Surgical Phase Recognition
• Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
• Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features

Kim, Theodore

• Distortion Energy for Deep Learning-based Volumetric Finite Element Mesh Generation for Aortic Valves

Kim, Won Hwa

• Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study
• Covariate Correcting Networks for Identifying Associations between Socioeconomic Factors and Brain Outcomes in Children

Kim, Yoon

• Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field

Kim, Youngmin

• Learning-based attenuation quantification in abdominal ultrasound
• A Neural Framework for Multi-Variable Lesion Quantification Through B-mode Style Transfer

King, Andrew P.

• Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation

Kirschke, Jan Stefan

• Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning

Kiyasseh, Dani

• Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning

Klein, André

• C-arm positioning for spinal standard projections in different intra-operative settings

Kobak, Dmitry

• Interpretable gender classification from retinal fundus images using BagNets

Koeppl, Heinz

• Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy

Koh, Dow-Mu

• Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification

Kondi, Lisimachos

• Interpretable deep learning for multimodal super-resolution of medical images

Kong, Fanwei

• Whole Heart Mesh Generation For Image-Based Computational Simulations By Learning Free-From Deformations

Kong, Jun

• Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains

Kong, Youyong

• CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Chamber Segmentation

Kong, Zishang

• Learnable Oriented-Derivative Network for Polyp Segmentation

Konukoglu, Ender

• Quality-Aware Memory Network for Interactive Volumetric Image Segmentation
• High-resolution segmentation of lumbar vertebrae from conventional thick slice MRI

Konwer, Aishik

• Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction

Kordon, Florian

• Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery

Kornreich, Micha

• Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images

Kotecha, Dipak

• Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration

Krause, Mechthild

• Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer?

Krishna, Viswesh

• GloFlow: Whole Slide Image Stitching from Video using Optical Flow and Global Image Alignment

Krishnaswamy, Pavitra

• Multimodal Multitask Deep Learning for X-Ray Image Retrieval

Kuang, Kaiming

• Asymmetric 3D Context Fusion for Universal Lesion Detection

Kuang, Tianshu

• DLLNet: An Attention-based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models
• Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning
• A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning

Kuang, Xihe

• SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset

Kuang, Yehong

• Automatic Severity Rating for Improved Psoriasis Treatment

Kujawa, Aaron

• Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation

Kunder, Christian A.

• Weakly Supervised Registration of Prostate MRI and Histopathology Images

Kunze, Holger

• C-arm positioning for spinal standard projections in different intra-operative settings
• Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery

Kuo, Chang-Fu

• Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images

Kwak, Jin Tae

• Ranking loss: A ranking-based deep neural network for colorectal cancer grading in pathology images

Kwon, Doyoung

• ReSGAN: Intracranial Hemorrhage Segmentation with Residuals of Synthetic Brain CT Scans

Kwon, Hyuksool

• Learning-based attenuation quantification in abdominal ultrasound
• A Neural Framework for Multi-Variable Lesion Quantification Through B-mode Style Transfer

Köhler, Gregor

• Continuous-Time Deep Glioma Growth Models

L. Sapp, John

• Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling

LaViolette, Aaron K.

• Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy

Lachinov, Dmitrii

• Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT

Ladikos, Alexander

• Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation

Laguduva Ramnath, Vishalini

• MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis

Lamy, Jérôme

• TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline

Lan, Chou-Chin

• Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

Lan, Kai

• Few Trust Data Guided Annotation Refinement for Upper Gastrointestinal Anatomy Recognition

Landman, Bennett A.

• Pancreas CT Segmentation by Predictive Phenotyping
• Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective

Lang, Yankun

• DLLNet: An Attention-based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models
• Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning
• A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning

Langdon, Jonathan

• Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography

Larrazabal, Agostina J.

• Orthogonal Ensemble Networks for Biomedical Image Segmentation

Larson, Kathleen E.

• LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation

Lasko, Thomas A.

• Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective

Lattermann, Annika

• Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer?

Laurienti, Paul

• Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold

Le, Ngan

• Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
• 3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation

Leahy, Brian

• Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field

Lee, Brian

• Determination of error in 3D CT to 2D fluoroscopy image registration for endobronchial guidance

Lee, Ching-Yi

• Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images

Lee, Deukhee

• Sequential Lung Nodule Synthesis using Attribute-guided Generative Adversarial Networks

Lee, Ho Hin

• Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective

Lee, Hohin

• Pancreas CT Segmentation by Predictive Phenotyping

Lee, Jaein

• Meta-Modulation Network for Domain Generalization in Multi-site fMRI Classification
• Inter-Regional High-level Relation Learning from Functional Connectivity via Self-Supervision

Lee, Jiwon

• hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries

Lee, Kisuk

• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Lee, Minho

• ReSGAN: Intracranial Hemorrhage Segmentation with Residuals of Synthetic Brain CT Scans

Lee, Sungwon

• Unsupervised Domain Adaptation for Small Bowel Segmentation using Disentangled Representation

Lee, Won-Sook

• Surgical Workflow Anticipation using Instrument Interaction

Lee, Yong Oh

• Sequential Lung Nodule Synthesis using Attribute-guided Generative Adversarial Networks

Lee, Yueh

• Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values

Leeson, Paul

• Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation

Legghe, Benoit

• Phase-independent Latent Representation for Cardiac Shape Analysis

Lei, Baiying

• Selective Learning from External Data for CT Image Segmentation
• Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation

Lei, Jie

• A Location Constrained Dual-branch Network for Reliable Diagnosis of Jaw Tumors and Cysts

Lei, Wenhui

• Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation
• Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images

Leiberg, Karoline

• Local Morphological Measures Confirm that Folding within Small Partitions of the Human Cortex Follows Universal Scaling Law

Lekadir, Karim

• Style Curriculum Learning for Robust Medical Image Segmentation

Leo, Patrick

• SPARTA: An Integrated Stability, Discriminability, and Sparsity based Radiomic Feature Selection Approach

Lerch, Till D.

• Semantic Consistent Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation

Lerousseau, Marvin

• Weakly supervised pan-cancer segmentation tool

Leroy, Amaury

• Weakly supervised pan-cancer segmentation tool

Li, Ao

• Instance-aware Feature Alignment for Cross-domain Cell Nuclei Detection in Histopathology Images

Li, Bin

• Deep-Cleansing: Deep-learning based Electronic Cleansing in Dual-energy CT Colonography

Li, Bo

• Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis

Li, Bowen

• Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings

Li, Butuo

• Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction

Li, Changjian

• VertNet: Accurate Vertebra Localization and Identification Network from CT Images

Li, Chao

• Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction
• Quantifying structural connectivity in brain tumor patients

Li, Chen

• Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
• Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image

Li, Cheng

• Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework
• Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
• A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images

Li, Chenxin

• Generator Versus Segmentor: Pseudo-healthy Synthesis

Li, Chunxiao

• Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation

Li, Dengwang

• mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network

Li, Fei

• Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition

Li, Gang

• Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction
• Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network
• Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks
• Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep Learning
• A Deep Network for Joint Registration and Parcellation of Cortical Surfaces

Li, Guanbin

• Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation
• Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment

Li, Han

• Conditional Training with Bounding Map for Universal Lesion Detection

Li, Hang

• Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information
• DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image
• Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification

Li, Hanyu

• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Li, Hao

• LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation

Li, Haoming

• 3D Brain Midline Delineation for Hematoma Patients

Li, Honglin

• Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-specific Pruning

Li, Hongsheng

• Hybrid Supervision Learning for Whole Slide Image Classification
• Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification

Li, Hongwei

• Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations

Li, Hongxiao

• Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains

Li, Jiahui

• Hybrid Supervision Learning for Whole Slide Image Classification

Li, Jiajun

• SSLP: Spatial Guided Self-supervised Learning on Pathological Images

Li, Jiang

• High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction

Li, Jiangyun

• TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

Li, Jianwu

• Quality-Aware Memory Network for Interactive Volumetric Image Segmentation

Li, Jiayun

• Hierarchical graph pathomic network for progression free survival prediction

Li, Jingjing

• Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
• From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks

Li, Jingsong

• Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting

Li, Kai

• EMA: Auditing Data Removal from Trained Models

Li, Lei

• Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation
• AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs

Li, Liulei

• Quality-Aware Memory Network for Interactive Volumetric Image Segmentation

Li, Mingqi

• Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition

Li, Qian

• Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation
• Few-shot Transfer Learning for Hereditary Retinal Diseases Recognition

Li, Qingli

• A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-domain Classification

Li, Rui

• TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation

Li, Rui-Qi

• Vessel Width Estimation via Convolutional Regression

Li, Shaohua

• Few-Shot Domain Adaptation with Polymorphic Transformers

Li, Shaozi

• Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation

Li, Shuailin

• Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation

Li, Shumeng

• MT-UDA: Towards Unsupervised Cross-Modality Medical Image Segmentation with Limited Source Labels

Li, Shuo

• mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network
• Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation
• CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Chamber Segmentation

Li, Wanlong

• Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network
• Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction

Li, Weisheng

• Medical Image Registration Based on Uncoupled Learning and Accumulative Enhancement

Li, Wenqi

• Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures

Li, Wenyuan

• Hierarchical graph pathomic network for progression free survival prediction

Li, Xiao-Xin

• Multimodal MRI Acceleration via Deep Cascading Networks with Peer-layer-wise Dense Connections

Li, Xiaoxiao

• EMA: Auditing Data Removal from Trained Models

Li, Xiu

• Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation
• Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation

Li, Xiuli

• Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non–Contrast CT Images

Li, Yan

• Few Trust Data Guided Annotation Refinement for Upper Gastrointestinal Anatomy Recognition

Li, Yang

• Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
• LDPolypVideo Benchmark: A Large-scale Colonoscopy Video Dataset of Diverse Polyps
• Joint PVL Detection and Manual Ability Classification using Semi-Supervised Multi-task Learning
• Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image
• Depth Estimation for Colonoscopy Images with Self-supervised Learning from Videos

Li, Yanwen

• Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images

Li, Yawei

• Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features

Li, Yicong

• Joint PVL Detection and Manual Ability Classification using Semi-Supervised Multi-task Learning

Li, Yiming

• Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non–Contrast CT Images

Li, Yingzhen

• A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging

Li, Yinhao

• Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance

Li, Yuexiang

• Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading
• Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images
• MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification
• InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction
• Deep Reinforcement Exemplar Learning for Annotation Refinement

Li, Yuwei

• IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation

Li, Zhaoshuo

• E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception
• An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma

Li, Zhen

• Shallow Attention Network for Polyp Segmentation
• Multi-Compound Transformer for Accurate Biomedical Image Segmentation
• Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment

Li, Zheng

• Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images

Li, Zheren

• Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms
• Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning

Li, Zhihe

• EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis

Li, Zhiyuan

• Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling

Li, Zhuowei

• A Deep Reinforced Tree-traversal Agent for Coronary Artery Centerline Extraction

Lian, Chunfeng

• VertNet: Accurate Vertebra Localization and Identification Network from CT Images
• DLLNet: An Attention-based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models
• Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning
• A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning

Lian, Sheng

• Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation

Liang, Kongming

• Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non–Contrast CT Images
• Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects

Liang, Liang

• Distortion Energy for Deep Learning-based Volumetric Finite Element Mesh Generation for Aortic Valves

Liang, Pengpeng

• Joint Spinal Centerline Extraction and Curvature Estimation with Row-wise Classification and Curve Graph Network

Liang, Shujun

• Residual Feedback Network for Breast Lesion Segmentation in Ultrasound Image

Liang, Xiaokun

• TransCT: Dual-path Transformer for Low Dose Computed Tomography

Liang, Xiaoyao

• Contrastive Learning Based Stain Normalization Across Multiple Tumor Histopathology

Liang, Yongsheng

• Learnable Oriented-Derivative Network for Polyp Segmentation

Liang, Yuan

• TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation

Liang, Zisheng

• Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline

Liao, Chun-Yu

• Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

Liao, Ruizhi

• Multimodal Representation Learning via Maximization of Local Mutual Information

Liao, Wenjun

• Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

Lichtman, Jeff

• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale
• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Liebschner, Michael A.K.

• Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning

Lim, Chwee Ming

• Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation

Lim, Jayeon

• hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries

Lin, Canfeng

• Automated Malaria Cells Detection from Blood Smears under Severe Class Imbalance via Importance-aware Balanced Group Softmax

Lin, Chihung

• Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images

Lin, Di

• Reciprocal Learning for Semi-supervised Segmentation

Lin, Gigin

• Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
• Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection

Lin, Guang

• Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading

Lin, Hongxiang

• Learning to Address Intra-segment Misclassification in Retinal Imaging
• Generalised Super Resolution for Quantitative MRI Using Self-Supervised Mixture of Experts

Lin, Huangjing

• OXnet: Deep Omni-supervised Thoracic Disease Detection from Chest X-rays
• Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images

Lin, Jie

• Multimodal Multitask Deep Learning for X-Ray Image Retrieval

Lin, Lanfen

• Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance
• Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
• 3D Graph-S2Net: Shape-Aware Self-Ensembling Network for Semi-Supervised Segmentation with Bilateral Graph Convolution

Lin, Li

• Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
• I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive constraining
• BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images

Lin, Tiancheng

• SSLP: Spatial Guided Self-supervised Learning on Pathological Images

Lin, Weili

• Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction
• Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation
• Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks
• Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep Learning
• A Deep Network for Joint Registration and Parcellation of Cortical Surfaces

Lin, Xin

• Generator Versus Segmentor: Pseudo-healthy Synthesis

Lin, Yen-Yu

• Stain Mix-up: Unsupervised Domain Generalization for Histopathology Images

Lin, Yi

• Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading
• Seg4Reg+: A Local and Global ConsistencyLearning between Spine Segmentation and CobbAngle Regression
• Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold
• A Hierarchical Feature Constraint to CamouflageMedical Adversarial Attacks

Lin, Zihao

• ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

Lin, Zudi

• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale
• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions
• Asymmetric 3D Context Fusion for Universal Lesion Detection

Linge, Annett

• Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer?

Liu, Bo

• Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images

Liu, Boyang

• Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration

Liu, Chen

• Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning

Liu, Cheng-Lin

• Region Ensemble Network for MCI Conversion Prediction With a Relation Regularized Loss

Liu, Chenghao

• Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects
• CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

Liu, Chi

• Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network
• Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth

Liu, Chunrui

• Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound

Liu, Dongnan

• LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting
• BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation

Liu, Feng

• Universal Undersampled MRI Reconstruction

Liu, Fengbei

• Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
• 3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training

Liu, Fenglin

• AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation

Liu, Fengze

• SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings

Liu, Hangfan

• Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds

Liu, Hanruo

• MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification
• Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification

Liu, Haofeng

• A Multi-Branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation

Liu, Heng

• Joint PVL Detection and Manual Ability Classification using Semi-Supervised Multi-task Learning

Liu, Hong

• Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images

Liu, Hongmei

• Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data

Liu, Huafeng

• Cardiac Transmembrane Potential Imaging with GCN Based Iterative Soft Threshold Network

Liu, Huidong

• Chest Radiograph Disentanglement for COVID-19 Outcome Prediction

Liu, Huiye

• TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

Liu, Jiameng

• Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint

Liu, Jiang

• Cross-domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography
• A Multi-Branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation

Liu, Jie

• Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation

Liu, Jing

• A Data-driven Approach for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging

Liu, Li

• USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning

Liu, Luyan

• Seg4Reg+: A Local and Global ConsistencyLearning between Spine Segmentation and CobbAngle Regression

Liu, Mengting

• Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization

Liu, Mianxin

• Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis

Liu, Mingxia

• Tensor-based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-state fMRI
• Cost-Sensitive Meta-Learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI

Liu, Mingzhou

• CA-Net: Leveraging Contextual Features for Lung Cancer Prediction

Liu, Minliang

• Distortion Energy for Deep Learning-based Volumetric Finite Element Mesh Generation for Aortic Valves

Liu, Peng

• Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata

Liu, Peter

• A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis

Liu, Qiegen

• Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework

Liu, Qin

• Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning
• A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning

Liu, Qiuping

• Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining

Liu, Quan

• SimTriplet: Simple Triplet Representation Learning with a Single GPU

Liu, Quande

• Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
• Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching

Liu, Sidong

• Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images

Liu, Siqi

• Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification

Liu, Sishuo

• Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation

Liu, Siyuan

• Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation

Liu, Tianming

• Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks
• Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder

Liu, Tianrui

• Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps

Liu, Tianyu

• Deep-Cleansing: Deep-learning based Electronic Cleansing in Dual-energy CT Colonography

Liu, Tongliang

• Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition

Liu, Wenjin

• Deep Open Snake Tracker for Vessel Tracing

Liu, Xianjing

• Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis

Liu, Xiao

• Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
• Controllable cardiac synthesis via disentangled anatomy arithmetic

Liu, Xiaofeng

• Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis
• Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation

Liu, Xiaoqing

• Generator Versus Segmentor: Pseudo-healthy Synthesis
• Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction

Liu, Xiaoyu

• Learning Neuron Stitching for Connectomics

Liu, Xiaozhao

• IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation

Liu, Xinwen

• Universal Undersampled MRI Reconstruction

Liu, Yan

• Dual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction

Liu, Yang

• ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

Liu, Yilin

• Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting

Liu, Yixun

• 3D Brain Midline Delineation for Hematoma Patients

Liu, Yong

• Partial-supervised Learning for Vessel Segmentation in Ocular Images
• Few-Shot Domain Adaptation with Polymorphic Transformers

Liu, Yonghuai

• Cross-domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography

Liu, Yueping

• Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information

Liu, Yunbi

• Cost-Sensitive Meta-Learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI

Liu, Yuqing

• MetaCon: Meta Contrastive Learning for Microsatellite Instability Detection

Liu, Zequan

• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Liu, Zewen

• MASC-Units: Training Oriented Filters for Segmenting Curvilinear Structures

Liu, Zhendong

• Style Curriculum Learning for Robust Medical Image Segmentation

Liu, Zhiwen

• Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations
• CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

Liu, Zihao

• Multi-level Relationship Capture Network for Automated Skin Lesion Recognition

Lo, Joseph Y.

• Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline

Lockhart, Lisette

• Automating Embryo Development Stage Detection in Time-Lapse Imaging with Synergic Loss and Temporal Learning

Logan, Kathryn

• Graph Transformers for Characterization and Interpretation of Surgical Margins

Lombaert, Herve

• SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images

Long, Yonghao

• Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer
• E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception

Lorenzi, Marco

• Phase-independent Latent Representation for Cardiac Shape Analysis

Losonczy, Attila

• Non-parametric vignetting correction for sparse spatial transcriptomics images

Lou, Jingjiao

• Confidence-aware Cascaded Network for Fetal Brain Segmentation on MR Images

Lou, Xin-Jie

• Multimodal MRI Acceleration via Deep Cascading Networks with Peer-layer-wise Dense Connections

Louis, Peter C.

• SimTriplet: Simple Triplet Representation Learning with a Single GPU

Lourentzou, Ismini

• AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray

Loza, Carlos A.

• Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modeling

Lu, Cheng

• LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis

Lu, Donghuan

• Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images
• Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation

Lu, Guangming

• Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading

Lu, Huchuan

• Automatic Polyp Segmentation via Multi-scale Subtraction Network

Lu, Huijuan

• Alleviating Data Imbalance Issue with Perturbed Input during Inference

Lu, Jiafeng

• Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline

Lu, Jingjing

• Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
• Perceptual Quality Assessment of Chest Radiograph
• Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection

Lu, Le

• Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
• Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
• Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images
• SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
• Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection
• Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings
• Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers
• DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Lu, Ming Y.

• Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks

Lu, Ran

• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Lu, Yue

• A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-domain Classification

Lu, Yuzhe

• SimTriplet: Simple Triplet Representation Learning with a Single GPU

Lu, Zhiyang

• Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images

Lu, Zhong-Lin

• Topological Receptive Field Model for Human Retinotopic Mapping

Lu, Zhongjie

• DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Luengo, Imanol

• Scalable joint detection and segmentation of surgical instruments with weak supervision
• Detection of critical structures in laparoscopic cholecystectomy using label relaxation and self-supervision

Lukyanenko, Stanislav

• Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field

Luna, Miguel

• Conditional GAN with an Attention-based Generator and a 3D Discriminator for 3D Medical Image Generation

Luo, Gongning

• Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries

Luo, Guibo

• Deep-Cleansing: Deep-learning based Electronic Cleansing in Dual-energy CT Colonography

Luo, Jianwen

• A Data-driven Approach for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging

Luo, Jie

• Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation
• Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose

Luo, Luyang

• OXnet: Deep Omni-supervised Thoracic Disease Detection from Chest X-rays
• Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images

Luo, Mingyuan

• Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction

Luo, Ping

• Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation
• Multi-Compound Transformer for Accurate Biomedical Image Segmentation

Luo, Shengda

• Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations

Luo, Xiangde

• Fully Test-time Adaptation for Image Segmentation
• Few-Shot Domain Adaptation with Polymorphic Transformers
• Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

Luo, Xiongbiao

• A Data-driven Approach for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging

Luo, Yanmei

• 3D Transformer-GAN for High-quality PET Reconstruction

Luo, Yongfang

• USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning

Luo, Zhiming

• Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation

Lustig, Michael

• Memory-efficient Learning for High-dimensional MRI Reconstruction

Lyu, Fei

• A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels

Lyu, Ilwoo

• From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics

Lyu, Junyan

• Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
• I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive constraining
• BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images

Lyu, Yuanyuan

• U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction
• Perceptual Quality Assessment of Chest Radiograph
• Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation

López Diez, Paula

• Facial and cochlear nerves characterization using deep reinforcement learning for landmark detection

López-Rodríguez, Domingo

• Rician noise estimation for 3D Magnetic Resonance Images based on Benford's Law

López-Rubio, Ezequiel

• Rician noise estimation for 3D Magnetic Resonance Images based on Benford's Law

Löck, Steffen

• Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer?

M.B.R. Vellasco, Marley

• Sharpening Local Interpretable Model-agnostic Explanations for Histopathology: Improved Understandability and Reliability

Ma, Andy J.

• A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels

Ma, Burton

• Quantitative Assessments for Ultrasound Probe Calibration

Ma, Jie

• Supervised Contrastive Pre-Training for Mammographic Triage Screening Models
• BI-RADS Classification of Calcification on Mammograms

Ma, Kai

• Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
• Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading
• Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views
• Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images
• Seg4Reg+: A Local and Global ConsistencyLearning between Spine Segmentation and CobbAngle Regression
• Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation
• MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification
• Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification
• InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction
• Deep Reinforcement Exemplar Learning for Annotation Refinement
• A Hierarchical Feature Constraint to CamouflageMedical Adversarial Attacks

Ma, Lei

• Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning
• A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning

Ma, Qiankun

• Coarse-to-fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy

Ma, Xinghua

• Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries

Ma, Yiting

• LDPolypVideo Benchmark: A Large-scale Colonoscopy Video Dataset of Diverse Polyps
• Depth Estimation for Colonoscopy Images with Self-supervised Learning from Videos

Machado-Rivas, Fedel

• Accurate parameter estimation in fetal diffusion-weighted MRI - learning from fetal and newborn data

Madabhushi, Anant

• SPARTA: An Integrated Stability, Discriminability, and Sparsity based Radiomic Feature Selection Approach
• LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis

Madsen, Dennis

• Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction

Maes, Frederik

• On the relationship between calibrated predictors and unbiased volume estimation

Mahapatra, Dwarikanath

• Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition

Mahdavi, S. Sara

• Rapid treatment planning for low-dose-rate prostate brachytherapy with TP-GAN

Mahmood, Faisal

• Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks

Mahnken, Andreas

• C-arm positioning for spinal standard projections in different intra-operative settings

Mai, Julia

• Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT

Mai, Siwei

• Few-shot Transfer Learning for Hereditary Retinal Diseases Recognition

Maier, Andreas

• SyNCCT: Synthetic Non-Contrast Images of the Brain from Single-Energy Computed Tomography Angiography
• Deep Iterative 2D/3D Registration
• Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery

Maier, Heiko

• A Line to Align: Deep Dynamic Time Warping for Retinal OCT Segmentation

Maier-Hein, Klaus H.

• nnDetection: A Self-configuring Method for Medical Object Detection
• Continuous-Time Deep Glioma Growth Models
• C-arm positioning for spinal standard projections in different intra-operative settings

Maier-Hein, Lena

• Task Fingerprinting for Meta Learning in Biomedical Image Analysis
• C-arm positioning for spinal standard projections in different intra-operative settings

Maiti, Piyush

• Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization

Makansi, Osama

• Fighting Class Imbalance with Contrastive Learning

Makled, Basiel

• Interhemispheric functional connectivity in the primary motor cortex distinguishes between training on a physical and a virtual surgical simulator

Makris, Nikos

• Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation

Malacrino, Stefano

• Early Detection of Liver Fibrosis Using Graph Convolutional Networks

Malaisrie, Chris

• Stochastic 4D Flow Vector-Field Signatures: A new approach for comprehensive 4D Flow MRI quantification

Manh, Van

• Style Curriculum Learning for Robust Medical Image Segmentation

Manjon, Jose V

• POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring

Manjunath, B.S.

• A computational geometry approach for modeling neuronal fiber pathways

Mansilla, Lucas

• Hybrid graph convolutional neural networks for anatomical segmentation

Mansour, Wejdene

• Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features

Mao, Yifan

• Alleviating Data Imbalance Issue with Perturbed Input during Inference

Mao, Yining

• A Location Constrained Dual-branch Network for Reliable Diagnosis of Jaw Tumors and Cysts

Mar, Victoria

• End-to-end Ugly Duckling Sign Detection for Melanoma Identification with Transformers

Marafioti, Andrés

• CataNet: Predicting remaining cataract surgery duration

Marchiori, Elena

• Multi-view analysis of unregistered medical images using cross-view transformers

Margeta, Jan

• Facial and cochlear nerves characterization using deep reinforcement learning for landmark detection

Marin, Riccardo

• Intra-operative Update of Boundary Conditions for Patient-specific Surgical Simulation

Marivani, Iman

• Interpretable deep learning for multimodal super-resolution of medical images

Markl, Michael

• Stochastic 4D Flow Vector-Field Signatures: A new approach for comprehensive 4D Flow MRI quantification

Marks, Jeffrey R.

• Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline

Marr, Carsten

• Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations

Marrakchi, Yassine

• Fighting Class Imbalance with Contrastive Learning

Martel, Anne L.

• AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases

Martinot, Sonia

• High-particle simulation of Monte-Carlo dose distribution with 3D ConvLSTMs

Martínez, César

• Orthogonal Ensemble Networks for Biomedical Image Segmentation

Massion, Pierre

• Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective

Matejek, Brian

• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Mateus, Diana

• Trainable summarization to improve breast tomosynthesis classification
• OLVA: Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation

Mathew, Shawn

• FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos

Matsuda, Tetsuya

• Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image

Matthew, Jacqueline

• Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps

Maza-Quiroga, Rosa

• Rician noise estimation for 3D Magnetic Resonance Images based on Benford's Law

McCarthy, Patrick

• Stochastic 4D Flow Vector-Field Signatures: A new approach for comprehensive 4D Flow MRI quantification

McDonald, Colm

• Contrastive Learning with Continuous Proxy Meta-Data For 3D MRI Classification

McKay, Gregory N.

• A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos

McKay, Raymond

• Distortion Energy for Deep Learning-based Volumetric Finite Element Mesh Generation for Aortic Valves

Mecca, Adam P.

• Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network

Meijering, Erik

• Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images

Melapudi, Vikram

• Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19

Melbourne, Andrew

• Labels-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation

Meng, Deyu

• Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
• Neighbor Matching for Semi-supervised Learning
• Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image
• InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction

Meng, Gang

• Instance-aware Feature Alignment for Cross-domain Cell Nuclei Detection in Histopathology Images

Meng, Max Q.-H.

• HRENet: A Hard Region Enhancement Network for Polyp Segmentation
• Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification

Meng, Rui

• Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study

Meng, Weiliang

• DC-Net: Dual Context Network for 2D Medical Image Segmentation

Meng, Yanda

• Learning Unsupervised Parameter-specific Affine Transformation for Medical Images Registration

Menze, Bjoern

• Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations

Merchant, Shaila

• Graph Transformers for Characterization and Interpretation of Surgical Margins

Messiou, Christina

• Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification

Metaxas, Dimitris N.

• UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
• Hybrid Supervision Learning for Whole Slide Image Classification

Mezheritsky, Tal

• Personalized Respiratory Motion Model Using Conditional Generative Networks for MR-Guided Radiotherapy

Mi, Shiyu

• MBFF-Net: Multi-Branch Feature Fusion Network for Carotid Plaque Segmentation in Ultrasound

Miao, Shun

• Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images

Milone, Diego

• Hybrid graph convolutional neural networks for anatomical segmentation

Milot, Laurent

• AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases

Missel, Ryan

• Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling

Miyamoto, Takuma

• 4D-Foot: A fully automated pipeline of four-dimensional analysis of the foot bones using bi-plane X-ray video and CT

Mizoe, Shuntaro

• 4D-Foot: A fully automated pipeline of four-dimensional analysis of the foot bones using bi-plane X-ray video and CT

Modat, Marc

• Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation

Mohammed, Ahmed

• Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy

Mohan, Chandra

• MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors

Mohareri, Omid

• Multi-View Surgical Video Action Detection via Mixed Global View Attention

Mok, Tony C. W.

• Conditional Deformable Image Registration with Convolutional Neural Network

Molina, Rafael

• Combining Attention-based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection

Monet, Frederic

• Multimodal Sensing Guidewire for C-arm Navigation with Random UV Enhanced Optical Sensors using Spatio-temporal Networks

Moon, Leo

• Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy

Moore, John

• DeepMitral: Fully Automatic 3D Echocardiography Segmentation for Patient Specific Mitral Valve Modelling

Moos, Katharina

• MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors

Moradi, Mehdi

• AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray

Morales, Xabier

• Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies

Morel-Forster, Andreas

• Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction

Mossa-Basha, Mahmud

• Deep Open Snake Tracker for Vessel Tracing

Mostofsky, Stewart

• A Matrix Auto-encoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes

Mousavi, Parvin

• Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels
• Graph Transformers for Characterization and Interpretation of Surgical Margins

Moyer, Daniel

• Multimodal Representation Learning via Maximization of Local Mutual Information
• Equivariant Filters for Efficient Tracking in 3D Imaging

Mu, Lide

• Cardiac Transmembrane Potential Imaging with GCN Based Iterative Soft Threshold Network

Mufti, Nada

• Labels-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation

Mukhopadhyay, Anirban

• Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation

Mullick, Rakesh

• Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19

Murray-Smith, Roderick

• Adversarial learning of cancer tissue representations

Musatian, Sabrina

• Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models

Myronenko, Andriy

• The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization for Medical Image Segmentation
• Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures
• Accounting for Dependencies in Deep Learning based Multiple Instance Learning for Whole Slide Imaging

Márquez Neila, Pablo

• CataNet: Predicting remaining cataract surgery duration

Müller, Henning

• Sharpening Local Interpretable Model-agnostic Explanations for Histopathology: Improved Understandability and Reliability

Nadeem, Saad

• FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos

Najdenkoska, Ivona

• Variational Topic Inference for Chest X-Ray Report Generation

Nakamura, Mitsuhiro

• Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image

Nakao, Megumi

• Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image

Nakao, Satoko

• 4D-Foot: A fully automated pipeline of four-dimensional analysis of the foot bones using bi-plane X-ray video and CT

Namburete, Ana I. L.

• TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations
• Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning

Napolitano, Raffaele

• AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes

Narayanan, Sai

• MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis

Nasrallah, Ilya

• Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds

Nath, Vishwesh

• The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization for Medical Image Segmentation

Navab, Nassir

• Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models
• Rethinking Ultrasound Augmentation: A Physics-Inspired Approach
• Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning
• OperA: Attention-Regularized Transformers for Surgical Phase Recognition
• Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
• GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference
• FedPerl: Semi-Supervised Peer Learning for Skin Lesion Classification
• Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
• Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data
• Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation
• Acoustic-based Spatio-temporal Learning for Press-fit Evaluation of Femoral Stem Implants
• A Line to Align: Deep Dynamic Time Warping for Retinal OCT Segmentation

Naval Marimont, Sergio

• Implicit field learning for unsupervised anomaly detection in medical images

Navolotskaia, Olga

• Prototypical models for classifying high-risk atypical breast lesions

Nebbia, Giacomo

• Radiomics-informed Deep Curriculum Learning for Breast Cancer Diagnosis

Nebel, Mary Beth

• A Matrix Auto-encoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes

Needleman, Daniel

• Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field

Nejad-Davarani, Siamak P.

• SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation

Neubauer, Stefan

• Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation

Neuberger, Ulf

• Continuous-Time Deep Glioma Growth Models

Ng, Andrew Y

• GloFlow: Whole Slide Image Stitching from Video using Optical Flow and Global Image Alignment

Ng, Chi Fai

• E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception

Ng, Teck Khim

• Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation

Ngo, Gia H.

• Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query

Nguyen, Anh

• Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images
• Multiple Meta-model Quantifying for Medical Visual Question Answering

Nguyen, Binh X.

• Multiple Meta-model Quantifying for Medical Visual Question Answering

Nguyen, Ha Q.

• VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs

Nguyen, Hien Van

• MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors

Nguyen, Hieu T.

• VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs

Nguyen, Minh

• Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query

Nguyen, Nghia T.

• VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs

Nguyen, Tam V.

• CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation

Nguyen, Tan

• Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
• 3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation

Nguyen, Tan-Cong

• CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation

Nguyen, Thanh D.

• Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction

Nguyen, Tien-Phat

• CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation

Ni, Bingbing

• RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
• Asymmetric 3D Context Fusion for Universal Lesion Detection

Ni, Dong

• Style Curriculum Learning for Robust Medical Image Segmentation
• Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
• Reciprocal Learning for Semi-supervised Segmentation
• Flip Learning: Erase to Segment

Ni, Zhen-Liang

• Vessel Width Estimation via Convolutional Regression

Nie, Yinyu

• Surgical Instruction Generation with Transformers

Niessen, Wiro

• Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis

Ning, Munan

• MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification

Nishimura, Kazuya

• Semi-supervised Cell Detection in Time-lapse Images Using Temporal Consistency
• Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap
• Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification

Niu, Chaoshi

• Joint Spinal Centerline Extraction and Curvature Estimation with Row-wise Classification and Curve Graph Network

Niu, Chuang

• Task-Oriented Low-Dose CT Image Denoising

Noble, J. Alison

• Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning using Landmark Retrieval

Noble, Jack H.

• Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks

Noga, Michelle

• TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection

Norajitra, Tobias

• C-arm positioning for spinal standard projections in different intra-operative settings

Norfleet, Jack

• Interhemispheric functional connectivity in the primary motor cortex distinguishes between training on a physical and a virtual surgical simulator

O'Dell, Ryan S.

• Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network

O'Donnell, Lauren J.

• Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation

O'Neil, Alison

• Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
• Controllable cardiac synthesis via disentangled anatomy arithmetic

O'Regan, Declan P.

• Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration
• Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation

Oberreuter, Johannes

• Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning

Odry, Benjamin L.

• Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images

Oguz, Ipek

• LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation

Oh, Daniel

• Multi-View Surgical Video Action Detection via Mixed Global View Attention

Oh, SeokHwan

• Learning-based attenuation quantification in abdominal ultrasound
• A Neural Framework for Multi-Variable Lesion Quantification Through B-mode Style Transfer

Okupnik, Alexander

• High-resolution segmentation of lumbar vertebrae from conventional thick slice MRI

Onofrey, John A.

• TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline

Ooi, Beng Chin

• Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation

Ostler, Daniel

• OperA: Attention-Regularized Transformers for Surgical Phase Recognition

Oswald, Martin R.

• A new Approach to Orthopedic Surgery Planning using Deep Reinforcement Learning and Simulation

Otake, Yoshito

• 4D-Foot: A fully automated pipeline of four-dimensional analysis of the foot bones using bi-plane X-ray video and CT

Ou, Ni

• CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

Ou, Yanglan

• LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images

Ourselin, Sébastien

• Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures
• Labels-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
• Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation

Ouyang, Cheng

• Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

Ouyang, Jiahong

• Self-Supervised Longitudinal Neighbourhood Embedding

Ouyang, Xi

• Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms
• Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning

Owen, David

• Detection of critical structures in laparoscopic cholecystectomy using label relaxation and self-supervision

Oza, Poojan

• Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

Pagnucco, Maurice

• Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images
• Learning with Noise: Mask-guided Attention Model for Weakly Supervised Nuclei Segmentation

Pak, Daniel H.

• Distortion Energy for Deep Learning-based Volumetric Finite Element Mesh Generation for Aortic Valves

Pal, Debashish

• Personalized CT Organ Dose Estimation from Scout Images

Palatnik de Sousa, Iam

• Sharpening Local Interpretable Model-agnostic Explanations for Histopathology: Improved Understandability and Reliability

Pan, Yongsheng

• Predicting Symptoms from Multiphasic MRI via Multi-Instance Attention Learning for Hepatocellular Carcinoma Grading
• Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks
• Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages

Pan, Zhufeng

• Hierarchical graph pathomic network for progression free survival prediction

Pandey, Ajay K.

• 3D Semantic Mapping from Arthroscopy using Out-of-distribution Pose and Depth and In-distribution Segmentation Training

Pang, Fengqian

• Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations

Pang, Guansong

• Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images

Paninski, Liam

• Non-parametric vignetting correction for sparse spatial transcriptomics images

Papadakis, Nicolas

• POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring

Papadopoulo, Theodore

• A spherical convolutional neural network for white matter structure imaging via diffusion MRI

Papageorghiou, Aris T.

• Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning using Landmark Retrieval

Papasavvas, Christoforos

• Local Morphological Measures Confirm that Folding within Small Partitions of the Human Cortex Follows Universal Scaling Law

Paragios, Nikos

• Weakly supervised pan-cancer segmentation tool
• High-particle simulation of Monte-Carlo dose distribution with 3D ConvLSTMs

Park, Bokyung

• hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries

Park, Gunwoong

• Covariate Correcting Networks for Identifying Associations between Socioeconomic Factors and Brain Outcomes in Children

Park, Inkyu

• Efficient neural network approximation of robust PCA for automated analysis of calcium imaging data

Park, Sang Hyun

• Conditional GAN with an Attention-based Generator and a 3D Discriminator for 3D Medical Image Generation

Park, SungHyun

• hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries

Parmar, Jupinder

• Observational Supervision for Medical Image Classification using Gaze Data

Parvatikar, Akash

• Prototypical models for classifying high-risk atypical breast lesions

Paschali, Magdalini

• Rethinking Ultrasound Augmentation: A Physics-Inspired Approach
• OperA: Attention-Regularized Transformers for Surgical Phase Recognition
• Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs

Patel, Bhavik

• Personalized CT Organ Dose Estimation from Scout Images

Patel, Vishal M.

• Over-and-Under Complete Convolutional RNN for MRI Reconstruction
• Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

Pati, Pushpak

• Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs

Patibandla, Sai

• MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors

Patou, François

• Facial and cochlear nerves characterization using deep reinforcement learning for landmark detection

Patra, Arijit

• Parallel Capsule Networks for Classification of White Blood Cells

Pattiam Giriprakash, Pavithran

• SPARTA: An Integrated Stability, Discriminability, and Sparsity based Radiomic Feature Selection Approach

Paulsen, Rasmus Reinhold

• Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies
• Facial and cochlear nerves characterization using deep reinforcement learning for landmark detection

Pawar, Jayashri

• Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images

Peacock, Michael D.

• Rapid treatment planning for low-dose-rate prostate brachytherapy with TP-GAN

Pedersen, Marius

• Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy

Pedersoli, Marco

• Context-aware virtual adversarial training for anatomically-plausible segmenation

Pedrosa, João

• Interactive segmentation via deep learning and B-spline explicit active surfaces

Peebles, Donald M.

• AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes

Peeken, Jan C.

• Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer?

Pei, Hanqi

• 3D Brain Midline Delineation for Hematoma Patients

Pei, Yuchen

• Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network
• Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep Learning

Pei, Yuru

• Spectral Embedding Approximation and Descriptor Learning for Craniofacial Volumetric Image Correspondence
• Learning Dual Transformer Network for Diffeomorphic Registration

Peiris, Himashi

• Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation

Peng, Cheng

• U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction
• DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images

Peng, Chengtao

• Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting

Peng, Jizong

• Context-aware virtual adversarial training for anatomically-plausible segmenation

Peng, Ling

• DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Peng, Liying

• Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting

Peng, Sixiang

• Deep Reinforcement Exemplar Learning for Annotation Refinement

Peng, Tingying

• Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations
• MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures

Peng, Xingchen

• Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy

Peng, Yuanyuan

• High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction

Peng, Zhiyi

• Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting

Perez, Juan C.

• Towards Robust General Medical Image Segmentation

Peri-Hanania, Keren

• Learned super resolution ultrasound for improved breast lesion characterization

Peters, Dana C.

• TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline

Peters, Jorg

• Improving hexahedral-FEM-based plasticity in surgery simulation

Peters, Terry M.

• Quantitative Assessments for Ultrasound Probe Calibration
• DeepMitral: Fully Automatic 3D Echocardiography Segmentation for Patient Specific Mitral Valve Modelling

Petersen, Jens

• Continuous-Time Deep Glioma Growth Models

Petersen, Steffen E.

• Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation

Peterson, Alexis M

• Non-parametric vignetting correction for sparse spatial transcriptomics images

Petkova, Mariela D.

• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Pezzotti, Nicola

• Learning to Predict Error for MRI Reconstruction

Pfefferbaum, Adolf

• Self-Supervised Longitudinal Neighbourhood Embedding

Pfeiffer, Micha

• Intra-operative Update of Boundary Conditions for Patient-specific Surgical Simulation

Pfister, Hanspeter

• RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale
• Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions
• Asymmetric 3D Context Fusion for Universal Lesion Detection

Pham, Hieu H.

• VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs

Phatak, Tej

• Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction
• Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms

Phillips, Mary

• Contrastive Learning with Continuous Proxy Meta-Data For 3D MRI Classification

Piccinelli, Marco

• Intra-operative Update of Boundary Conditions for Patient-specific Surgical Simulation

Piechnik, Stefan K.

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Ruijsink, Bram

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Rush, Alexander

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Rühling, Sebastian

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Saab, Khaled

• Observational Supervision for Medical Image Classification using Gaze Data

Sabuncu, Mert R.

• Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query
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Sadri, Amir Reza

• SPARTA: An Integrated Stability, Discriminability, and Sparsity based Radiomic Feature Selection Approach

Saeedi, Parvaneh

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Saga, Ryosuke

• A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging

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Sakamoto, Yasukazu

• A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging

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Salas, Jorge A.

• From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics

Salcudean, Septimiu E.

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Sang, Yudi

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Santilli, Alice

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Sao, Anil K.

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Sarno, Ian G

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Sato, Yoshinobu

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Shen, Li

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Shi, Yonggang

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Shi, Zhongchao

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Shimizu, Katsuhiko

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Shin, Changyeop

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Shin, Seon Ho

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Shirokikh, Boris

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Shriram, K S

• Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19

Shu, Yucheng

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Siebenrock, Klaus

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Simpson, Amber L.

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Simson, Walter

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Sinclair, Matthew

• Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps

Singh, Gagandeep

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Sinha, Ayushi

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Sinusas, Albert J.

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Slator, Paddy J.

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Soerensen, Simon J. C.

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Sohoni, Nimit S.

• Observational Supervision for Medical Image Classification using Gaze Data

Sojoudi, Samira

• Training Deep Networks for Prostate Cancer Diagnosis Using Coarse Histopathological Labels

Soleymani Baghshah, Mahdieh

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Sonn, Geoffrey A.

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Soulez, Gilles

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Sovatzidi, Georgia

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Sowmya, Arcot

• Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images

Spadinger, Ingrid T.

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Sparks, Rachel

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Speidel, Stefanie

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Spincemaille, Pascal

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• Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution

Stoll, Victoria

• Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration

Stollenga, Marijn

• Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation

Stone, Maureen

• Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis

Stoyanov, Danail

• Scalable joint detection and segmentation of surgical instruments with weak supervision
• Detection of critical structures in laparoscopic cholecystectomy using label relaxation and self-supervision
• AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes

Struyven, Robbert

• Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field

Stumpe, Martin C.

• Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data

Su, Dingjie

• Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks

Su, Lei

• Instance-aware Feature Alignment for Cross-domain Cell Nuclei Detection in Histopathology Images

Subhedar, Preeti

• Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains

Suehiro, Daiki

• Cell Detection from Imperfect Annotation by Pseudo Label Selection Using P-classification

Suh, Sungho

• Sequential Lung Nodule Synthesis using Attribute-guided Generative Adversarial Networks

Suhami, Dror

• Learned super resolution ultrasound for improved breast lesion characterization

Sui, Jing

• Tensor-based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-state fMRI

Sui, Xiuchao

• Few-Shot Domain Adaptation with Polymorphic Transformers

Sui, Yao

• MRI Super-Resolution Through Generative Degradation Learning

Suk, Heung-Il

• Meta-Modulation Network for Domain Generalization in Multi-site fMRI Classification
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Sullivan, Edith V

• Self-Supervised Longitudinal Neighbourhood Embedding

Suman, Sudhir

• Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms

Sumkin, Jules H.

• Radiomics-informed Deep Curriculum Learning for Breast Cancer Diagnosis

Summers, Ronald M.

• Unsupervised Domain Adaptation for Small Bowel Segmentation using Disentangled Representation
• RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting

Sun, Bin

• LDPolypVideo Benchmark: A Large-scale Colonoscopy Video Dataset of Diverse Polyps
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Sun, Cheng

• Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

Sun, Diya

• Spectral Embedding Approximation and Descriptor Learning for Craniofacial Volumetric Image Correspondence

Sun, Dong

• Reciprocal Learning for Semi-supervised Segmentation

Sun, Huaiqiang

• Dual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction

Sun, Jian

• A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation

Sun, Jiayuan

• Refined Local-imbalance-based Weight for Airway Segmentation in CT

Sun, Jinghan

• Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification

Sun, Liyan

• Generator Versus Segmentor: Pseudo-healthy Synthesis
• Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction

Sun, Roger

• Weakly supervised pan-cancer segmentation tool

Sun, Shanhui

• Multi-scale Neural ODEs for 3D Medical Image Registration

Sun, Shuwen

• Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining

Sun, Wei

• Distortion Energy for Deep Learning-based Volumetric Finite Element Mesh Generation for Aortic Valves

Sun, Xiaoyan

• Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation

Sun, Xinwei

• DAE-GCN: Identifying Disease-Related Features for Disease Prediction
• CA-Net: Leveraging Contextual Features for Lung Cancer Prediction

Sun, Yue

• Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep Learning

Sun, Yuhang

• Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint

Sun, Zhiyong

• Joint Spinal Centerline Extraction and Curvature Estimation with Row-wise Classification and Curve Graph Network

Sundgaard, Josefine Vilsbøll

• Facial and cochlear nerves characterization using deep reinforcement learning for landmark detection

Sunhem, Wisuwat

• Adversarial learning of cancer tissue representations

Suter, Daniel

• Acoustic-based Spatio-temporal Learning for Press-fit Evaluation of Femoral Stem Implants

Sutter, Reto

• High-resolution segmentation of lumbar vertebrae from conventional thick slice MRI

Svecic, Andrei

• Multimodal Sensing Guidewire for C-arm Navigation with Random UV Enhanced Optical Sensors using Spatio-temporal Networks

Swartman, Benedict

• Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery

Swiston, Albert

• Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning

Syeda-Mahmood, Tanveer

• Image-derived phenotype extraction for genetic discovery via unsupervised deep learning in CMR images

Szabo, Daniel Attila

• Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19

Sznitman, Raphael

• CataNet: Predicting remaining cataract surgery duration

Sève-d’Erceville, Callyane

• Image-based Incision Detection for Topological Intraoperative 3D Model Update in Augmented Reality Assisted Laparoscopic Surgery

Ta, Duyan

• Topological Receptive Field Model for Human Retinotopic Mapping

Ta, Kevinminh

• Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography

Ta, Vinh-Thong

• POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring

Tagliabue, Eleonora

• Intra-operative Update of Boundary Conditions for Patient-specific Surgical Simulation

Tai, Dar‐In

• Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings

Tajini, Badr

• Functional Magnetic Resonance Imaging data augmentation through conditional ICA

Tam, Leo

• Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports

Tamir, Jonathan I.

• Memory-efficient Learning for High-dimensional MRI Reconstruction
• Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization

Tan, Jeremy

• Detecting Outliers with Poisson Image Interpolation
• Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps

Tan, Mingkui

• Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition

Tan, Shuai

• Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy

Tan, Tao

• Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19

Tan, Zhijun

• Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data

Tan, Zimeng

• SGNet: Structure-aware Graph-based Network for Airway Semantic Segmentation

Tanaka, Kiyohito

• Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels

Tanaka, Yasuhito

• 4D-Foot: A fully automated pipeline of four-dimensional analysis of the foot bones using bi-plane X-ray video and CT

Tang, Pin

• Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy

Tang, Wen

• M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19

Tang, Xiaoying

• Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
• I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive constraining
• BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images

Tang, Youbao

• Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
• Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
• Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection

Tang, Yucheng

• Pancreas CT Segmentation by Predictive Phenotyping
• Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective

Tang, Yuxing

• Supervised Contrastive Pre-Training for Mammographic Triage Screening Models
• BI-RADS Classification of Calcification on Mammograms

Tang, Zihao

• LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting

Tannast, Moritz

• Semantic Consistent Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation

Tanno, Ryutaro

• A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging

Tao, Rong

• Spine-Transformers: Vertebra Detection and Localization in Arbitrary Field-of-View Spine CT with Transformers

Tao, Yuankai K.

• LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation

Tardy, Mickael

• Trainable summarization to improve breast tomosynthesis classification

Tarroni, Giacomo

• Implicit field learning for unsupervised anomaly detection in medical images

Taschwer, Mario

• LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos

Taubmann, Oliver

• SyNCCT: Synthetic Non-Contrast Images of the Brain from Single-Energy Computed Tomography Angiography

Tavakkoli, Alireza

• RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network

Taylor, Russell H.

• E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception

Taylor-Cho, Michael

• Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline

Tchen, Stephen

• A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging

Tegzes, Pal

• Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-Ray for COVID19

Teodoro, George

• Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains

Tewfik, Ahmed H.

• Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization

Thamm, Florian

• SyNCCT: Synthetic Non-Contrast Images of the Brain from Single-Energy Computed Tomography Angiography

Thermos, Spyridon

• Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
• Controllable cardiac synthesis via disentangled anatomy arithmetic

Thiran, Jean-Philippe

• Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs

Thirion, Bertrand

• Functional Magnetic Resonance Imaging data augmentation through conditional ICA

Thomas, Sarina

• C-arm positioning for spinal standard projections in different intra-operative settings

Thomopoulos, Sophia

• Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization

Thompson, Paul

• Disentangled and Proportional Representation Learning for Multi-View Brain Connectomes

Thorley, Alexander

• Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration

Thorn, Stephanie

• Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography

Thung, Kim-Han

• Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation

Thurnhofer-Hemsi, Karl

• Rician noise estimation for 3D Magnetic Resonance Images based on Benford's Law

Tian, Jiang

• Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
• ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

Tian, Yonghong

• Learnable Oriented-Derivative Network for Polyp Segmentation

Tian, Yu

• Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images

Tilmant, Christophe

• Using Multiple Images and Contours for Deformable 3D-2D Registration of a Preoperative CT in Laparoscopic Liver Surgery

Ting, Daniel S. W.

• Partial-supervised Learning for Vessel Segmentation in Ocular Images
• Few-Shot Domain Adaptation with Polymorphic Transformers

Tirindelli, Maria

• Rethinking Ultrasound Augmentation: A Physics-Inspired Approach

Tizhoosh, Hamid R.

• Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images

Tjiputra, Erman

• Multiple Meta-model Quantifying for Medical Visual Question Answering

To, Minh-Son

• Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging

Toikkanen, Miika

• ReSGAN: Intracranial Hemorrhage Segmentation with Residuals of Synthetic Brain CT Scans

Toloubidokhti, Maryam

• Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling

Tomar, Devavrat

• Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images

Tombari, Federico

• Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation

Tong, Fei

• Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image

Tong, Ruofeng

• Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance
• Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
• 3D Graph-S2Net: Shape-Aware Self-Ensembling Network for Semi-Supervised Segmentation with Bilateral Graph Convolution

Tong, Yao

• Multi-view analysis of unregistered medical images using cross-view transformers

Tosun, Akif Burak

• Prototypical models for classifying high-risk atypical breast lesions

Tran, Minh

• Multiple Meta-model Quantifying for Medical Visual Question Answering

Tran, Minh-Triet

• CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation

Tran, Quang D.

• Multiple Meta-model Quantifying for Medical Visual Question Answering

Tran-Dinh, Anh-Huy

• CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation

Triantafillou, Sofia

• Using Causal Analysis for Conceptual Deep Learning Explanation

Troost, Esther G. C.

• Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer?

Tsaftaris, Sotirios A.

• Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
• Controllable cardiac synthesis via disentangled anatomy arithmetic

Tsai, Chialing

• A Topological-Attention ConvLSTM Network and Its Application to EM Images

Tsiligianni, Evaggelia

• Interpretable deep learning for multimodal super-resolution of medical images

Tsirigos, Aristotelis

• Adversarial learning of cancer tissue representations

Tsirikoglou, Apostolia

• Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection

Tu, Huawei

• Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network

Tu, Yanshuai

• Topological Receptive Field Model for Human Retinotopic Mapping

Tuch, David

• Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images

Tunariu, Nina

• Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification

Turella, Federico

• High-resolution segmentation of lumbar vertebrae from conventional thick slice MRI

Turkbey, Baris

• Cross-modal Attention for MRI and Ultrasound Volume Registration

Turkbey, Evrim

• Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports

Uchida, Seiichi

• Order-Guided Disentangled Representation Learning for Ulcerative Colitis Classification with Limited Labels

Unberath, Mathias

• E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception
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Unger, Jonas

• Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection

Upadhyay, Uddeshya

• Uncertainty-Guided Progressive GANs for Medical Image Translation

Uram, Thomas

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Vaidya, Pranjal

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Vakalopoulou, Maria

• Weakly supervised pan-cancer segmentation tool
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Valeriano Quiroz, Icxel

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Van Dyck, Christopher H.

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Vandermeulen, Dirk

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Varble, Nicole

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Varma, Sonal

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Varol, Erdem

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Vasconcelos, Francisco

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Vasung, Lana

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Venkatesan, Ramesh

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Vercauteren, Tom

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Verde, Juan

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Verjans, Johan W.

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Vernhet, Paul

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Vetter, Sven

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Vidmark, Jessica S. L.

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Vigueras-Guillén, Juan P.

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Voiculescu, Irina

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Vyas, Kunal

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Vázquez Romaguera, Liset

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Wallace, Stephen

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Wallis, Julie

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Wan, Peng

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Wan, Shang

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Wan, Xiang

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Wang, Adam

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Wang, Alan Q.

• Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy

Wang, Beizhan

• Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation

Wang, Ce

• Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation

Wang, Changmiao

• Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference

Wang, Changwei

• DC-Net: Dual Context Network for 2D Medical Image Segmentation

Wang, Chaoli

• kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation
• Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation

Wang, Chengyan

• Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics

Wang, Chenyu

• LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting

Wang, Chunbao

• Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
• Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image

Wang, Churan

• DAE-GCN: Identifying Disease-Related Features for Disease Prediction

Wang, Dong

• Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations

Wang, Fakai

• Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images

Wang, Fu-En

• Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

Wang, Fusheng

• Spatial Attention-based Deep Learning System for Breast Cancer Pathological Complete Response Prediction with Serial Histopathology Images in Multiple Stains

Wang, Ge

• Task-Oriented Low-Dose CT Image Denoising
• Cross-modal Attention for MRI and Ultrasound Volume Registration

Wang, Guotai

• Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency
• Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation
• Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images
• Comprehensive Importance-based Selective Regularization for Continual Segmentation Across Multiple Sites

Wang, Haifeng

• Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework

Wang, Haitao

• Integration of Patch Features through Self-Supervised Learning and Transformer for Survival Analysis on Whole Slide Images

Wang, Hao

• Medical Image Registration Based on Uncoupled Learning and Accumulative Enhancement

Wang, He

• Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics

Wang, Hong

• InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction

Wang, Hongxiao

• Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation

Wang, Hongyi

• Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance

Wang, Huijie

• Multi-Compound Transformer for Accurate Biomedical Image Segmentation

Wang, James Z.

• LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images

Wang, Jeffrey B.

• Weakly Supervised Registration of Prostate MRI and Histopathology Images

Wang, Jiacheng

• Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video
• Boundary-aware Transformers for Skin Lesion Segmentation

Wang, Jian

• Flip Learning: Erase to Segment
• Deep Iterative 2D/3D Registration
• Bayesian Atlas Building with Hierarchical Priors for Subject-specific Regularization

Wang, Jianing

• Atlas-Based Segmentation of Intracochlear Anatomy in Metal Artifact Affected CT Images of the Ear with Co-trained Deep Neural Networks

Wang, Jing

• Universal Undersampled MRI Reconstruction

Wang, Jingyi

• EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography

Wang, Juan

• Bounding Box Tightness Prior for Weakly Supervised Image Segmentation

Wang, Jun

• Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images
• GQ-GCN: Group Quadratic Graph Convolutional Network for Classification of Histopathological Images

Wang, Kai

• Automatic Severity Rating for Improved Psoriasis Treatment

Wang, Kaiping

• Tripled-uncertainty Guided Mean Teacher model for Semi-supervised Medical Image Segmentation

Wang, Kang

• Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
• From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks

Wang, Ke

• Residual Feedback Network for Breast Lesion Segmentation in Ultrasound Image
• Memory-efficient Learning for High-dimensional MRI Reconstruction

Wang, Kexin

• Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics

Wang, Kuanquan

• Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries

Wang, Li

• Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction
• Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network
• Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks
• Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep Learning
• A Deep Network for Joint Registration and Parcellation of Cortical Surfaces

Wang, Liansheng

• Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
• Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images
• Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information
• Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video
• DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image
• Boundary-aware Transformers for Skin Lesion Segmentation

Wang, Lianyu

• High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction

Wang, Lin

• Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition
• Medical Matting: A New Perspective on Medical Segmentation with Uncertainty

Wang, Linlin

• Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network
• Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction

Wang, Linwei

• Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling

Wang, Lisheng

• Neighbor Matching for Semi-supervised Learning
• Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network

Wang, Liwei

• Weakly-Supervised Ultrasound Video Segmentation with Minimal Annotations

Wang, Meng

• High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction

Wang, Minghui

• TransPath: Transformer-based Self-supervised Learning for Histopathological Image Classification
• Instance-aware Feature Alignment for Cross-domain Cell Nuclei Detection in Histopathology Images

Wang, Ping

• Context-aware virtual adversarial training for anatomically-plausible segmenation

Wang, Puyang

• Over-and-Under Complete Convolutional RNN for MRI Reconstruction

Wang, Qian

• Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms

Wang, Qin

• Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment

Wang, Renzhen

• Neighbor Matching for Semi-supervised Learning

Wang, Renzhi

• 3D Brain Midline Delineation for Hematoma Patients

Wang, Rongguang

• Harmonization with Flow-based Causal Inference

Wang, Rui

• Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network

Wang, Ruixuan

• Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data
• Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
• Alleviating Data Imbalance Issue with Perturbed Input during Inference

Wang, Ruoqi

• Integration of Patch Features through Self-Supervised Learning and Transformer for Survival Analysis on Whole Slide Images

Wang, Sen

• Personalized CT Organ Dose Estimation from Scout Images

Wang, Shanshan

• Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework
• Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
• A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images

Wang, Sheng

• Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning

Wang, Shuo

• Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics
• Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation

Wang, Song

• CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Chamber Segmentation

Wang, Tao

• Dual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction

Wang, Tianchen

• EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis

Wang, Ting

• High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction

Wang, Tingting

• High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction

Wang, Victor

• MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors

Wang, Wei

• Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries

Wang, Weiwen

• MetaCon: Meta Contrastive Learning for Microsatellite Instability Detection

Wang, Wenji

• A Deep Reinforced Tree-traversal Agent for Coronary Artery Centerline Extraction

Wang, Wenping

• VertNet: Accurate Vertebra Localization and Identification Network from CT Images

Wang, Wenxuan

• TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

Wang, Xiaoning

• Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata
• 3D Brain Midline Delineation for Hematoma Patients

Wang, Xiaosong

• Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports
• Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures

Wang, Xin

• Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition
• Medical Matting: A New Perspective on Medical Segmentation with Uncertainty

Wang, Xinyi

• BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation

Wang, Xiyue

• TransPath: Transformer-based Self-supervised Learning for Histopathological Image Classification

Wang, Xueying

• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale
• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Wang, Ya

• Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network
• Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep Learning

Wang, Yalin

• Topological Receptive Field Model for Human Retinotopic Mapping

Wang, Yan

• Tripled-uncertainty Guided Mean Teacher model for Semi-supervised Medical Image Segmentation
• Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy
• Coarse-to-fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy
• 3D Transformer-GAN for High-quality PET Reconstruction

Wang, Yanfeng

• SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation

Wang, Yanping

• Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading

Wang, Yi

• Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction
• Reciprocal Learning for Semi-supervised Segmentation

Wang, Yin-Chih Chelsea

• DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision

Wang, Yirui

• Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images

Wang, Yixin

• Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation
• ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

Wang, Yizhou

• Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non–Contrast CT Images
• DAE-GCN: Identifying Disease-Related Features for Disease Prediction
• CA-Net: Leveraging Contextual Features for Lung Cancer Prediction

Wang, Yu-Chiang Frank

• Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

Wang, Yuhan

• Vessel Width Estimation via Convolutional Regression

Wang, Yujiang

• Local Morphological Measures Confirm that Folding within Small Partitions of the Human Cortex Follows Universal Scaling Law

Wang, Zhepeng

• Federated Contrastive Learning for Volumetric Medical Image Segmentation

Wang, Zhi

• Instance-aware Feature Alignment for Cross-domain Cell Nuclei Detection in Histopathology Images

Wang, Zhiwei

• Towards Robust Dual-view Transformation via Densifying Sparse Supervision for Mammography Lesion Matching

Wang, Zhonghua

• BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images

Wang, Zichen

• Hierarchical graph pathomic network for progression free survival prediction

Wang, Zuhui

• Annotation-efficient Cell Counting

Ware, Jeffrey

• Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds

Warfield, Simon K.

• MRI Super-Resolution Through Generative Degradation Learning

Watanabe, Kazuhide

• Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position Heatmap

Wedlake, Linda

• Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification

Wei, Dong

• Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
• Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading
• Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views
• Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images

Wei, Donglai

• RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale
• Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Wei, Dongming

• Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint

Wei, Hongjiang

• IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation

Wei, Jia

• TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation

Wei, Jie

• Predicting Symptoms from Multiphasic MRI via Multi-Instance Attention Learning for Hepatocellular Carcinoma Grading
• Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks
• Confidence-aware Cascaded Network for Fetal Brain Segmentation on MR Images

Wei, Jun

• Shallow Attention Network for Polyp Segmentation

Wei, Lan

• Boundary-aware Transformers for Skin Lesion Segmentation

Wei, Yi

• Towards a non-invasive diagnosis of portal hypertension based on an Eulerian CFD model with diffuse boundary conditions

Wei, Yiran

• Quantifying structural connectivity in brain tumor patients

Wei, Zeqiang

• Energy-Based Supervised Hashing for Multimorbidity Image Retrieval

Wei, Zhanghong

• MBFF-Net: Multi-Branch Feature Fusion Network for Carotid Plaque Segmentation in Ultrasound

Wein, Wolfgang

• Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation

Weinberg, Seth M.

• Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling

Welling, Max

• Learning to Predict Error for MRI Reconstruction

Wells, William M.

• Multimodal Representation Learning via Maximization of Local Mutual Information
• Equivariant Filters for Efficient Tracking in 3D Imaging

Wen, Ying

• A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-domain Classification

Wen, Zhenkun

• Automated Malaria Cells Detection from Blood Smears under Severe Class Imbalance via Importance-aware Balanced Group Softmax

Wendler, Thomas

• Patient-specific virtual spine straightening and vertebra inpainting: An automatic framework for osteoplasty planning
• Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs

Wendt, Nils

• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Wessa, Michele

• Contrastive Learning with Continuous Proxy Meta-Data For 3D MRI Classification

Wheless, Lee E.

• SimTriplet: Simple Triplet Representation Learning with a Single GPU

Wick, Wolfgang

• Continuous-Time Deep Glioma Growth Models

Wieland, Matthias

• A new Approach to Orthopedic Surgery Planning using Deep Reinforcement Learning and Simulation

Wiestler, Benedikt

• Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations

Wildner, Christian

• Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy

Williams, Helena

• Interactive segmentation via deep learning and B-spline explicit active surfaces

Williams, Rachel

• Learning Unsupervised Parameter-specific Affine Transformation for Medical Images Registration

Williamson, Drew F. K.

• Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks

Willis, Caleb

• Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data

Windsor, Rhydian

• Self-Supervised Multi-Modal Alignment For Whole Body Medical Imaging

Winzeck, Stefan

• Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification

Wojciechowska, Marta

• Early Detection of Liver Fibrosis Using Graph Convolutional Networks

Wolf, Sebastian

• CataNet: Predicting remaining cataract surgery duration

Wolf, Tom Nuno

• Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform

Wolvius, Eppo

• Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis

Wong, Kelvin

• LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images

Wong, Stephen T. C.

• LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images

Woo, Jonghye

• Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis
• Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation

Wood, Bradford J.

• End-to-end Ultrasound Frame to Volume Registration
• Determination of error in 3D CT to 2D fluoroscopy image registration for endobronchial guidance
• Cross-modal Attention for MRI and Ultrasound Volume Registration

Worring, Marcel

• Variational Topic Inference for Chest X-Ray Report Generation

Wu, Dijia

• VertNet: Accurate Vertebra Localization and Identification Network from CT Images
• Predicting Symptoms from Multiphasic MRI via Multi-Instance Attention Learning for Hepatocellular Carcinoma Grading

Wu, Enhua

• Towards a non-invasive diagnosis of portal hypertension based on an Eulerian CFD model with diffuse boundary conditions

Wu, Feng

• Learning Neuron Stitching for Connectomics

Wu, Guorong

• Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study
• Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold

Wu, Hejun

• Integration of Patch Features through Self-Supervised Learning and Transformer for Survival Analysis on Whole Slide Images

Wu, Huisi

• Automated Malaria Cells Detection from Blood Smears under Severe Class Imbalance via Importance-aware Balanced Group Softmax

Wu, Ji

• Distilling effective supervision for robust medical image segmentation with noisy labels

Wu, Jia

• Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms

Wu, Jialun

• Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
• Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image

Wu, Jie Ying

• An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma

Wu, Jiewei

• BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images

Wu, Jiong

• BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images

Wu, Joy T.

• AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray

Wu, Lingyun

• Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation
• Multi-Compound Transformer for Accurate Biomedical Image Segmentation

Wu, Min-Sheng

• Stain Mix-up: Unsupervised Domain Generalization for Histopathology Images

Wu, Qing

• IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation

Wu, Rong

• Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation

Wu, Sen

• Observational Supervision for Medical Image Classification using Gaze Data

Wu, Shandong

• Radiomics-informed Deep Curriculum Learning for Breast Cancer Diagnosis
• Disentangled and Proportional Representation Learning for Multi-View Brain Connectomes

Wu, Siqi

• Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation

Wu, Tong

• Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-specific Pruning

Wu, Xi

• Tripled-uncertainty Guided Mean Teacher model for Semi-supervised Medical Image Segmentation
• Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy
• Coarse-to-fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy
• 3D Transformer-GAN for High-quality PET Reconstruction

Wu, Xian

• Automatic Severity Rating for Improved Psoriasis Treatment
• AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation

Wu, Xiao-Ming

• Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images

Wu, Xingwang

• Perceptual Quality Assessment of Chest Radiograph

Wu, Yawen

• Positional Contrastive Learning for Volumetric Medical Image Segmentation
• Federated Contrastive Learning for Volumetric Medical Image Segmentation

Wu, Ye

• Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates
• Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters
• Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning
• Active Cortex Tractography

Wu, Yichen

• Neighbor Matching for Semi-supervised Learning

Wu, Yicheng

• Semi-supervised Left Atrium Segmentation with Mutual Consistency Training

Wu, Yuelong

• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Wu, Yunan

• Combining Attention-based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection

Wu, Zhengwang

• Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction
• Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network
• Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks
• Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep Learning
• A Deep Network for Joint Registration and Parcellation of Cortical Surfaces

Wyburd, Madeleine K.

• TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations

Xia, Bin

• Bounding Box Tightness Prior for Weakly Supervised Image Segmentation

Xia, James J.

• DLLNet: An Attention-based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models
• Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning
• A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning

Xia, Qing

• A Deep Reinforced Tree-traversal Agent for Coronary Artery Centerline Extraction

Xia, Shunren

• Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks
• A Deep Network for Joint Registration and Parcellation of Cortical Surfaces

Xia, Wenjun

• Dual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction

Xia, Yan

• A Deep Discontinuity-Preserving Image Registration Network

Xia, Yingda

• Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers

Xia, Yong

• Predicting Symptoms from Multiphasic MRI via Multi-Instance Attention Learning for Hepatocellular Carcinoma Grading
• CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
• Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks
• Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages

Xian, Junlin

• Towards Robust Dual-view Transformation via Densifying Sparse Supervision for Mammography Lesion Matching

Xiang, Li

• Colorectal Polyp Classification from White-light Colonoscopy Images via Domain Alignment

Xiang, Tiange

• BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation

Xiao, Bin

• Medical Image Registration Based on Uncoupled Learning and Accumulative Enhancement

Xiao, Deqiang

• DLLNet: An Attention-based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models
• Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning
• A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning

Xiao, Jianghong

• Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy

Xiao, Jing

• Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
• Supervised Contrastive Pre-Training for Mammographic Triage Screening Models
• Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
• Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images
• SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
• Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection
• Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings
• Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers
• DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search
• BI-RADS Classification of Calcification on Mammograms

Xiao, Li

• You Only Learn Once: Universal Anatomical Landmark Detection
• One-Shot Medical Landmark Detection

Xiao, Rudan

• Renal Cell Carcinoma Classification from Vascular Morphology

Xiao, Shifu

• Cost-Sensitive Meta-Learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI

Xiao, Ting

• Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata

Xiao, Xiaojiao

• mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network

Xie, Dong

• Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
• From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks

Xie, Fangfang

• Refined Local-imbalance-based Weight for Airway Segmentation in CT

Xie, Guotong

• Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
• Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images
• SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
• Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection
• Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings
• Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers
• DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Xie, Jianyang

• Cross-domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography

Xie, Weidi

• Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning

Xie, Xiaoliang

• Vessel Width Estimation via Convolutional Regression

Xie, Xiaoxia

• AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation

Xie, Yutong

• CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

Xing, Fangxu

• Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis
• Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation

Xing, Lei

• TransCT: Dual-path Transformer for Low Dose Computed Tomography

Xing, Xiaohan

• Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information
• DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image
• Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification

Xiong, Chi

• Joint Spinal Centerline Extraction and Curvature Estimation with Row-wise Classification and Curve Graph Network

Xiong, Minghua

• Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics

Xiong, Ruiqin

• Multi-level Relationship Capture Network for Automated Skin Lesion Recognition

Xiong, Xiaoliang

• CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

Xiong, Xin

• Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose

Xiong, Zhiwei

• Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation
• Learning Neuron Stitching for Connectomics

Xu, Chris

• Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy

Xu, Daguang

• The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization for Medical Image Segmentation
• Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports
• Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures
• Accounting for Dependencies in Deep Learning based Multiple Instance Learning for Whole Slide Imaging

Xu, Fan

• MBFF-Net: Multi-Branch Feature Fusion Network for Carotid Plaque Segmentation in Ultrasound

Xu, Junjie

• Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor

Xu, Junshen

• STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning
• Multi-scale Neural ODEs for 3D Medical Image Registration
• Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging

Xu, Kaiwen

• Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective

Xu, Kaixin

• MT-UDA: Towards Unsupervised Cross-Modality Medical Image Segmentation with Limited Source Labels

Xu, Lan

• IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation

Xu, Lijian

• A Deep Reinforced Tree-traversal Agent for Coronary Artery Centerline Extraction

Xu, Mengya

• Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation

Xu, Minfeng

• Semi-supervised Left Atrium Segmentation with Mutual Consistency Training

Xu, Moucheng

• Learning to Address Intra-segment Misclassification in Retinal Imaging

Xu, Rongtao

• DC-Net: Dual Context Network for 2D Medical Image Segmentation

Xu, Sheng

• End-to-end Ultrasound Frame to Volume Registration
• Cross-modal Attention for MRI and Ultrasound Volume Registration

Xu, Shibiao

• DC-Net: Dual Context Network for 2D Medical Image Segmentation

Xu, Tianmin

• Spectral Embedding Approximation and Descriptor Learning for Craniofacial Volumetric Image Correspondence

Xu, Wei

• Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images

Xu, Xiaowei

• Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation
• Positional Contrastive Learning for Volumetric Medical Image Segmentation
• EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis

Xu, Xinxing

• Partial-supervised Learning for Vessel Segmentation in Ocular Images
• Few-Shot Domain Adaptation with Polymorphic Transformers

Xu, Xuanang

• Task-Oriented Low-Dose CT Image Denoising
• End-to-end Ultrasound Frame to Volume Registration
• Cross-modal Attention for MRI and Ultrasound Volume Registration

Xu, Xun

• Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining

Xu, Yanwu

• Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition
• A Multi-Branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation

Xu, Yanyu

• Partial-supervised Learning for Vessel Segmentation in Ocular Images

Xu, Yi

• SSLP: Spatial Guided Self-supervised Learning on Pathological Images
• Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation

Xu, Yiyue

• Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network
• Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction

Xu, Yong

• Task Transformer Network for Joint MRI Reconstruction and Super-Resolution
• Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network

Xu, Zhe

• Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation
• Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation

Xu, Zhoubing

• Pancreas CT Segmentation by Predictive Phenotyping

Xu, Ziyue

• Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports
• Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures
• Accounting for Dependencies in Deep Learning based Multiple Instance Learning for Whole Slide Imaging

Xu, Zongben

• A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation

Xuan, Ping

• Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network
• Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction

Xue, Fei-Fei

• Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations

Xue, Yuan

• A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis

Xue, Zhong

• Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms
• Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning

Yan, Jiadong

• Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks

Yan, Jiangpeng

• Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
• From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks

Yan, Ke

• Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
• Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
• SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
• Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection
• Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings

Yan, Pingkun

• Task-Oriented Low-Dose CT Image Denoising
• End-to-end Ultrasound Frame to Volume Registration
• Cross-modal Attention for MRI and Ultrasound Volume Registration
• AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray

Yan, Senxiang

• DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Yan, Yangtian

• Automatic Severity Rating for Improved Psoriasis Treatment

Yan, Yunlu

• Task Transformer Network for Joint MRI Reconstruction and Super-Resolution

Yang, Baoyao

• A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels

Yang, Canqian

• Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation

Yang, Chao

• Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation

Yang, Chen

• Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning

Yang, Cheng-Kung

• Stain Mix-up: Unsupervised Domain Generalization for Histopathology Images

Yang, Dong

• The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization for Medical Image Segmentation
• Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures
• Accounting for Dependencies in Deep Learning based Multiple Instance Learning for Whole Slide Imaging

Yang, Eric

• GloFlow: Whole Slide Image Stitching from Video using Optical Flow and Global Image Alignment

Yang, Erkun

• Tensor-based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-state fMRI
• Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning

Yang, Fan

• Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information
• DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image
• Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study

Yang, Guang-Zhong

• Refined Local-imbalance-based Weight for Airway Segmentation in CT

Yang, Guanyu

• Unsupervised Contrastive Learning of Radiomics and Deep Features for Label-Efficient Tumor Classification
• CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Chamber Segmentation

Yang, Haichun

• SimTriplet: Simple Triplet Representation Learning with a Single GPU

Yang, Hao-Hsiang

• Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection

Yang, Helen

• Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field

Yang, Heran

• A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation

Yang, Hongzheng

• Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching

Yang, Jiancheng

• RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans
• Asymmetric 3D Context Fusion for Universal Lesion Detection

Yang, Jiaqi

• A Topological-Attention ConvLSTM Network and Its Application to EM Images

Yang, Jiawei

• TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation
• Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation

Yang, Jie

• Refined Local-imbalance-based Weight for Airway Segmentation in CT

Yang, Jingyun

• Joint PVL Detection and Manual Ability Classification using Semi-Supervised Multi-task Learning

Yang, Junwei

• Multimodal MRI Acceleration via Deep Cascading Networks with Peer-layer-wise Dense Connections

Yang, Kaiyuan

• Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation

Yang, Lei

• VertNet: Accurate Vertebra Localization and Identification Network from CT Images

Yang, Lin

• Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation
• Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-specific Pruning

Yang, Liwei

• A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation

Yang, Pengshuai

• Self-supervised visual representation learning for histopathological images

Yang, Qi

• Pancreas CT Segmentation by Predictive Phenotyping

Yang, Qing

• IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation

Yang, Sen

• TransPath: Transformer-based Self-supervised Learning for Histopathological Image Classification

Yang, Shimin

• Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks

Yang, Shuang

• Hybrid Supervision Learning for Whole Slide Image Classification

Yang, Wei

• TransPath: Transformer-based Self-supervised Learning for Histopathological Image Classification

Yang, Wenming

• MBFF-Net: Multi-Branch Feature Fusion Network for Carotid Plaque Segmentation in Ultrasound

Yang, Xin

• Towards Robust Dual-view Transformation via Densifying Sparse Supervision for Mammography Lesion Matching
• Style Curriculum Learning for Robust Medical Image Segmentation
• Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
• Flip Learning: Erase to Segment

Yang, Yang

• Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor

Yang, Yifan

• Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition

Yang, Yuedong

• Integration of Patch Features through Self-Supervised Learning and Transformer for Survival Analysis on Whole Slide Images

Yang, Yuezhi

• Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning

Yang, Zhicheng

• Supervised Contrastive Pre-Training for Mammographic Triage Screening Models

Yang, Zhiwen

• Medical Matting: A New Perspective on Medical Segmentation with Uncertainty

Yao, Chenpu

• High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction

Yao, Dongren

• Tensor-based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-state fMRI

Yao, Jianhua

• Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information
• Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata
• Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
• From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks
• DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image
• 3D Brain Midline Delineation for Hematoma Patients

Yao, Jiawen

• Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers

Yao, Qingsong

• You Only Learn Once: Universal Anatomical Landmark Detection
• One-Shot Medical Landmark Detection
• A Hierarchical Feature Constraint to CamouflageMedical Adversarial Attacks

Yao, Tianyuan

• SimTriplet: Simple Triplet Representation Learning with a Single GPU

Yao, Xuan

• Medical Matting: A New Perspective on Medical Segmentation with Uncertainty

Yap, Pew-Thian

• Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates
• Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting
• Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values
• Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation
• Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters
• DLLNet: An Attention-based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models
• Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning
• Active Cortex Tractography
• A self-supervised deep framework for reference bony shape estimation in orthognathic surgical planning

Ye, Chuyang

• Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations
• Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects
• CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

Ye, Huihui

• Hierarchical graph pathomic network for progression free survival prediction

Ye, Jiarong

• A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis

Ye, Jin

• Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
• A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images

Ye, Xianghua

• SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
• DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search

Ye, Xiufen

• Medical Matting: A New Perspective on Medical Segmentation with Uncertainty

Yeaton, Anna

• Adversarial learning of cancer tissue representations

Yee, Chi Hang

• E-DSSR: Efficient Dynamic Surgical Scene Reconstruction with Transformer-based Stereoscopic Depth Perception

Yeh, Chao-Yuan

• Stain Mix-up: Unsupervised Domain Generalization for Histopathology Images
• Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images

Yeung, Pak-Hei

• Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning

Yin, Chong

• Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification

Yin, Guosheng

• Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning

Yin, Weiyan

• Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction

Yin, Xiaoxu

• Self-supervised visual representation learning for histopathological images

Yin, Zhaozheng

• Unsupervised Network Learning for Cell Segmentation
• Annotation-efficient Cell Counting
• Airway Anomaly Detection by Graph Neural Network

Yoon, Jihun

• hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries

Yoon, Sora

• Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline

Yoon, Young-Gyu

• RLP-Net: Recursive Light Propagation Network for 3-D Virtual Refocusing
• Efficient neural network approximation of robust PCA for automated analysis of calcium imaging data

Yoshizawa, Shunsuke

• A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging

You, Di

• AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation

Yu, Boliang

• IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation

Yu, Dan

• A Location Constrained Dual-branch Network for Reliable Diagnosis of Jaw Tumors and Cysts

Yu, Hanchao

• Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels

Yu, Hayeong

• hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries

Yu, Hong

• TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

Yu, Jingyi

• IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation

Yu, Jinming

• Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction

Yu, Lequan

• TransCT: Dual-path Transformer for Low Dose Computed Tomography
• Selective Learning from External Data for CT Image Segmentation

Yu, Pengxin

• M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19

Yu, Shuai

• Cross-domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography

Yu, Shuang

• MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification
• Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification

Yu, Stella X.

• Memory-efficient Learning for High-dimensional MRI Reconstruction

Yu, Wei-Hsiang

• Stain Mix-up: Unsupervised Domain Generalization for Histopathology Images

Yu, Xin

• Pancreas CT Segmentation by Predictive Phenotyping

Yu, Yang

• Multimodal Multitask Deep Learning for X-Ray Image Retrieval

Yu, Yizhou

• Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non–Contrast CT Images
• Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation
• Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects
• Generator Versus Segmentor: Pseudo-healthy Synthesis
• Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction
• DAE-GCN: Identifying Disease-Related Features for Disease Prediction
• CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation
• CA-Net: Leveraging Contextual Features for Lung Cancer Prediction

Yu, Zhen

• End-to-end Ugly Duckling Sign Detection for Melanoma Identification with Transformers

Yu, Ziqi

• MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures

Yuan, Chun

• Deep Open Snake Tracker for Vessel Tracing

Yuan, Haiyun

• Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition
• Positional Contrastive Learning for Volumetric Medical Image Segmentation

Yuan, Ke

• Adversarial learning of cancer tissue representations

Yuan, Kun

• Surgical Workflow Anticipation using Instrument Interaction

Yuan, Lei

• LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis

Yuan, Pengyu

• MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors

Yuan, Shuhao

• Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network

Yuan, Ye

• LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR Images

Yuan, Yixuan

• Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation
• Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
• Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification

Yue, Ling

• Cost-Sensitive Meta-Learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI

Yuen, Pong C.

• Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification
• A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels

Yuille, Alan L.

• Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
• SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings
• Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers

Zaharchuk, Greg

• Self-Supervised Longitudinal Neighbourhood Embedding

Zaino, Richard

• A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis

Zakazov, Ivan

• Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation

Zalis, Michael

• Deep-Cleansing: Deep-learning based Electronic Cleansing in Dual-energy CT Colonography

Zamanitajeddin, Neda

• Cells are Actors: Social Network Analysis with Classical ML for SOTA Histology Image Classification

Zapaishchykova, Anna

• An Interpretable Approach to Automated Severity Scoring in Pelvic Trauma

Zare, Samira

• MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors

Zeng, Chenghua

• Alleviating Data Imbalance Issue with Perturbed Input during Inference

Zeng, Dewen

• Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition
• Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation
• Positional Contrastive Learning for Volumetric Medical Image Segmentation
• Federated Contrastive Learning for Volumetric Medical Image Segmentation

Zeng, Guodong

• Semantic Consistent Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation

Zeng, Xiangyun

• Reciprocal Learning for Semi-supervised Segmentation

Zeng, Xiangzhu

• Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects
• CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

Zeng, Zeng

• MT-UDA: Towards Unsupervised Cross-Modality Medical Image Segmentation with Limited Source Labels

Zerva, Matina

• Interpretable deep learning for multimodal super-resolution of medical images

Zha, Hongbin

• Spectral Embedding Approximation and Descriptor Learning for Craniofacial Volumetric Image Correspondence
• Learning Dual Transformer Network for Diffeomorphic Registration

Zha, Sen

• TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

Zhai, Yuting

• MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures

Zhan, Bo

• Tripled-uncertainty Guided Mean Teacher model for Semi-supervised Medical Image Segmentation
• 3D Transformer-GAN for High-quality PET Reconstruction

Zhan, Li-Ming

• Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images

Zhan, Liang

• Disentangled and Proportional Representation Learning for Multi-View Brain Connectomes

Zhan, Yiqiang

• Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms

Zhang, Angela

• A computational geometry approach for modeling neuronal fiber pathways

Zhang, Caiming

• Context-aware virtual adversarial training for anatomically-plausible segmenation

Zhang, Chaoyi

• Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation
• BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation

Zhang, Chenxi

• A hybrid attention ensemble framework for zonal prostate segmentation

Zhang, Chunhui

• USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning

Zhang, Daoqiang

• Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound

Zhang, Dong

• Joint Segmentation and Quantification of Main Coronary Vessels Using Dual-branch Multi-scale Attention Network

Zhang, Donghao

• Medical Matting: A New Perspective on Medical Segmentation with Uncertainty

Zhang, Fan

• Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation

Zhang, Fandong

• DAE-GCN: Identifying Disease-Related Features for Disease Prediction
• CA-Net: Leveraging Contextual Features for Lung Cancer Prediction

Zhang, Haichuan

• Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network

Zhang, Haimiao

• InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction
• Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation

Zhang, Han

• Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis

Zhang, Hang

• Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction

Zhang, He

• Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network
• Confidence-aware Cascaded Network for Fetal Brain Segmentation on MR Images

Zhang, Heye

• Joint Segmentation and Quantification of Main Coronary Vessels Using Dual-branch Multi-scale Attention Network

Zhang, Hongwei

• Joint Segmentation and Quantification of Main Coronary Vessels Using Dual-branch Multi-scale Attention Network

Zhang, Hongyang R.

• Observational Supervision for Medical Image Classification using Gaze Data

Zhang, Jiajin

• Task-Oriented Low-Dose CT Image Denoising

Zhang, Jian

• A Multi-Branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation

Zhang, Jian Jun

• Surgical Instruction Generation with Transformers

Zhang, Jianguo

• Imbalance-Aware Self-Supervised Learning for 3D Radiomic Representations

Zhang, Jianpeng

• CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

Zhang, Jiawei

• EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis

Zhang, Jing

• TransPath: Transformer-based Self-supervised Learning for Histopathological Image Classification
• AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation

Zhang, Jinglu

• Surgical Instruction Generation with Transformers

Zhang, Jingyang

• Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation
• Comprehensive Importance-based Selective Regularization for Continual Segmentation Across Multiple Sites

Zhang, Jinwei

• Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction

Zhang, Jiong

• Personalized Matching and Analysis of Cortical Folding Patterns via Patch-Based Intrinsic Brain Mapping
• Cross-domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography

Zhang, Jun

• TransPath: Transformer-based Self-supervised Learning for Histopathological Image Classification
• Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information
• DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image

Zhang, Junsheng

• Instance-aware Feature Alignment for Cross-domain Cell Nuclei Detection in Histopathology Images

Zhang, Kevin

• Memory-efficient Learning for High-dimensional MRI Reconstruction

Zhang, Lei

• Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
• End-to-end Ugly Duckling Sign Detection for Melanoma Identification with Transformers

Zhang, Li

• Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images

Zhang, Lifu

• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

Zhang, Lihe

• Automatic Polyp Segmentation via Multi-scale Subtraction Network

Zhang, Lin

• Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images

Zhang, Ling

• Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers

Zhang, Lu

• Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference

Zhang, Meihui

• Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation

Zhang, Miaomiao

• Bayesian Atlas Building with Hierarchical Priors for Subject-specific Regularization

Zhang, Ni

• Few Trust Data Guided Annotation Refinement for Upper Gastrointestinal Anatomy Recognition

Zhang, Qirui

• Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading

Zhang, Rongguo

• M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19

Zhang, Rui

• Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation

Zhang, Ruifei

• Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation

Zhang, Ruimao

• Shallow Attention Network for Polyp Segmentation
• Multi-Compound Transformer for Accurate Biomedical Image Segmentation

Zhang, Shaobo

• CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Chamber Segmentation

Zhang, Shaoting

• Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation
• Multi-Compound Transformer for Accurate Biomedical Image Segmentation
• Hybrid Supervision Learning for Whole Slide Image Classification
• Fully Test-time Adaptation for Image Segmentation
• Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency
• Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation
• Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images
• A Deep Reinforced Tree-traversal Agent for Coronary Artery Centerline Extraction

Zhang, Shichuan

• Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-specific Pruning
• Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency
• Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images

Zhang, Shu

• Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks

Zhang, Shuixing

• Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference

Zhang, Teng

• SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset

Zhang, Tong

• EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography

Zhang, Tuo

• Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks
• Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder

Zhang, Xianli

• Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network
• Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image

Zhang, Xiao-Yong

• MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures

Zhang, Xiaoman

• SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation

Zhang, Xiaopeng

• DC-Net: Dual Context Network for 2D Medical Image Segmentation

Zhang, Xiaoqun

• Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction

Zhang, Xinru

• CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation

Zhang, Xiulan

• Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition

Zhang, Xukun

• Confidence-aware Cascaded Network for Fetal Brain Segmentation on MR Images

Zhang, Ya

• Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
• SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation
• Fully Test-time Adaptation for Image Segmentation

Zhang, Yan-Ming

• Region Ensemble Network for MCI Conversion Prediction With a Relation Regularized Loss

Zhang, Yanbo

• Supervised Contrastive Pre-Training for Mammographic Triage Screening Models
• BI-RADS Classification of Calcification on Mammograms

Zhang, Yanfu

• Disentangled and Proportional Representation Learning for Multi-View Brain Connectomes

Zhang, Yang

• TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation
• Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
• Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
• ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities
• A Multi-Branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation

Zhang, Yao

• TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation
• Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation

Zhang, Yi

• Dual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction

Zhang, Yinglin

• A Multi-Branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation

Zhang, Yingying

• EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography

Zhang, Yizhe

• kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation

Zhang, Yu

• Residual Feedback Network for Breast Lesion Segmentation in Ultrasound Image

Zhang, Yu-Dong

• Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining

Zhang, Yucheng

• Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features

Zhang, Yue

• Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting

Zhang, Yueyi

• Learning Neuron Stitching for Connectomics

Zhang, Yundong

• TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

Zhang, Yungeng

• Spectral Embedding Approximation and Descriptor Learning for Craniofacial Volumetric Image Correspondence
• Learning Dual Transformer Network for Diffeomorphic Registration

Zhang, Yunlong

• Generator Versus Segmentor: Pseudo-healthy Synthesis

Zhang, Yuyao

• IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation

Zhang, Zhicheng

• TransCT: Dual-path Transformer for Low Dose Computed Tomography

Zhang, Zhiqiang

• Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading

Zhang, Zhizhong

• Tensor-based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-state fMRI

Zhao, Cheng

• Visual-Assisted Probe Movement Guidance for Obstetric Ultrasound Scanning using Landmark Retrieval

Zhao, Fenqiang

• Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network
• Learning 4D Infant Cortical Surface Atlas with Unsupervised Spherical Networks
• Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases based on Deep Learning
• A Deep Network for Joint Registration and Parcellation of Cortical Surfaces

Zhao, Jianfeng

• mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network

Zhao, Lin

• Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder

Zhao, Mengyang

• SimTriplet: Simple Triplet Representation Learning with a Single GPU

Zhao, Qi

• Few-shot Transfer Learning for Hereditary Retinal Diseases Recognition

Zhao, Qingyu

• Self-Supervised Longitudinal Neighbourhood Embedding
• Longitudinal Correlation Analysis for Decoding Multi-Modal Brain Development

Zhao, Shilin

• SimTriplet: Simple Triplet Representation Learning with a Single GPU

Zhao, Shuang

• Automatic Severity Rating for Improved Psoriasis Treatment

Zhao, Tianyi

• Airway Anomaly Detection by Graph Neural Network

Zhao, Wei

• TransCT: Dual-path Transformer for Low Dose Computed Tomography
• Interactive smoothing parameter optimization in DBT Reconstruction using Deep learning

Zhao, Xiaoqi

• Automatic Polyp Segmentation via Multi-scale Subtraction Network

Zhao, Xin

• Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition
• Medical Matting: A New Perspective on Medical Segmentation with Uncertainty

Zhao, Xingchen

• PAC Bayesian Performance Guarantees for (Stochastic) Deep Networks in Medical Imaging

Zhao, Xiwen

• A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits

Zhao, Yitian

• Learning Unsupervised Parameter-specific Affine Transformation for Medical Images Registration
• Cross-domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography

Zhao, Yize

• A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits

Zhao, Yu

• Multi-modal Multi-instance Learning using Weakly Correlated Histopathological Images and Tabular Clinical Information
• Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks
• DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image

Zhao, Yuan-Xing

• Region Ensemble Network for MCI Conversion Prediction With a Relation Regularized Loss

Zhao, Zhongbo

• Multi-Head GAGNN: A Multi-Head Guided Attention Graph Neural Network for Modeling Spatio-Temporal Patterns of Holistic Brain Functional Networks

Zhao, Zhuo

• Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation

Zhao, Zipei

• Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations

Zhao, Ziteng

• Unsupervised Contrastive Learning of Radiomics and Deep Features for Label-Efficient Tumor Classification

Zhao, Ziyuan

• MT-UDA: Towards Unsupervised Cross-Modality Medical Image Segmentation with Limited Source Labels

Zhen, Xiantong

• Variational Topic Inference for Chest X-Ray Report Generation

Zheng, Guoyan

• Spine-Transformers: Vertebra Detection and Localization in Arbitrary Field-of-View Spine CT with Transformers
• Semantic Consistent Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation

Zheng, Hairong

• Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework

Zheng, Han

• Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata

Zheng, Hao

• Refined Local-imbalance-based Weight for Airway Segmentation in CT
• kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation
• Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation

Zheng, Jian-Qing

• Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images

Zheng, Kang

• Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images

Zheng, Wei-Shi

• Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data
• Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
• Alleviating Data Imbalance Issue with Perturbed Input during Inference

Zheng, Yalin

• Learning Unsupervised Parameter-specific Affine Transformation for Medical Images Registration
• Cross-domain Depth Estimation Network for 3D Vessel Reconstruction in OCT Angiography

Zheng, Yefeng

• Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
• Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading
• Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views
• Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images
• Seg4Reg+: A Local and Global ConsistencyLearning between Spine Segmentation and CobbAngle Regression
• Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation
• MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification
• Local-global Dual Perception based Deep Multiple Instance Learning for Retinal Disease Classification
• InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction
• Deep Reinforcement Exemplar Learning for Annotation Refinement
• A Hierarchical Feature Constraint to CamouflageMedical Adversarial Attacks

Zheng, Yuanjie

• Synthesis of Contrast-enhanced Spectral Mammograms from Low-energy Mammograms Using cGAN-Based Synthesis Network

Zhong, Changhong

• Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor

Zhong, Cheng

• Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
• ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

Zhong, Tao

• Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network

Zhong, Yuming

• Reciprocal Learning for Semi-supervised Segmentation

Zhong, Zhehao

• Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data

Zhou, Bo

• Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network
• Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth

Zhou, Haoyin

• EMDQ-SLAM: Real-time High-resolution Reconstruction of Soft Tissue Surface from Stereo Laparoscopy Videos

Zhou, Jianqiao

• Flip Learning: Erase to Segment

Zhou, Jie

• SGNet: Structure-aware Graph-based Network for Airway Semantic Segmentation

Zhou, Jiliu

• Tripled-uncertainty Guided Mean Teacher model for Semi-supervised Medical Image Segmentation
• Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy
• Dual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction
• Coarse-to-fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy
• 3D Transformer-GAN for High-quality PET Reconstruction

Zhou, Jinyuan

• Over-and-Under Complete Convolutional RNN for MRI Reconstruction

Zhou, Lei

• Chest Radiograph Disentanglement for COVID-19 Outcome Prediction

Zhou, Luping

• Tripled-uncertainty Guided Mean Teacher model for Semi-supervised Medical Image Segmentation
• 3D Transformer-GAN for High-quality PET Reconstruction

Zhou, Mu

• UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

Zhou, Nan

• 3D Graph-S2Net: Shape-Aware Self-Ensembling Network for Semi-Supervised Segmentation with Bilateral Graph Convolution

Zhou, Qichao

• Boundary-aware Transformers for Skin Lesion Segmentation

Zhou, S. Kevin

• You Only Learn Once: Universal Anatomical Landmark Detection
• Universal Undersampled MRI Reconstruction
• U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction
• Shallow Attention Network for Polyp Segmentation
• Perceptual Quality Assessment of Chest Radiograph
• One-Shot Medical Landmark Detection
• Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation
• DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images
• Conditional Training with Bounding Map for Universal Lesion Detection
• A Hierarchical Feature Constraint to CamouflageMedical Adversarial Attacks

Zhou, Tao

• Confidence-aware Cascaded Network for Fetal Brain Segmentation on MR Images

Zhou, Tianfei

• Quality-Aware Memory Network for Interactive Volumetric Image Segmentation

Zhou, Xiao-Hu

• Vessel Width Estimation via Convolutional Regression

Zhou, Xiao-Yun

• Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images

Zhou, Xiaoxue

• EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography

Zhou, Xiuzhuang

• Energy-Based Supervised Hashing for Multimorbidity Image Retrieval

Zhou, Yan-Jie

• Vessel Width Estimation via Convolutional Regression

Zhou, Yanning

• OXnet: Deep Omni-supervised Thoracic Disease Detection from Chest X-rays

Zhou, Yi

• High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction

Zhou, Yuanfeng

• Context-aware virtual adversarial training for anatomically-plausible segmenation

Zhou, Yuhang

• SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation

Zhou, Yujia

• Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint

Zhou, Yukun

• Learning to Address Intra-segment Misclassification in Retinal Imaging
• Generalised Super Resolution for Quantitative MRI Using Self-Supervised Mixture of Experts

Zhou, Yuqian

• Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels

Zhou, Yuyin

• Pancreas CT Segmentation by Predictive Phenotyping

Zhu, Alyssa

• Style Transfer Using Generative Adversarial Networks for Multi-Site MRI Harmonization

Zhu, Chenglu

• Generalizing Nucleus Recognition Model in Multi-source Ki67 Immunohistochemistry Stained Images via Domain-specific Pruning

Zhu, Chengzhan

• Self-supervised visual representation learning for histopathological images

Zhu, Dajiang

• Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder

Zhu, Heqin

• You Only Learn Once: Universal Anatomical Landmark Detection

Zhu, Lei

• Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation
• Boundary-aware Transformers for Skin Lesion Segmentation

Zhu, Meilu

• Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning

Zhu, Weifang

• High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction

Zhu, Wentao

• Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures

Zhu, Xiaomei

• CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Chamber Segmentation

Zhu, Xiaoya

• Instance-aware Feature Alignment for Cross-domain Cell Nuclei Detection in Histopathology Images

Zhu, Yuyao

• Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
• From Pixel to Whole Slide: Automatic Detection of Microvascular Invasion in Hepatocellular Carcinoma on Histopathological Image via Cascaded Networks

Zhuang, Jian

• Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition
• Positional Contrastive Learning for Volumetric Medical Image Segmentation
• EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis

Zhuang, Xiahai

• AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs

Zhuang, Yihong

• Generator Versus Segmentor: Pseudo-healthy Synthesis

Zhuo, Jiachen

• Generative Self-training for Cross-domain Unsupervised Tagged-to-Cine MRI Synthesis

Ziemssen, Focke

• Interpretable gender classification from retinal fundus images using BagNets

Zimmer, Veronika A.

• AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs

Zimmerer, David

• Continuous-Time Deep Glioma Growth Models

Zingg, Patrick O.

• Acoustic-based Spatio-temporal Learning for Press-fit Evaluation of Femoral Stem Implants
• A new Approach to Orthopedic Surgery Planning using Deep Reinforcement Learning and Simulation

Zinkernagel, Martin

• CataNet: Predicting remaining cataract surgery duration

Zisserman, Andrew

• Self-Supervised Multi-Modal Alignment For Whole Body Medical Imaging

Zlotnick, Aviad

• Beyond Non-Maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes

Zonoobi, Dornoosh

• TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection

Zou, Bing

• Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction

Zou, Silin

• NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Zou, Yuxin

• Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
• Flip Learning: Erase to Segment

Zu, Chen

• Tripled-uncertainty Guided Mean Teacher model for Semi-supervised Medical Image Segmentation
• Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy
• Coarse-to-fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy
• 3D Transformer-GAN for High-quality PET Reconstruction

Zucker, Evan

• Personalized CT Organ Dose Estimation from Scout Images

Zuckerbrod, Stewart Lee

• RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network

Zuley, Margarita L.

• Radiomics-informed Deep Curriculum Learning for Breast Cancer Diagnosis

Zwanenburg, Alexander

• Do we need complex image features to personalize treatment of patients with locally advanced rectal cancer?

de Back, Walter

• Structure-Preserving Multi-Domain Stain Color Augmentation using Style-Transfer with Disentangled Representations

de Backer, Ole

• Implicit Neural Distance Representation for Unsupervised and Supervised Classification of Complex Anatomies

de Marvao, Antonio

• Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration

de Ruiter, Quirina

• Determination of error in 3D CT to 2D fluoroscopy image registration for endobronchial guidance

dos Santos, Márcia

• AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

van Tulder, Gijs

• Multi-view analysis of unregistered medical images using cross-view transformers