List of Authors
Aakur, Sathyanarayanan N.
Abaci Turk, Esra
Abidin, Anas A.
Abolmaesumi, Purang
Ackermann, Joëlle
• A new Approach to Orthopedic Surgery Planning using Deep Reinforcement Learning and Simulation
Adalsteinsson, Elfar
Adeli, Ehsan
Adnan, Mohammed
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
Agarwal, Saloni
Agrawal, Utkarsh
Agu, Nkechinyere N.
Ahmad, Sahar
• 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
Ahn, Euijoon
Ahn, Shawn S.
Aigner, Christina
Akata, Zeynep
Akbarifar, Faranak
Al Chanti, Dawood
Albarqouni, Shadi
Aleef, Tajwar Abrar
• Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data
Alexander, Daniel C.
Ali, Shahnewaz
Ali, Sharib
Ali, Syed
Alimi, Abib
• A spherical convolutional neural network for white matter structure imaging via diffusion MRI
Alle, Shanmukh
Alpers, Julian
Ambrosetti, Damien
Aminu, Muhammad
Amunts, Katrin
Andou, Masamichi
• A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging
Andrearczyk, Vincent
Aneja, Ritu
Anklin, Valentin
Antunes, Jacob
Arbeláez, Pablo
Arefan, Dooman
Arganda-Carreras, Ignacio
Armitage, Keith
• LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis
Arnold, Corey W.
Arora, Chetan
Arvinte, Marius
Asma, Evren
Atar, Eli
Attar, Rahman
Au, Jason
Austin, Thomas
• Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds
Avinash, Gopal
Ayhan, Murat Seçkin
Azampour, Mohammad Farid
Azarianpour Esfahani, Sepideh
Bae, Hyeon-Min
Bae, J. Alexander
Bae, Joseph
Bagavathi, Arunkumar
Bahrami, Mojtaba
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
Baker, Salah A.
Balachandran, Sharanya
Baldus, Christian
Balu, Niranjan
Bano, Sophia
Bao, Jingxuan
Bao, Qiqi
• MBFF-Net: Multi-Branch Feature Fusion Network for Carotid Plaque Segmentation in Ultrasound
Bao, Shunxing
Bar-Shira, Or
Barata, Catarina
Barfoot, Theodore
• Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification
Barkan, Ella
Barnett, Michael
Bartoli, Adrien
Barwick, Tara
• Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification
Baselizadeh, Soroosh
Batal, Ibrahim
• MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors
Batmanghelich, Kayhan
Battistella, Enzo
Baumann, Michael
Baumgartner, Michael
Bayasi, Nourhan
Bayat, Sharareh
Bayrak, Roza G.
• From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics
Bdair, Tariq
Becker, Benjamin
Becker, Jan
• MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors
Belov, Aleksandr
Belyaev, Mikhail
Ben-Yosef, Dalit
Bendszus, Martin
Beqiri, Arian
Bera, Kaustav
• LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN model of Infiltrates for COVID-19 Prognosis
Berens, Philipp
Bergeles, Christos
Berkovsky, Shlomo
Berkowitz, Seth
Bertels, Jeroen
Bhalodia, Riddhish
Bhattacharya, Indrani
Bhattarai, Shristi
Bi, Qi
• MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification
Bi, Shanshan
Bi, Xiuli
Bian, Cheng
• MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification
Bian, Gui-Bin
Bise, Ryoma
Biswal, Bharat
Black, Peter
• Co-Generation and Segmentation for Generalized Surgical Instrument Segmentation on Unlabelled Data
Blaschko, Matthew B.
Bogunovic, Hrvoje
Bonazzola, Rodrigo
Bonnington, Paul
Borotikar, Bhushan
Borsdorf, Anja
• Deep Iterative 2D/3D Registration
Botros, Karim
Boulanger-Weill, Jonathan
Bourdel, Nicolas
Boutillon, Arnaud
Boxberg, Melanie
Bozorgtabar, Behzad
Braden, Barbara
Braman, Nathaniel
Brambilla, Paolo
Braren, Rickmer
Brasch, Nikolas
Bredell, Gustav
Bron, Esther
Bronstein, Michael
Brooks, James D.
Browning, James
• Uncertainty Aware Deep Reinforcement Learning for Anatomical Landmark Detection in Medical Images
Brox, Thomas
Bryan, Robert
• Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds
Buc, Emmanuel
Buchberger, Jonas
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
Bulterys, Philip
• GloFlow: Whole Slide Image Stitching from Video using Optical Flow and Global Image Alignment
Bunting, Karina
Burdin, Valerie
Burger, Jürgen
• Semantic Consistent Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation
Burian, Egon
Bus, Norbert
Busam, Benjamin
Bydlon, Torre
• Determination of error in 3D CT to 2D fluoroscopy image registration for endobronchial guidance
Cabezas, Mariano
Cai, Bin
Cai, Haibin
Cai, Hongmin
Cai, Jianfei
Cai, Jiatong
Cai, Jinzheng
Cai, Shuntian
• Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video
Cai, Weidong
Cai, Wenli
Cai, Yuezhi
Calvet, Lilian
Camara, Oscar
Campello, Victor
Cao, Kai
• Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers
Cao, Wanyue
Cao, Ying
Cao, Zhenjie
Caprara, Sebastiano
Carass, Aaron
Carnahan, Patrick
Carneiro, Gustavo
Carson, Richard E.
Carter, Gloria
Cattani, Laura
Celik, Numan
Cha, Miriam
Chai, Hua
Chai, Yaqiong
Chaitanya, Krishna
Chakravorti, Srijata
Chan, Chung
Chan, Ling Ling
• Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation
Chandra, Shakes
Chang, Catie
• From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics
Chang, Dong-Jin
Chang, Hyung Jin
Chang, Jia-Ren
Chang, Jian
Chang, Jianbo
• Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata
Chang, Peng
Chang, Ruiheng
Chang, Silvia
Chang, Wei-Tang
Chao, Hanqing
Chatterjee, Sudhanya
Chaudhari, Pratik
Che, Hui
Che, Jifei
Chellappa, Rama
Chen, Alvin
• Determination of error in 3D CT to 2D fluoroscopy image registration for endobronchial guidance
Chen, Antong
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