GRAIL 2017 is the first international workshop on GRaphs in biomedicAl Image anaLysis, organized as a satellite event of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2017) in Quebec, Canada. With this workshop we aim to highlight the potential of using graph-based models for biomedical image analysis. Our goal is to bring together scientists that use and develop graph-based models for the analysis of biomedical images and encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts. The GRAIL proceedings contain 7 high quality papers of 8 to 11 pages that were pre-selected through a rigorous peer review process. All submissions were peer-reviewed through a double-blind process by at least 3 members of the program committee, comprising 18 experts in the field of graphs in biomedical image analysis. The accepted manuscripts cover a wide set of graph based medical image analysis methods and applications, including probabilistic graphical models, neuroimaging using graph representations, machine learning for diagnosis and disease prediction, and shape modeling.

Reviews to the papers can be accessed online at https://biomedic.doc.ic.ac.uk/miccai17-grail/