This book constitutes the refereed proceedings of the First International Workshop on Bayesian
and grAphical Models for Biomedical Imaging BAMBI 2014 held in Cambridge MA USA in
September 2014 as a satellite event of the 17th International Conference on Medical Image
Computing and Computer Assisted Intervention MICCAI 2014. The 11 revised full papers presented
were carefully reviewed and selected from numerous submissions with a key aspect on
probabilistic modeling applied to medical image analysis. The objectives of this workshop
compared to other workshops e.g. machine learning in medical imaging have a stronger
mathematical focus on the foundations of probabilistic modeling and inference. The papers
highlight the potential of using Bayesian or random field graphical models for advancing
scientific research in biomedical image analysis or for the advancement of modeling and
analysis of medical imaging data.
