Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Analysis Theory in MRI: Learning and Evaluation Concepts

Analysis Theory in MRI: Learning and Evaluation Concepts

Weekend Course

Image Acquisition & Analysis

Saturday, 09 May 2026

Ballroom East

13:00 - 17:00

Moderators: Dong-Hyun Kim & Daniel Alexander

No CME/CE Credit

This session introduces foundational concepts in MRI analysis using classical, machine learning, and deep learning techniques. Topics include classification, segmentation, quantification, registration, and evaluation metrics. The goal is to provide attendees with a theoretical understanding to support practical MRI analysis.

Skill Level: Basic,Intermediate

13:00		The Evolving Role of Image Analysis in Clinical MRI Workflows Linda Tshili (né Hlabangana) University of Witwatersrand, South Africa
13:25		AI for Clinical Diagnosis: Classification Models Using Machine Learning and Deep Learning Cem Deniz New York University Grossman School of Medicine, New York, United States of America
13:50		Segmentation in MRI: Challenges and Solutions Julien Cohen-Adad University of Montreal, Montreal, Canada
14:15 - 14:40 — Break & Meet the Teachers
14:40		Quantification and Modeling in MRI: Concepts and Applications Ekin Karasan UC Berkeley, Berkeley, United States of America
15:05		Registration in MRI: Concepts, Challenges, and Modern Approaches Kanghyun Ryu Institute of Science and Technology, Seoul, Korea, Republic of
15:30		Evaluation Metrics and Loss Functions for MRI Analysis Tasks Veronika Spieker Helmholtz Center Munich, Munich, Germany
15:55		Panel Discussion Speaker TBA