This book constitutes the thoroughly refereed post-workshop proceedings of the International
Workshop on Medical Computer Vision MCV 2016 and of the International Workshop on Bayesian
and grAphical Models for Biomedical Imaging BAMBI 2016 held in Athens Greece in October
2016 held in conjunction with the 19th International Conference on Medical Image Computing and
Computer-Assisted Intervention MICCAI 2016. The 13 papers presented in MCV workshop and the 6
papers presented in BAMBI workshop were carefully reviewed and selected from numerous
submissions. The goal of the MCV workshop is to explore the use of big data algorithms for
harvesting organizing and learning from large-scale medical imaging data sets and for
general-purpose automatic understanding of medical images. The BAMBI workshop aims to highlight
the potential of using Bayesian or random field graphical models for advancing research in
biomedical image analysis.
