Orals

Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer
Cesare Magnetti (Imperial College London)*; Hadrien Reynaud (Imperial College London); Bernhard Kainz (Imperial College London, FAU Erlangen-Nürnberg)

Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
Zhenzhen Wang (Johns Hopkins University)*

Medical Image Synthesis with Residual Vision Transformers
Onat Dalmaz (Bilkent University)*; Tolga Cukur (Bilkent University); Mahmut Yurt (Bilkent University)

Uncertainty Quantification in End-to-End Implicit Neural Representations for Medical Imaging
Bobby He (University of Oxford)*; Francisca Vasconcelos (University of Oxford); Yee Whye Teh (University of Oxford)

Variable Importance on Medical Images and Socio-Demographic Data
Ahmad CHAMMA (Inria)*; Denis-Alexander Engemann (INRIA); Bertrand Thirion (Inria Saclay–lle-de-France)

Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Benoit Dufumier (CEA Saclay)*; Pietro Gori (Télécom Paris); Edouard Duchesnay (Paris-Saclay University); Julie Victor (CEA Saclay); Antoine Grigis (CEA Saclay)

Poster Session I

Uncertainty Quantification in End-to-End Implicit Neural Representations for Medical Imaging
Bobby He (University of Oxford)*; Francisca Vasconcelos (University of Oxford); Yee Whye Teh (University of Oxford)

Variable Importance on Medical Images and Socio-Demographic Data
Ahmad CHAMMA (Inria)*; Denis-Alexander Engemann (INRIA); Bertrand Thirion (Inria Saclay–lle-de-France)

Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Benoit Dufumier (CEA Saclay)*; Pietro Gori (Télécom Paris); Edouard Duchesnay (Paris-Saclay University); Julie Victor (CEA Saclay); Antoine Grigis (CEA Saclay)

Weakly Supervised Multimodal 30-day all-cause Mortality Prediction for Pulmonary Embolism Patients
Noa Cahan (Tel Aviv University)*; Edith M. Marom; Shelly Soffer; Yiftach Barash; Eli Konen; Eyal Klang; Hayit Greenspan

Streaming Convolutional Attention Models
Stephan Dooper (Radboud University Medical Center)*; Geert Litjens (Radboud Univ. Medical Ctr.); Hans Pinckaers (Radboudumc)

Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning
Partoo Vafaeikia (University of Toronto); Matt Wagner (The Hospital for Sick Children); Uri Tabori (The Hospital for Sick Children); Brigit Ertl-Wagner (The Hospital for Sick Children); Farzad Khalvati (University of Toronto)*

Severity Assessment of COVID-19 Pneumonia from Chest X-rays using Interpretable Machine Learning and a Multi-reader Dataset
Mohammadreza Zandehshahvar (Georgia Institute of Technology)*; Marly van Assen (Emory University); Yashar Kiarashinejad (Georgia Institute of Technology ); Timothy Arleo (Emory University); Arthur Stillman (Emory University); Peter Filev (Emory University); Amir Davarpanah (Emory University); Eugene Berkowitz (Emory University); Stefan Tigges (Emory University); Scott Lee (Emory University); Brianna Vey (Emory University); Carlo De Cecco (Emory University); Ali Adibi (Georgia Tech)

PISTACHIO: Patch Importance Sampling To Accelerate CNNs via a Hash Index Optimizer
Zhaozhuo Xu (Rice University)*; Zichang Liu (Rice University); Mauricio Araya (Total Energies); Anshumali Shrivastava (Rice University)

Ensemble Learning for Robust Subtype Classification of COVID-19 and Semi-supervised Opacity Detection
Aidyn Ubingazhibov (Nazarbayev University)*; Zhanseri Ikram (BTS Digital); Aslan Ubingazhibov (Higher School of Economics); Miras Amir (MSU); David Gomez-Cabrero (KAUST); Narsis A. Kiani (Karolinska Institute); Jesper Tegner (KAUST)

Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection
Max Torop (Northeastern University)*; Sandesh Ghimire (Northeastern University); Wenqian Liu (Northeastern University); Dana Brooks (Northeastern University); Octavia Camps (Northeastern University); Milind Rajadhyaksha (Memorial Sloan Kettering Cancer Center); Kivanc Kose (Memorial Sloan Kettering Cancer Center); Jennifer Dy (Northeastern)

Fusing simultaneously acquired EEG and fMRI via hierarchical deep transcoding
Xueqing Liu (Columbia University)*; Paul Sajda (Columbia University)

Ranking Loss based Weakly Supervised Model for Prediction of HPV Infection Status from Multi-Gigapixel Histology Images
Ruoyu Wang (University of Warwick)*; Amina Asif (University of Warwick); Saad Bashir (University of Warwick); Lawrence Young (University of Warwick); Ali Khurram (University of Sheffield); Nasir Rajpoot (University of Warwick)

An Optimal Architecture for Semantic Segmentation in Multi-Gigapixel Images of Oral Dysplasia
Neda Azarmehr (The University of Sheffield)*; Adam J Shephard (University of Warwick); Nasir Rajpoot (University of Warwick); Ali Khurram (University of Sheffield)

Classification of histopathology images using ConvNets to detect Lupus Nephritis
Akash Gupta (New York University)*; Anirudh Reddy (International Institute of Information Technology, Hyderabad); C.V. Jawahar (IIIT-Hyderabad); PK Vinod (IIIT Hyderabad)

Synthesis of Colon Cancer Tissue Images from Glandular Structure Layout
Srijay Deshpande (University of Warwick)*; Fayyaz Minhas (Fayyaz.Minhas@warwick.ac.uk); Nasir Rajpoot (University of Warwick)

3D Spinal Column Segmentation with Single Plane 2D-Projected Annotations
Rhydian L Windsor (University of Oxford)*; Amir Jamaludin (University of Oxford); Timor Kadir (Plexalis); Andrew Zisserman (University of Oxford)

Aiding Medical Diagnosis Through the Application of Graph Neural Networks to Functional MRI Scans
Katharina Zuhlsdorff (University Of Cambridge)*; Clayton Rabideau (Syntensor)

Ensembles of temporal models and forward-backward smoothing for surgical phase recognition
Kiran Bhattacharyya (Intuitive Surgical)*; Anthony Jarc (Intuitive Surgical Inc.); Aneeq Zia (Georgia Institute of Technology)

Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
Enoch Tetteh (MILA - Quebec AI Institute)*; Joseph Viviano (MILA - Quebec AI Institute); Yoshua Bengio (Mila); David Krueger (Mila, Université de Montréal); Joseph Paul Cohen (Stanford University)

Targeted Active Learning using Submodular Mutual Information for Imbalanced Medical Image Classification
Suraj Kothawade (UT Dallas)*; Lakshman Tamil (The University of Texas at Dallas); Rishabh Iyer (University of Texas at Dallas)

Towards dynamic multi-modal phenotyping using chest radiographs and physiological data
Nasir Hayat (NYUAD)*; Krzysztof Geras (NYU); Farah E Shamout (New York University)

Multi-Resolution Diffeomorphic Image Registration Using Efficient Flow Field Estimation
Ankita P Joshi (University of Georgia, Athens); Yi Hong (Shanghai Jiao Tong University)*

Explainable medical image analysis by leveraging human-interpretable features through mutual information minimization
Erick M Cobos (Max Planck Institute for Intelligent Systems); Thomas Kuestner (University Hospital of Tuebingen); Bernhard Schölkopf (MPI for Intelligent Systems, Tübingen); Sergios Gatidis (University of Tübingen)*

Learning to Accelerate MR Screenings
Raghav Singhal (New York University)*; Mukund Sudarshan (New York University); Luke Ginnochio (NYU Langone Health); Angela Tong (New York University); Hersh Chandarana (New York University); Daniel Sodickson (Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University School of Medicine); Rajesh Ranganath (New York University); Sumit Chopra (NYU)

ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets
Weijie Sun (Canadian VIGOUR Centre, University of Alberta); Sunil Vasu Kalmady (Canadian VIGOUR Centre, University of Alberta)*; Amir S Salimi (University of Alberta); Nariman Sepehrvand (Canadian VIGOUR Centre, University of Alberta ); Eric Ly (Canadian VIGOUR Centre, University of Alberta); Abram Hindle (University of Alberta); Russell Greiner (U Alberta); Padma Kaul (University of Alberta)

MELoDee – Multi-Exponential model Learning based on Deep Neural Networks for Quantitative MRI Bio-Markers Estimation
Shira Rotman (Technion)*; Onur Afacan (Boston Children's Hospital and Harvard Medical School); Sila Kurugol (Boston Children's Hospital and Harvard Medical School); Simon K Warfield (Harvard University); Moti Freiman (Technion - Israel Institute of Technology)

Diagnosis of Dyslexia by Mobile Gaze Tracking
Sangwon Yoon (Artificial Society Inc.)*; Subeen Park (Artificial Society); kiyoung kim (Artificial society)

ChestFed: Model-Contrastive Federated Learning for Cardiopulmonary Disease Classification in Chest X-rays using Multiple Datasets
Tianhao Li (The University of Texas at Austin)*; Cyprian Zander (High School); Ajay Jaiswal (UT Austin); Justin F Rousseau (Dell Medical School at University of Texas at Austin); Ying Ding (University of Texas at Austin)

Poster Session II

Using Temporal Similarity in Contrastive Learning for Multi-class Kidney Ultrasound Segmentation
Rohit Singla ()*; Cailin Ringstrom (University of British Columbia); Victoria Lessoway (University of British Columbia); Jan Reid (University of British Columbia); Christopher Nguan (University of British Columbia); Robert Rohling (University of British Columbia)

Towards dynamic ground glass opacity and consolidation voxel classification in COVID-19 CT using Gaussian Mixture Model
Constanza Vásquez-Venegas (University of Concepción)*; Guillermo Cabrera-Vives (University of Concepción); Steffen Hartel (Universidad de Chile); Camilo Sotomayor (Clinical Hospital University of Chile); Gonzalo Pereira (Clinical Hospital University of Chile); Víctor Castañeda (Universidad de Chile); Ricardo Jara (Universidad de Chile); Valentina Fuentealba (University of Concepción)

Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI —Should Different Clinical Objectives Mandate Different Loss Functions?
Anindo Saha (Radboud University Medical Center)*; Joran Bosma (Radboudumc); Jasper Linmans (RadboudUMC); Matin Hosseinzadeh (Radboud University Medical Center); Henkjan Huisman (Radboudumc)

Localized Perturbations For Weakly-Supervised Segmentation of Glioma Brain Tumours
Sajith M Rajapaksa (University of Toronto); Farzad Khalvati (University of Toronto)*

Learning from Radiomics on Chest X-rays: Challenge and Application
Yan Han (UT Austin)*; Ying Ding (University of Texas at Austin)

3-D PET Image Generation with Tumour Masks using TGAN
Robert Bergen (University of British Columbia)*

Medical Image Synthesis with Residual Vision Transformers
Onat Dalmaz (Bilkent University)*; Tolga Cukur (Bilkent University); Mahmut Yurt (Bilkent University)

Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
Zhenzhen Wang (Johns Hopkins University)*

Deep Learning-based Opportunistic Osteoporosis Screening using Plain Film Radiography
Kang Zheng (PAII Inc.)*; Shun Miao (PAII); Fakai Wang (University of Maryland, College Park); Yirui Wang (PAII Inc.); Le Lu (PAII Inc.)

Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina
Jan Kukacka (Helmholtz-Zentrum München)*; Anja Zenz (Helmholtz-Zentrum München); Marcel Kollovieh (Helmholtz-Zentrum München); Dominik Jüstel (Helmholtz-Zentrum München); Vasilis Ntziachristos (Helmholtz-Zentrum München)

Attention Shift: Interpretability Study of Texture-based Data Augmentation in Training U-Net Models for Brain Image Segmentation
Suhang You (ARTORG University of Bern)*; Mauricio Reyes (University of Bern)

Self-Supervised Contrastive Learning for Electrocardiograms to Detect Left Ventricular Systolic Dysfunction
Mitsuhiko Nakamoto (The University of Tokyo)*; Satoshi Kodera (The University of Tokyo); Hirotoshi Takeuchi (The University of Tokyo); Shinnosuke Sawano (The University of Tokyo); Susumu Katushika (The University of Tokyo); Issei Komuro (The University of Tokyo )

Explainability of Self-Supervised RepresentationLearning for Medical Ultrasound Video
Kangning Zhang (University of Oxford)*; Jianbo Jiao (University of Oxford); Alison Noble (University of Oxford)

Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders
Dmitry Yu Isaev (Duke University)*; J. Matias Di Martino (Duke); Rachel Aiello (Duke University); Kimberley Carpenter (Duke University); Scott Compton (Duke University); Naomi Davis (Duke University); Lauren Franz (Duke University); Scott Kollins (Duke University); Marina Spanos (Duke University); Guillermo Sapiro (Duke University); Maura Sabatos-DeVito (Duke University); Geraldine Dawson (Duke University)

Gradient Clustering for Subtyping of Prediction Failures
Thomas Henn (Rokken)*; Yasukazu Sakamoto (Terumo); Clément Jacquet (Rokken); Shunsuke Yoshizawa (Terumo); Masamichi Andou (Terumo); Stephen Tchen (Rokken); Ryosuke Saga (Rokken); Hiroyuki Ishihara (Terumo); Katsuhiko Shimizu (Terumo); Yingzhen Li (Imperial College London); Ryutaro Tanno (University College London)

Deep Active Learning for Robust Biomedical Segmentation
Mustafa Arikan (University College London)*; Ferenc Sallo (Hopital Ophtalmique Jules-Gonin); Andrea Montesel (Hopital Ophtalmique Jules-Gonin); Hend Ahmed (University College London); Ahmed Hagag (Moorfields Eye Hospital NHS Foundation Trust); Marius Book (St. Franziskus-Hospital Münster); Hendrik Faatz (St. Franziskus-Hospital Münster); Maria Cicinelli (Northwestern University); Sepehr Meshkinfamfard (University College London); Sevim Ongun (University College London); Adam Dubis (University College London); Watjana Lilaonitkul (University College London)

Evaluating saliency methods on artificial data with different background types
Céline Budding (Eindhoven University of Technology)*; Fabian Eitel (Charité – Universitätsmedizin Berlin); Kerstin Ritter (Charité – Universitätsmedizin Berlin); Stefan Haufe (Technische Universität Berlin)

Electromagnetic neural source imaging under sparsity constraints with SURE-based hyperparameter tuning
Pierre-Antoine Bannier (INRIA)*; Quentin Bertrand (INRIA); Joseph Salmon (Université de Montpellier); Alexandre Gramfort (Inria)

Uncertainty Quantification in Meningioma Segmentation using Bayesian Deep Learning
Aakanksha Rana (MIT)*; Patrick McClure (National Institutes of Health); Hoda Rajaei (MIT); Alessandro Boaro (University of Verona); Omar Arnaout (BWH); Satrajit S Ghosh (MIT)

Diversified Multi-prototype Representation for Semi-supervised Segmentation
Jizong Peng (ETS)*; Christian Desrosiers (ETS, Canada); Marco Pedersoli (École de technologie supérieure)

Effect of pre-training scale on intra- and inter-domain transfer for natural and X-Ray chest images
Mehdi Cherti (Jülich Supercomputing Centre (JSC)); Jenia Jitsev (Juelich Supercomputing Center (JSC))*

Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies
Matthias Perkonigg (Medical University of Vienna)*; Peter Mesenbrink (Novartis Pharmaceuticals Corporation); Miljen Martic (Novartis Pharmaceuticals Corporation); Alexander Goehler (Novartis Pharmaceuticals Corporation); Ahmed Ba-Ssalamah (Medical University of Vienna); Georg Langs (Wien)

Automatic Distinction Between Normal and Abnormal Lung Tissue on Ultrasound Examination
Blake VanBerlo (David R. Cheriton School of Computer Science, University of Waterloo)*; Derek Wu (London Health Sciences Centre); Jared Tschirhart (Schulich School of Medicine and Dentistry, Western University); Alex Ford (Lawson Health Research Institute); Jordan Ho (Schulich School of Medicine and Dentistry, Western University); Joseph McCauley (Faculty of Engineering, University of Waterloo); Benjamin Wu (Lawson Health Research Institute); Jason Deglint (David R. Cheriton School of Computer Science, University of Waterloo); Rushil Chaudhary (Schulich School of Medicine and Dentistry, Western University); Chintan Dave ( Schulich School of Medicine and Dentistry, Western University); Bennett J.L. VanBerlo (Deep Breathe); John Basmaji (Medicine, Schulich School of Medicine and Dentistry, Western University); Scott Millington (Critical Care Medicine, Faculty of Medicine, University of Ottawa); Robert Arntfield (Critical Care Medicine, Schulich School of Medicine and Dentistry, Western University)

Predicting future myocardial infarction from angiographies with deep learning
Dorina Thanou (EPFL)*; Ortal Senouf (EPFL); Omar Raita (EPFL); Emmanuel Abbe (EPFL); Pascal Frossard (EPFL); Farhang Aminfar (CHUV); Denise Auberson (CHUV); Nicolas Dayer (CHUV); David Meier (CHUV); Mattia Pagnoni (CHUV); Olivier Muller (CHUV); Stephane Fournier (CHUV); Thabodhan Mahendiran (CHUV)

Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer
Cesare Magnetti (Imperial College London)*; Hadrien Reynaud (Imperial College London); Bernhard Kainz (Imperial College London, FAU Erlangen-Nürnberg)

Complexity in Facial dynamics using Computer Vision as Behavioral Assessment for Autism Spectrum Disorder
Pradeep Raj Krishnappa Babu (Duke University)*; J. Matias Di Martino (Duke); Zhuoqing Chang (Duke University); Sam Perochon (Duke University); Kimberley Carpenter (Duke University); Scott Compton (Duke University); Steven Espinosa (Duke University); Geraldine Dawson (Duke University); Guillermo Sapiro (Duke University)

Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities
Tianbao Yang (University of Iowa)*

Improving the Fairness of Deep Chest X-ray Classifiers
Haoran Zhang (Massachusetts Institute of Technology)*; Natalie Dullerud (University of Toronto, Vector Institute); Karsten Roth (Heidelberg University); Stephen R Pfohl (Stanford University); Marzyeh Ghassemi (University of Toronto, Vector Institute)