Tue 4:50 a.m. - 5:00 a.m.
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Opening Remarks
(
Talk
)
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SlidesLive Video
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Qi Dou
🔗
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Tue 5:00 a.m. - 5:30 a.m.
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Session 1 Keynote 1
(
Keynote
)
>
SlidesLive Video
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Bram van Ginneken
🔗
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Tue 5:30 a.m. - 5:45 a.m.
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Q&A with Bram Ginneken
(
Keynote Q&A
)
>
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🔗
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Tue 5:45 a.m. - 6:15 a.m.
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Session 1 Keynote 2
(
Keynote
)
>
SlidesLive Video
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Mohammad Yaqub
🔗
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Tue 6:15 a.m. - 6:30 a.m.
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Q&A with Mohammad Yaqub
(
Keynote Q&A
)
>
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🔗
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Tue 6:30 a.m. - 6:40 a.m.
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Session 1 Oral 1
(
Oral Presentation
)
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SlidesLive Video
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Francisca Vasconcelos
🔗
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Tue 6:40 a.m. - 6:45 a.m.
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Q&A with Francisca Vasconcelos
(
Oral Q&A
)
>
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🔗
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Tue 6:45 a.m. - 6:55 a.m.
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Session 1 Oral 2
(
Oral Presentation
)
>
SlidesLive Video
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Cesare Magnetti
🔗
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Tue 6:55 a.m. - 7:00 a.m.
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Q&A with Cesare Magnetti
(
Oral Q&A
)
>
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🔗
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Tue 7:00 a.m. - 8:00 a.m.
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Poster Session 1 & Coffee Break
(
Poster Session & Coffee Break
)
>
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🔗
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Tue 8:00 a.m. - 8:30 a.m.
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Session 2 Keynote 1
(
Keynote
)
>
SlidesLive Video
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Regina Barzilay
🔗
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Tue 8:30 a.m. - 8:45 a.m.
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Q&A with Regina Barzilay
(
Keynote Q&A
)
>
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🔗
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Tue 8:45 a.m. - 9:15 a.m.
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Session 2 Keynote 2
(
Keynote
)
>
SlidesLive Video
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Melissa McCradden
🔗
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Tue 9:15 a.m. - 9:30 a.m.
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Q&A with Melissa McCradden
(
Keynote Q&A
)
>
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🔗
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Tue 9:30 a.m. - 9:40 a.m.
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Session 2 Oral 1
(
Oral Presentation
)
>
SlidesLive Video
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Zhenzhen Wang
🔗
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Tue 9:40 a.m. - 9:45 a.m.
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Q&A with Zhenzhen Wang
(
Oral Q&A
)
>
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🔗
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Tue 9:45 a.m. - 9:55 a.m.
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Session 2 Oral 2
(
Oral Presentation
)
>
SlidesLive Video
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Benoit Dufumier
🔗
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Tue 9:55 a.m. - 10:00 a.m.
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Q&A with Benoit Dufumier
(
Oral Q&A
)
>
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🔗
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Tue 10:00 a.m. - 11:00 a.m.
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Poster Session 2 & Coffee Break
(
Poster Session & Coffee Break
)
>
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🔗
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Tue 11:00 a.m. - 11:30 a.m.
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Session 3 Keynote 1
(
Keynote
)
>
SlidesLive Video
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Quanzheng Li
🔗
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Tue 11:30 a.m. - 11:45 a.m.
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Q&A with Quanzheng Li
(
Keynote Q&A
)
>
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🔗
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Tue 11:45 a.m. - 12:15 p.m.
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Session 3 Keynote 2
(
Keynote
)
>
SlidesLive Video
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Archana Venkataraman
🔗
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Tue 12:15 p.m. - 12:30 p.m.
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Q&A with Archana Venkataraman
(
Keynote Q&A
)
>
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🔗
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Tue 12:30 p.m. - 12:40 p.m.
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Session 3 Oral 1
(
Oral Presentation
)
>
SlidesLive Video
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Onat Dalmaz
🔗
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Tue 12:40 p.m. - 12:45 p.m.
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Q&A with Onat Dalmaz
(
Oral Q&A
)
>
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🔗
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Tue 12:45 p.m. - 12:55 p.m.
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Session 3 Oral 2
(
Oral Presentation
)
>
SlidesLive Video
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Ahmad CHAMMA
🔗
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Tue 12:55 p.m. - 1:00 p.m.
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Q&A with Ahmad Chamma
(
Oral Q&A
)
>
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🔗
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Tue 1:00 p.m. - 2:00 p.m.
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RealNoiseMRI Challenge
(
Challenge
)
>
SlidesLive Video
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🔗
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-
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Improving the Fairness of Deep Chest X-ray Classifiers
(
Poster
)
>
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Haoran Zhang · Natalie Dullerud · Karsten Roth · Stephen Pfohl · Marzyeh Ghassemi
🔗
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-
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Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities
(
Poster
)
>
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Tianbao Yang
🔗
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-
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Complexity in Facial dynamics using Computer Vision as Behavioral Assessment for Autism Spectrum Disorder
(
Poster
)
>
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Pradeep Raj Krishnappa Babu · J. Matias Di Martino · Kimberley Carpenter · Steven Espinosa · geraldine Dawson · Guillermo Sapiro
🔗
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-
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Cross Modality 3D Navigation Using Reinforcement Learning and Neural Style Transfer
(
Poster
)
>
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Cesare Magnetti · Hadrien Reynaud · Bernhard Kainz
🔗
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-
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Predicting future myocardial infarction from angiographies with deep learning
(
Poster
)
>
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Ortal Senouf · Omar Raita · Farhang Aminfar · Denise Auberson · Nicolas Dayer · David Meier · Mattia Pagnoni · Olivier Muller · Stephane Fournier · Thabodhan Mahendiran
🔗
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-
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Automatic Distinction Between Normal and Abnormal Lung Tissue on Ultrasound Examination
(
Poster
)
>
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Blake VanBerlo · Derek Wu · Bennett VanBerlo
🔗
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-
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Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies
(
Poster
)
>
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Matthias Perkonigg · Ahmed Ba-Ssalamah · Georg Langs
🔗
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-
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Effect of pre-training scale on intra- and inter-domain transfer for natural and X-Ray chest images
(
Poster
)
>
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Mehdi Cherti · Jenia Jitsev
🔗
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-
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Diversified Multi-prototype Representation for Semi-supervised Segmentation
(
Poster
)
>
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Jizong Peng · Christian Desrosiers · Marco Pedersoli
🔗
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-
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Uncertainty Quantification in Meningioma Segmentation using Bayesian Deep Learning
(
Poster
)
>
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Aakanksha Rana · Patrick McClure · Omar Arnaout · Satra Ghosh
🔗
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-
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Electromagnetic neural source imaging under sparsity constraints with SURE-based hyperparameter tuning
(
Poster
)
>
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Pierre-Antoine Bannier · Quentin Bertrand · Joseph Salmon · Alexandre Gramfort
🔗
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-
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Evaluating saliency methods on artificial data with different background types
(
Poster
)
>
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Céline Budding · Fabian Eitel · Kerstin Ritter
🔗
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-
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Deep Active Learning for Robust Biomedical Segmentation
(
Poster
)
>
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Mustafa Arikan · Adam Dubis · Watjana Lilaonitkul
🔗
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-
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Gradient Clustering for Subtyping of Prediction Failures
(
Poster
)
>
|
11 presenters
Thomas Henn · Yasukazu Sakamoto · Clément Jacquet · Shunsuke Yoshizawa · Masamichi Andou · Stephen Tchen · Ryosuke Saga · Hiroyuki Ishihara · Katsuhiko Shimizu · Yingzhen Li · Ryutaro Tanno
🔗
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-
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Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders
(
Poster
)
>
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Dmitry Isaev · J. Matias Di Martino · Kimberley Carpenter · Guillermo Sapiro · geraldine Dawson
🔗
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-
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Explainability of Self-Supervised RepresentationLearning for Medical Ultrasound Video
(
Poster
)
>
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Kangning Zhang · Jianbo Jiao · Alison Noble
🔗
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-
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Self-Supervised Contrastive Learning for Electrocardiograms to Detect Left Ventricular Systolic Dysfunction
(
Poster
)
>
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Mitsuhiko Nakamoto · Hirotoshi Takeuchi
🔗
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-
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Attention Shift: Interpretability Study of Texture-based Data Augmentation in Training U-Net Models for Brain Image Segmentation
(
Poster
)
>
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Suhang You · Mauricio Reyes
🔗
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-
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Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina
(
Poster
)
>
|
Jan Kukačka
🔗
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-
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Deep Learning-based Opportunistic Osteoporosis Screening using Plain Film Radiography
(
Poster
)
>
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Kang Zheng · Shun Miao · Fakai Wang · Yirui Wang · Le Lu
🔗
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-
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Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
(
Poster
)
>
|
Zhenzhen Wang
🔗
|
-
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Medical Image Synthesis with Residual Vision Transformers
(
Poster
)
>
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Onat Dalmaz · Tolga Cukur · Mahmut Yurt
🔗
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-
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3-D PET Image Generation with Tumour Masks using TGAN
(
Poster
)
>
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Robert Bergen
🔗
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-
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Learning from Radiomics on Chest X-rays: Challenge and Application
(
Poster
)
>
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Yan Han · Ying Ding
🔗
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-
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Localized Perturbations For Weakly-Supervised Segmentation of Glioma Brain Tumours
(
Poster
)
>
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Sajith Rajapaksa · Farzad Khalvati
🔗
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-
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Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI —Should Different Clinical Objectives Mandate Different Loss Functions?
(
Poster
)
>
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Anindo Saha · Joran Bosma · Jasper Linmans · Matin Hosseinzadeh · Henkjan Huisman
🔗
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-
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Towards dynamic ground glass opacity and consolidation voxel classification in COVID-19 CT using Gaussian Mixture Model
(
Poster
)
>
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Constanza Vásquez-Venegas · Guillermo Cabrera-Vives · Steffen Hartel · Víctor Castañeda
🔗
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-
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Using Temporal Similarity in Contrastive Learning for Multi-class Kidney Ultrasound Segmentation
(
Poster
)
>
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Rohit Singla · Christopher Nguan · Robert Rohling
🔗
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-
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Weakly Supervised Multimodal 30-day all-cause Mortality Prediction for Pulmonary Embolism Patients
(
Poster
)
>
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Noa Cahan
🔗
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-
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Streaming Convolutional Attention Models
(
Poster
)
>
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Stephan Dooper · Geert Litjens · Johannes Pinckaers
🔗
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-
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Uncertainty Quantification in End-to-End Implicit Neural Representations for Medical Imaging
(
Poster
)
>
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Bobby He · Francisca Vasconcelos · Yee Whye Teh
🔗
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-
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Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning
(
Poster
)
>
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Partoo Vafaeikia · Matt Wagner · Brigit Ertl-Wagner · Farzad Khalvati
🔗
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-
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Severity Assessment of COVID-19 Pneumonia from Chest X-rays using Interpretable Machine Learning and a Multi-reader Dataset
(
Poster
)
>
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Mohammadreza Zandehshahvar · Yashar Kiarashinejad · Ali Adibi
🔗
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-
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PISTACHIO: Patch Importance Sampling To Accelerate CNNs via a Hash Index Optimizer
(
Poster
)
>
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Zhaozhuo Xu · Anshumali Shrivastava
🔗
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-
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Ensemble Learning for Robust Subtype Classification of COVID-19 and Semi-supervised Opacity Detection
(
Poster
)
>
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Aidyn Ubingazhibov · Zhanseri Ikram · Aslan Ubingazhibov · Miras Amir · David Gomez-Cabrero · Narsis Aftab Kiani · Jesper Tegner
🔗
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-
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Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection
(
Poster
)
>
|
Max Torop · Sandesh Ghimire · Dana H Brooks · Octavia Camps · Milind Rajadhyaksha · Kivanc Kose · Jennifer Dy
🔗
|
-
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Fusing simultaneously acquired EEG and fMRI via hierarchical deep transcoding
(
Poster
)
>
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Xueqing Liu · Paul Sajda
🔗
|
-
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Ranking Loss based Weakly Supervised Model for Prediction of HPV Infection Status from Multi-Gigapixel Histology Images
(
Poster
)
>
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Ruoyu Wang · Amina Asif · Raja Muhammad Saad Bashir · Ali Khurram · Nasir Rajpoot
🔗
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-
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Variable Importance on Medical Images and Socio-Demographic Data
(
Poster
)
>
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Ahmad CHAMMA · Denis A. Engemann · Bertrand Thirion
🔗
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-
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An Optimal Architecture for Semantic Segmentation in Multi-Gigapixel Images of Oral Dysplasia
(
Poster
)
>
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Neda Azarmehr · Adam Shephard · Nasir Rajpoot · Ali Khurram
🔗
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-
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Classification of histopathology images using ConvNets to detect Lupus Nephritis
(
Poster
)
>
|
Akash Gupta · Anirudh Reddy · C.V. Jawahar · PK Vinod
🔗
|
-
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Synthesis of Colon Cancer Tissue Images from Glandular Structure Layout
(
Poster
)
>
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Srijay Deshpande · Fayyaz Minhas · Nasir Rajpoot
🔗
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-
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3D Spinal Column Segmentation with Single Plane 2D-Projected Annotations
(
Poster
)
>
|
Rhydian Windsor · Amir Jamaludin · Timor Kadir · Andrew Zisserman
🔗
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-
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Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
(
Poster
)
>
|
Benoit Dufumier · Pietro Gori · Edouard Duchesnay · Julie Victor · Antoine Grigis
🔗
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-
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Aiding Medical Diagnosis Through the Application of Graph Neural Networks to Functional MRI Scans
(
Poster
)
>
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Katharina Zuhlsdorff · Clayton Rabideau
🔗
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-
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Ensembles of temporal models and forward-backward smoothing for surgical phase recognition
(
Poster
)
>
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Kiran Bhattacharyya · Anthony Jarc · Aneeq Zia
🔗
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-
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Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
(
Poster
)
>
|
Joseph Viviano
🔗
|
-
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Targeted Active Learning using Submodular Mutual Information for Imbalanced Medical Image Classification
(
Poster
)
>
|
Suraj Kothawade · Lakshman Tamil · Rishabh Iyer
🔗
|
-
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Towards dynamic multi-modal phenotyping using chest radiographs and physiological data
(
Poster
)
>
|
Nasir Hayat · Krzysztof Geras · Farah Shamout
🔗
|
-
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Multi-Resolution Diffeomorphic Image Registration Using Efficient Flow Field Estimation
(
Poster
)
>
|
Ankita Joshi · Yi Hong
🔗
|
-
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Explainable medical image analysis by leveraging human-interpretable features through mutual information minimization
(
Poster
)
>
|
Erick M Cobos · Thomas Kuestner · Bernhard Schölkopf · Sergios Gatidis
🔗
|
-
|
Learning to Accelerate MR Screenings
(
Poster
)
>
|
Raghav Singhal · Mukund Sudarshan · Angela Tong · Daniel Sodickson · Rajesh Ranganath
🔗
|
-
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ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets
(
Poster
)
>
|
Weijie Sun · Sunil Vasu Kalmady · Amir Salimi · Russell Greiner · Padma Kaul
🔗
|
-
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MELoDee – Multi-Exponential model Learning based on Deep Neural Networks for Quantitative MRI Bio-Markers Estimation
(
Poster
)
>
|
Shira Rotman · Onur Afacan · Sila Kurugol · Simon Warfield · Moti Freiman
🔗
|
-
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Diagnosis of Dyslexia by Mobile Gaze Tracking
(
Poster
)
>
|
Sangwon Yoon · Subeen Park · kiyoung kim
🔗
|
-
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ChestFed: Model-Contrastive Federated Learning for Cardiopulmonary Disease Classification in Chest X-rays using Multiple Datasets
(
Poster
)
>
|
Tianhao Li · Ajay Jaiswal · Justin Rousseau · Ying Ding
🔗
|
-
|
Predicting future myocardial infarction from angiographies with deep learning
(
Poster
)
>
|
Dorina Thanou · Emmanuel Abbe · Pascal Frossard
🔗
|
-
|
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
(
Poster
)
>
|
Enoch Tetteh · David Krueger · Joseph Paul Cohen · Yoshua Bengio
🔗
|