Schedule

Schedule 

All Times are Local Vancouver time (GMT-7)

Start End Title

13:30 13:45 Introduction & welcome

13:45 14:25 Keynote 1 - Prof. Dr. Tal Arbel, Professor of Electrical and Computer Engineering – McGill University
Talk title: Towards Safe and Trustworthy Causal Models for Image-Based Personalized Medicine

14:25 14:55 Oral session 1

• Ario Sadafi et al: A Continual Learning Approach for Cross-Domain White Blood Cell Classification

• Iaroslav Plutenko et al: Metadata Improves Segmentation Through Multitasking Elicitation

14:55 15:15 Spotlights

• Edoardo Mello Rella et al: MultiVT: Multiple-Task Framework for Dentistry

• Satoshi Kondo et al: Black-Box Unsupervised Domain Adaptation for Medical Image Segmentation

• Sarah Cechnicka et al.: Realistic Data Enrichment for Robust Image Segmentation in Kidney Transplant Pathology

• Trinh Thi Le Vuong et al.: Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images

• Levy Chaves et al.: The Performance of Transferability Metrics does not Translate to Medical Tasks

• Qi Wu et al.: Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation (presented by Marawan Elbatel)

• Tomer Bar Natan et al.: PLST: A Pseudo-Labels with a Smooth Transition Strategy for Medical Site Adaptation

• Xiao Liu et al.: Compositional Representation Learning for Brain Tumor Segmentation

• Ainkaran Santhirasekaram et al.: Hierarchical Compositionality in Hyperbolic Space for Robust Medical Image Segmentation

• Dana O Mohamed et al.: DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification

• Raza Imam et al.: SEDA: Self-Ensembling ViT with Defensive Distillation and Adversarial Training for robust Chest X-rays Classification

15:15 16:00 Poster session and coffee break

16:00 16:40 Keynote 2 - Dr. Alison Q. O’Neil, Principal Scientist – Canon Medical Research Europe
Talk title: Knowledge-driven semantic representations for predictable predictions

16:40 17:25 Oral session 2

• Sophie Loizillon et al.: Semi-supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse

• Mohammad Reza Hosseinzadeh Taher et al.: Towards Foundation Models Learned from Anatomy in Medical Imaging via Self-Supervision

• Rafsanjany Kushol et al.: Domain adaptation of MRI scanners as an alternative to MRI harmonization

17:25 17:30 Best paper award and closing remarks