About

Overview

The rapid growth of foundation models in various domains has been transformative, bringing unprecedented capabilities and advances in automated understanding. Medical vision, a pivotal segment of computer vision, is poised to greatly benefit from these advancements. This workshop delves into the integration and application of foundation models specific to the realm of medical imaging. We will cover state-of-the-art techniques for diverse medical data, such as echocardiogram, fundus, pathology, and radiology, as well as the practical challenges of implementing these models in clinical settings. Through expert-led sessions, interactive discussions, and international competitions, we aim to offer attendees a comprehensive understanding of the potential impact foundation models could have on the future of medical diagnostics and patient care.

Schedule (Room 212)

June 11 Central Time

Time Speaker
8:25 - 8:30 Welcome and Opening Remarks
8:30 - 9:00 Jakob Nikolas Kather
AI Agents in Oncology and Cancer Research
9:00 - 09:30 Faisal Mahmood
Multimodal and Generative AI for Pathology
09:30 - 10:00 Hoifung Poon
Learning the Language of Patients: Multimodal GenAI for Precision Health
10:00 - 11:00 Coffee Break
11:00 - 11:30 Pranav Rajpurkar
Breaking Boundaries: Multimodal Foundation Models for Next-Generation Radiology
11:30 - 12:00 Daniel Rueckert
Foundation Models for Radiology
12:00 - 12:30 Segmentation Foundation Model Competition
Winner Highlights

Speakers

...

Jakob Nikolas Kather

Technical University Dresden

...

Faisal Mahmood

Harvard Medical School

...

Hoifung Poon

Microsoft

...

Pranav Rajpurkar

Harvard Medical School

...

Daniel Rueckert

Technical University of Munich and Imperial College London

Organizers

...

Jun Ma

University Health Network, Vector Institute

...

Vishal M. Patel

Johns Hopkins University

...

Yuyin Zhou

University of California, Santa Cruz

...

Bo Wang

University of Toronto, University Health Network, Vector Institute