MLMI2024
Overview
Machine learning plays an essential role in the medical imaging field, including computer-aided diagnosis, image segmentation, image registration, image fusion, image-guided therapy, image annotation, and image database retrieval. Machine Learning in Medical Imaging (MLMI 2024) is the 15th in a series of workshops on this topic in conjunction with MICCAI 2024 as a half-day event on October 6, 2024. This workshop focuses on major trends and challenges in this area, and it presents original work aimed to identify new cutting-edge techniques and their applications in medical imaging.
Updates:
2024-07-16: Decisions and review comments on all 100 submissions have been released to authors!
2024-06-21: Deadline for full paper submission has been extended to June 29, 2024 (Pacific Time 11:59 PM)!
2024-05-13: Paper submission entry of MLMI2024 has been opened now!
2024-03-10: MLMI 2024 website is online now!
Objective
Our goal is to advance scientific research within the broad field of machine learning in medical imaging. The technical program will consist of previously unpublished, contributed papers, with substantial time allocated to discussion. We are looking for original, high-quality submissions on innovative researches and developments in medical image analysis using machine learning techniques.
Topics
Topics of interests include but are not limited to machine learning methods (e.g., probabilistic models, deep learning, weakly supervised learning, reinforcement learning, predictive models, large language/vision models, etc.) with their applications to (but not limited) the following areas:
Image analysis of anatomical structures and lesions
Computer-aided detection/diagnosis
Multi-modality fusion for diagnosis, image analysis, and image-guided interventions
Medical image reconstruction
Medical image retrieval
Cellular image analysis
Molecular/pathologic image analysis
Dynamic, functional, and physiologic imaging