ISMRM25 - Image Analysis: How To Surf the AI Wave

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

Image Analysis: How To Surf the AI Wave

Weekend Course

ORGANIZERS: Akshay Chaudhari, Tolga Cukur, Yogesh Rathi, Gary Zhang

Saturday, 10 May 2025

311

13:00 - 17:00

Moderators: Mingming Wu & Mahmut Yurt

Skill Level: Basic to Advanced

Session Number: WE-13

No CME/CE Credit

Session Number: WE-13

Overview
This weekend session focuses on classical and transpiring AI techniques for image analysis tasks in MRI. The session will include spatial-temporal registration, tissue segmentation, disease classification and pathology/anomaly detection tasks. Conventional methods and new deep learning models will be comparatively surveyed to highlight their benefits in addressing these tasks.

Target Audience
Scientists, technologists, and clinicians interested in advanced image analysis techniques.

Educational Objectives
As a result of attending this course, participants should be able to:
• Describe the fundamentals and clinical applications of image analysis tasks such as registration, segmentation, and classification;
• List prominent examples of traditional and AI methods for performing image analysis tasks;
• Discuss practical issues related to algorithmic biases in AI models trained for image analysis; and
• Discuss practical issues related to performing AI-based image analysis across large-scale multi-site datasets with heterogeneous data distribution.

13:00		Clinical Role of Image Analysis in Radiological Workflows Yvonne Lui
13:30		Primer on Machine Learning Techniques Mathews Jacob
14:00		Registration: Fundamentals & Advanced AI Methods View Presentation Video Wei Shao Impact: This talk covers core principles and recent advances in medical image registration, from traditional methods to deep learning-based models. It highlights clinical applications and explores future directions for robust, efficient, and generalizable solutions.
14:30		Segmentation: Fundamentals & Advanced AI Methods View Presentation Video Julien Cohen-Adad Impact: Key challenges of medical image segmentation: improving reusability, managing multi-site data, and monitoring deployed models to detect drift and forgetting. Practical solutions include BIDS, DataLad, and CI tools for segmentation robustness.
15:00		Break & Meet the Teachers
15:30		Estimation/Classification: Fundamentals & Advanced AI Methods View Presentation Video Cem Deniz Impact: This presentation explores how artificial intelligence is transforming MRI-based estimation and classification tasks. We will cover basic concepts and move towards advanced techniques highlighting key applications.
16:00		Emerging Machine Learning Methods for Data Analysis Simon Warfield
16:30		Practical Considerations for Implementing AI-Based Analysis View Presentation Video Amine Korchi Impact: This session will explore the key technical and practical challenges of integrating AI-based image analysis into radiology workflows. This talk aims to provide a realistic, practice-driven perspective on the adoption and long-term sustainability of AI in radiology.