In conjunction with MICCAI 2016, Athens, Greece.

Submission system now open.

NEWS: We have arranged for a special section within an issue of the journal of Computer Methods in Biomechanics and Biomedical Engineering (CMBBE) for the top papers accepted to ML-CDS2016, based on the reviews. All papers accepted to the workshop will appear in the MICCAI workshop proceedings.

The goal of this workshop is to bring together imaging researchers and clinicians working in machine learning on multimodal data sets for clinical decision support and treatment planning to present and discuss latest developments in the field. Specifically, researchers interested in multimodal learning, biomedical imaging, medical image retrieval, data mining, text retrieval, and machine learning/AI communities will be co-located with clinicians who use computer-aided diagnosis and clinical decision support tools to not only discuss new techniques of multimodal learning but also their translation to clinical decision support in practice. We are looking for original, high-quality submissions that address innovative research and development in the learning of multimodal medical data for use in clinical decision support and treatment planning.