17th International Conference on Machine Learning in Medical Imaging
About This Conference
The 17th International Conference on Machine Learning in Medical Imaging (MLMI) is a satellite workshop of MICCAI dedicated exclusively to the application of machine learning to the analysis of medical images. In seventeen editions, MLMI has become one of the most focused and productive venues at the intersection of deep learning and clinical imaging.
Research topics include supervised and self-supervised learning for radiology and pathology images, generative models for data augmentation, multi-modal image fusion, uncertainty quantification in AI diagnostics, and federated learning for privacy-sensitive clinical data. Medical imaging researchers, radiologists, pathologists, and AI engineers working on clinical image analysis will find MLMI essential. The workshop consistently highlights work that has the potential to directly improve diagnostic accuracy and patient outcomes.
Research topics include supervised and self-supervised learning for radiology and pathology images, generative models for data augmentation, multi-modal image fusion, uncertainty quantification in AI diagnostics, and federated learning for privacy-sensitive clinical data. Medical imaging researchers, radiologists, pathologists, and AI engineers working on clinical image analysis will find MLMI essential. The workshop consistently highlights work that has the potential to directly improve diagnostic accuracy and patient outcomes.
Details
Start Date
Sep 27, 2026
End Date
Sep 27, 2026
Format
In-Person
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