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

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