Oral

Clinically-guided Prototype Learning and Its Use for Explanation in Alzheimer's Disease Identification

Ahmad Wisnu Mulyadi (Korea University); Wonsik Jung (Korea Univeristy); Kwanseok Oh (Korea University); Jee Seok Yoon (Korea University); Heung-Il Suk (Korea University)

Subject-specific quantitative susceptibility mapping using patch based deep image priors

Arvind Balachandrasekaran (Harvard Medical School); Davood Karimi (Harvard University); CAMILO JAIMES J COBOS (Boston Children's Hospital); Ali Gholipour (Boston Children's Hospital)

pFLSynth: Personalized Federated Learning of Image Synthesis in Multi-Contrast MRI

Onat Dalmaz (Bilkent University); Muhammad U Mirza (Bilkent); Gökberk Elmas (Bilkent University); Muzaffer Özbey (Bilkent University); Salman Ul Hassan Dar (Bilkent University); Emir Ceyani (USC); Salman Avestimehr (University of Southern California); Tolga Cukur (Bilkent University)

Exploring the Relationship Between Model Prediction Uncertainty and Gradient Inversion Attack Vulnerability for Federated Learning-Based Diabetic Retinopathy Grade Classification

Christopher Nielsen  (University of Calgary); Nils Daniel Forkert (University of Calgary)

Learning Probabilistic Topological Representations Using Discrete Morse Theory

Xiaoling Hu (Stony Brook University); Dimitris   Samaras (Stony Brook University); Chao Chen (Stony Brook University)

CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs

Eloy Geenjaar (Georgia Institute of Technology); Noah Lewis (TReNDS); Amrit Kashyap (Charite University Hospital); Robyn Miller (Georgia State University); Vince Calhoun (TReNDS)

Poster

Label-Free Segmentation of Liver Tumors by Synthesizing Tumor Shape and Texture

Qixin Hu (Huazhong University of Science and Technology); Junfei Xiao (Johns Hopkins University); Alan Yuille (Johns Hopkins University); Zongwei Zhou (Johns Hopkins University)

Optimized Global Perturbation Attacks For Brain Tumour ROI Extraction From Binary Classification Models

Sajith M Rajapaksa (University of Toronto); Farzad Khalvati (University of Toronto)

Learn Complementary Pseudo-label for for Source-free Domain Adaptive Medical Segmentation

Wanqing Xie (AHMU); Mingzhen Li (Washington University in St. Louis); Jinzhou Wu (Harvard); Yongsong Huang (Tohoku University); Yuanyuan Bu (Shandong University); Jane You (PolyU); Xiaofeng Liu (MGH and Harvard Medical School)

Does Medical Imaging learn different Convolution Filters?

Paul Gavrikov (Offenburg University); Janis Keuper (Offenburg University)

Normative Modeling on Multimodal Neuroimaging Data using Variational Autoencoders

Sayantan Kumar (Washington University in St. Louis); Philip R Payne (Washington University in St. Louis)

Semi-supervised Learning Using Robust Loss

Wenhui Cui (University of Southern California); Haleh Akrami (University of Southern California); Anand Joshi (University of Southern California); Richard Leahy (University of Southern California)

UniverSeg: Universal Medical Image Segmentation

Victor I Butoi (MIT); Jose Javier Gonzalez Ortiz (MIT); Tianyu  Ma (Cornell University); John Guttag (MIT); Mert Sabuncu (Cornell University); Adrian V Dalca (MIT)

HyperFed: A Novel Hypernetwork-based Personalized Federated Learning Framework for Multi-source CT Reconstruction

Ziyuan Yang (Sichuan University); Wenjun Xia (Sichuan University); Yingyu Chen (Sichuan University); Zhiwen Wang (Sichuan University); Hui Yu (Sichuan University); Zhongxian Wang (Sichuan University); Xiaoxiao Li (University of British Columbia); Yi Zhang (Sichuan University)

Multiscale Metamorphic VAE for 3D Brain MRI Synthesis

Jaivardhan Kapoor (University of Tuebingen); Jakob Macke (University of Tuebingen); Christian  F Baumgartner  (University of Tübingen)

Uncertainty in Neural Networks vs. Dermatologists for Skin Lesion Classification

Pieter Van Molle (Ghent University); Sofie Mylle (Ghent University Hospital); Tim Verbelen (Ghent University); Cedric De Boom (Statistics Flanders); Bert Vankeirsbilck (Ghent University); Evelien Verhaeghe (Ghent University Hospital); Bart Dhoedt (Ghent University); Lieve Brochez (Ghent University Hospital)

A Framework for Generating 3D Shape Counterfactuals

Rajat R Rasal (Imperial College London); Daniel Coelho de Castro (Microsoft Research); Nick Pawlowski (Microsoft Research); Ben Glocker (Imperial College London)

Assembling Existing Labels from Public Datasets to Diagnose Novel Diseases: COVID-19 in Early 2019

Zengle Zhu (Tongji University); Mintong Kang (UIUC); Alan Yuille (Johns Hopkins University); Zongwei Zhou (Johns Hopkins University)

Labeling instructions matter in biomedical image analysis

Tim Rädsch (German Cancer Research Center); Annika Reinke (German Cancer Research Center); Vivienn Weru (German Cancer Research Center); Minu Dietlinde Tizabi (German Cancer Research Center); Nicholas Schreck (German Cancer Research Center); A. Emre Kavur (German Cancer Research Center); Bünyamin Pekdemir (Helmholtz Zentrum München); Tobias Roß (German Center Research Center); Anette Kopp-Schneider (German Cancer Research Center); Lena Maier-Hein (German Cancer Research Center)

Simulating k-space artifacts for robust CNNs

Yaniel Cabrera (Imperial College London); Ahmed E Fetit (Imperial College London)

M(otion)-mode Based Prediction of Cardiac Function on Echocardiograms

Thomas M. Sutter (ETH Zurich); Sebastian Balzer (ETH Zurich); Ece Ozkan (ETH Zurich); Julia Vogt (ETH Zurich)

The Need for Medically Aware Video Compression in Gastroenterology

Joel Shor (Google); Nick Johnston (Google)

Deep Learning for Model Correction in Cardiac Electrophysiological Imaging

Victoriya Kashtanova (Inria); Maxime Sermesant (Inria); Patrick Gallinari (Sorbonne Universite)

Automatic Identification of the Lung Sliding artefact on Lung Ultrasound Examination

Blake VanBerlo (University of Waterloo); Derek Wu (London Health Sciences Centre); Brian Li (University of Waterloo); Marwan Rahman (University of Waterloo); Gregory Hogg (University of Waterloo); Jason L Deglint (University of Waterloo); Bennett VanBerlo (Western University); Jared Tschirhart (Western University); Alex Ford (Lawson Health Research Institute); Jordan Ho (Western University); Joseph McCauley (University of Waterloo); Benjamin Wu (Lawson Health Research Institute); Jaswin Hargun (University of Waterloo); Rushil Chaudhary (Western University); Chintan Dave (Western University); Ashritha Durvasula (Western University); Robert Arntfield (Western University)

Enhancing Annotator Efficiency: Automated Partitioning of a Lung Ultrasound Dataset by View

Bennett VanBerlo (University of Western Ontario); Delaney Smith (University of Waterloo); Jared Tschirhart (Western University); Blake VanBerlo (University of Waterloo); Derek Wu (London Health Sciences Centre); Alex Ford (Lawson Health Research Institute); Joseph McCauley (University of Waterloo); Benjamin Wu (Lawson Health Research Institute); Rushil Chaudhary (Western University); Chintan Dave (Western University); Jordan Ho (Western University); Jason L Deglint (University of Waterloo); Brian Li (University of Waterloo); Robert Arntfield (Western University)

Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction

Nitzan Avidan (Technion - Israel Institute of Technology); Moti Freiman (Technion - Israel Institute of Technology)

Region of Interest Detection in Melanocytic Skin Tumor Whole Slide Images

Yi Cui (University of North Carolina at Chapel Hill); Yao Li (University of North Carolina at Chapel Hill); Jayson Miedema (University of North Carolina at Chapel Hill); Sherif Farag (University of North Carolina at Chapel Hill); Steve Marron (University of North Carolina at Chapel Hill); Nancy Thomas (University of North Carolina at Chapel Hill)

Metrics Reloaded

Annika Reinke (German Cancer Research Center); Lena Maier-Hein (German Cancer Research Center), et.al

Topological Classification in a Wasserstein Distance Based Vector Space

Tananun Songdechakraiwut (University of Wisconsin-Madison); Bryan M. Krause (University of Wisconsin-Madison); Matthew I. Banks (University of Wisconsin-Madison); Kirill V. Nourski (University of Iowa); Barry D. Van Veen (University of Wisconsin-Madison)

Learning SimCLR Representations for Improving Melanoma Whole Slide Images Classification Model Generalization

Yang Jiang (Proscia); Sean Grullon (Proscia); Corey Chivers (Proscia); Vaughn Spurrier (Proscia); Jiayi Zhao (Proscia); Julianna D Ianni (Proscia)

Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models

Kumud Lakara (Manipal Institute of Technology); Matias A Valdenegro Toro (University of Groningen)

Structured Priors for Disentangling Pathology and Anatomy in Patient Brain MRI

Anjun Hu (McGill University); Jean-Pierre Falet (McGill University); Changjian Shui (McGill University); Brennan Nichyporuk (MILA); Sotirios Tsaftaris (The University of Edinburgh); Tal Arbel (McGill University)

Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?

Naga Karthik Enamundram (Mila/Polytechnique Montreal); Anne Kerbrat (CHU Rennes); Pierre Labauge (CHU Montpellier); Tobias Granberg (Karolinska Institutet); Jason Talbott (UCSF); Daniel Reich (NIH); Massimo Filippi (Vita-Salute San Raffaele University); Rohit Bakshi (Brigham and Women's Hospital); Virginie Callot (Aix-Marseille University); Sarath Chandar (Mila); Julien Cohen-Adad (NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal)

Two-stage Conditional Chest X-ray Radiology Report Generation

Pablo Messina (Pontificia Universidad Católica de Chile); José Cañete (CENIA); Denis Parra (Pontificia Universidad Católica de Chile)); Alvaro Soto (Pontificia Universidad Católica de Chile); Cecilia Besa (Pontificia Universidad Católica de Chile); Jocelyn Dunstan (University of Chile)

MRI Segmentation of the Developing Neonatal Brain

Leonie Richter (Imperial College London); Ahmed E Fetit (Imperial College London)

Detecting COVID-19 infection from ultrasound imaging with only five shots: A high-performing explainable deep few-shot learning network

Jessy Song (University of Waterloo); Ashkan Ebadi (National Research Council); PENGCHENG XI (National Research Council); Adrian Florea (McGill University); Alexander Wong (University of Waterloo)

How do 3D image segmentation networks behave across the context versus foreground ratio trade-off?

Amith J Kamath (University of Bern); Yannick R Suter (University of Bern); Suhang You (University of Bern); Michael Mueller (University of Bern); Jonas Willmann (University of Zurich); Nicolaus Andratschke (University of Zurich); Mauricio Reyes (University of Bern)

Towards Geometry-Aware Cell Segmentation in Microscopy Images

Zhexu Jin (Duke Kunshan University); Gaoyang Li (Tongji university); Huansheng Cao (Duke Kunshan University); Dongmian Zou (Duke Kunshan University)

Improving Instrument Detection for a Robotic Scrub Nurse Using a Multi-Frame Voting Scheme

Jorge A. Badilla-Solórzano (IMES); Sontje Ihler (Leibniz University Hannover)

StyleReg - Style Transfer as a Preprocess Step for Myocardial T1 Mapping

Eyal Hanania (Technion - Israel Institute of Technology); Lilach Barkat (Technion - Israel Institute of Technology); Israel Cohen (Technion - Israel Institute of Technology); Haim Azhari (Technion - Israel Institute of Technology); Moti Freiman (Technion - Israel Institute of Technology)

Breast Cancer Pathologic Complete Response Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging

Chi-en A Tai (University of Waterloo); Alexander Wong (University of Waterloo); Nedim Hodzic (University of Waterloo); Nic Flanagan (University of Waterloo); Hayden Gunraj (University of Waterloo)

A Hybrid Classifier with Diverse Features Selected from Feature Sets Extracted by Machine Learning Models for Image Classification

Luna M Zhang (Stony Brook University)

COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images

Hayden Gunraj (University of Waterloo); Tia Tuinstra (University of Waterloo); Alexander  Wong (University of Waterloo)

Quantifying Explainability of Counterfactual-Guided MRI Feature for Alzheimer's Disease Prediction

Kwanseok Oh (Korea University); Da-Woon Heo (Korea Univeristy); Ahmad Wisnu Mulyadi (Korea University); Wonsik Jung (Korea Univeristy); Eunsong Kang (Korea University); Heung-Il Suk (Korea University)

Attribution-Based Confidence Metric for Detection of Adversarial Attacks on Breast Histopathological Images

Steven Fernandes (Creighton University); Senka Krivic (University of Sarajevo); Poonam Sharma (Creighton University); Sumit Jha (University of Texas at San Antonio)

Unpaired Image Translation with Limited Data for Revealing Subtle Phenotypes

Anis Bourou (Université de Paris Descartes); Auguste Genovesio (École Normale Superieure)

Denoising Enhances Visualization of Optical Coherence Tomography Images

Harishwar Reddy K (Indian Institute of Science); Anshul  Shivhare (Indian Institute of Science); Hemanth  Kongara (Indian Institute of Science); Jayesh  Saita (Carl Zeiss India Pvt Limited); Raghu Prasad (Carl Zeiss India Pvt Limited); Chandra Sekhar Seelamantula (IISc Bangalore)

Deployment of Deep Models for Intra-operative Margin Assessment Using Mass Spectrometry

Amoon Jamzad (Queen's University); Laura Connolly (Queen's University); Fahimeh Fooladgar (University of British Columbia); Martin Kaufmann (Queen's University); Kevin Yi Mi Ren (Queen's University); Shaila Merchant (Queen's University); Jay Engel (Queen's University); Sonal Varma (Queen's University); Purang Abolmaesumi (University of British Columbia); Gabor Fichtinger (Queen's University); John Rudan (Queen's University); Parvin Mousavi (Queen's University)

Precise Augmentation and Counting of Helicobacter Pylori in Histology Image

Yufei Cui (McGill University); Yixin Chen (Harbin Institute of Technology Shenzhen Graduate School); Zhifeng Shuai (Zhejiang Hospital); Fang Peng (Zhejiang Hospital); Yanbo Lv (Zhejiang Hospital); Luoning Zheng (Zhejiang Hospital); Xue Liu (McGill University); Antoni Chan (City University of Hong Kong); Tei-Wei Kuo (National Taiwan University); Chun Jason Xue (City University of Hong Kong)

Anatomy-informed Multimodal Learning for Myocardial Infarction Prediction

Ivan-Daniel Sievering (EPFL); Ortal Senouf (EPFL); Thabo Mahendiran (EPFL); David Nanchen (CHUV); Stephane Fournier (CHUV); Olivier Muller (CHUV); Pascal Frossard (EPFL); Emmanuel Abbe (EPFL); Dorina Thanou (EPFL)

Unsupervised Fetal Brain MR Segmentation Using Multi-atlas Deep Learning Registration

Valentin Comte (Universitat Pompeu Fabra); Mireia Alenya (Universitat Pompeu Fabra); Andrea Urru (Universitat Pompeu Fabra); Gemma Piella (Pompeu Fabra University); Mario Ceresa (Universitat Pompeu Fabra); Miguel Angel González Ballester (Universitat Pompeu Fabra)

Effect of Denoising on Retrospective Harmonization of Diffusion Magnetic Resonance Images

Shreyas Fadnavis (Harvard University); Suheyla Cetin-Karayumak (Harvard Medical School and Brigham and Women's Hospital); Kang Ik K Cho (Harvard Medical School and Brigham and Women's Hospital); Sylvain Bouix (Brigham and Women's Hospital); Martha Shenton (Harvard University); Yogesh Rathi (Harvard Medical School); Ofer Pasternak (Brigham and Women's Hospital)

UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection

Pratinav Seth (Manipal Institute of Technology); Adil Khan (Manipal Institute of Technology); Ananya Gupta (Manipal Institute of Technology); Saurabh  Kumar Mishra (Manipal institute of technology); Akshat Bhandari (Manipal Institute of Technology)

Attention-based Learning of Views Fusion Applied to Myocardial Infarction Diagnosis from X-ray CT 

Jakub Gwizdala (EPFL); Ortal Senouf (EPFL); Denise Auberson (CHUV); David Meier (CHUV); David Rotzinger (CHUV); Stephane Fournier (CHUV); Salah Qanadli (CHUV); Olivier Muller (CHUV); Pascal Frossard (EPFL); Emmanuel Abbe (EPFL); Dorina Thanou (EPFL)

Segmentation of Ascites on Abdominal CT Scans for the Assessment of Ovarian Cancer

Benjamin Hou (National Institutes of Health); Manas K Nag (National Institutes of Health); Jung-Min Lee (National Institutes of Health); Christopher Koh (National Institutes of Health); Ronald Summers (National Institutes of Health)

Predicting Structural Brain Trajectories with Discrete Optimal Transport Normalizing Flows

Mireia Masias (Universitat Pompeu Fabra); Gemma Piella (Universitat Pompeu Fabra); Miguel Angel González Ballester (Universitat Pompeu Fabra)

DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging

Zhenghan Fang (Johns Hopkins University); Kuo-Wei Lai (Johns Hopkins University); Peter van Zijl (Johns Hopkins University); Xu Li (Johns Hopkins University); Jeremias Sulam (Johns Hopkins University)

Probabilistic Interactive Segmentation for any Medical Image

Hallee E Wong (MIT); John Guttag (MIT); Adrian V Dalca (MIT)

Adversarial Diffusion Models for Unsupervised Medical Image Synthesis

Muzaffer Özbey (Bilkent University); Onat Dalmaz (Bilkent University); Atakan Bedel (Bilkent University); Salman Ul Hassan Dar (Bilkent University); Şaban Öztürk (Bilkent University); Alper Güngör (Bilkent University); Tolga Cukur (Bilkent University)

Semi-supervised Learning from Uncurated Echocardiogram Images with Fix-A-Step

Zhe Huang (Tufts University); Mary-Joy Sidhom (Tufts University); Benjamin Wessler (Tufts Medical Center); Michael C Hughes (Tufts University)

Unsupervised Feature Correlation Network for Localizing Breast Cancer Using History of Mammograms

Jun Bai (University of Connecticut); Annie Jin (University of Connecticut); Madison Adams (University of Connecticut); Shanglin Zhou (University of Connecticut); Caiwen Ding (University of Connecticut); Clifford  Yang (Uconn Health); Sheida Nabavi (University of Connecticut)

Grade-Adjusted Image Analysis Of Breast Cancer To Predict Subtype

Dong Neuck Lee (University of North Carolina at Chapel Hill)

COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics

Maya Pavlova (University of Waterloo); Tia Tuinstra (University of Waterloo); Hossein Aboutalebi (University of Waterloo); Andy Zhao (University of Waterloo); Hayden Gunraj (University of Waterloo); Alexander  Wong (University of Waterloo)

Contrast Invariant Feature Representations for Medical Image Analysis

Yue Zhi, Russ Chua (MIT); Adrian V Dalca (MIT)

Region-of-Interest Adaptive Acquisition for Accelerated MRI

Zihui Wu (Caltech); Tianwei Yin (MIT); Adrian V Dalca (MIT); Katherine Bouman (Caltech)

StyleGAN2-based Out-of-Distribution Detection for Medical Imaging

McKell Woodland (Rice University); John Wood (MD Anderson Cancer Center); Caleb O'Connor (MD Anderson Cancer Center); Ankit  B Patel (Rice University); Kristy Brock (MD Anderson Cancer Centre)

Unsupervised Anomaly Detection in Medical Images Using Hierarchical Variational Autoencoders

Derek DS Huynh (University of Toronto); Tanya Schmah (University of Ottawa)

A Radiogenomics-based Coordinate System to Quantify the Heterogeneity of Glioblastoma

Fanyang Yu (University of Pennsylvania); Pratik Chaudhari (University of Pennsylvania); Christos Davatzikos (University of Pennsylvania)

Imbalanced Classification in Medical Imaging via Regrouping

Le Peng (University of Minnesota); Yash Travadi (University of Minnesota); Ju Sun (University of Minnesota)

Semi-Supervised Cross-Consistency Contrastive Learning for Nuclei Segmentation in Histology Images

Saad Bashir (University of Warwick); Talha Qaiser (University of Warwick); Shan Raza (University of Warwick); Nasir Rajpoot (University of Warwick)

Semi-Supervision for Clinical Contrast Synthesis from Magnetic Resonance Fingerprinting

Mahmut Yurt (Stanford University); Cagan Alkan (Stanford University); Sophie Schauman (Stanford University); Xiaozhi Cao (Stanford University); Siddharth Iyer (Stanford University); Congyu Liao (Stanford University); Tolga Cukur (Bilkent University); Shreyas Vasanawala (Stanford University); John Pauly (Stanford University); Kawin Setsompop (Stanford University)

Transformer Utilization in Medical Image Segmentation Networks

Saikat Roy (German Cancer Research Center); Gregor Köhler (German Cancer Research Center); Michael Baumgartner (German Cancer Research Center); Constantin Ulrich (German Cancer Research Center); Jens Petersen (German Cancer Research Center); Fabian Isensee (German Cancer Research Center); Klaus H. Maier-Hein (German Cancer Research Center)

Tracking the Dynamics of the Tear Film Lipid Layer

Tejasvi Kothapalli (UC Berkeley)

From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning

Pranav Kulkarni (University of Maryland), Adway Kanhere (Johns Hopkins University), Vishwa S Parekh (University of Maryland), Paul Yi (University of Maryland)