Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

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.

• image analysis
• image reconstruction
• image segmentation
• artificial intelligence
• computer vision
• medical imaging
• learning systems
• classification
• image enhancement
• imaging systems
• medical images
• image registration
• probability
• segmentation methods
• Support Vector Machines (SVM)
• classifiers
• Bayesian networks
• Markov random fields
• inverse problems
• sensor data fusion

• HES-SO, Sierre, Switzerland

  Henning Müller

• Siemens AG, Munich, Germany

  B. Michael Kelm

• McGill University, Montreal, Canada

  Tal Arbel

• University of Sydney, Sydney, Australia

  Weidong Cai

• University College London, London, United Kingdom

  M. Jorge Cardoso

• Medical University of Vienna, Vienna, Austria

  Georg Langs

• Technische Universität München, Garching, Germany

  Bjoern Menze

• Rutgers The State University of New Jersey, Piscataway, USA

  Dimitris Metaxas

• University of Texas Southwestern Medical Center, Dallas, USA

  Albert Montillo

• Brigham and Women’s Hospital, Boston, USA

  William M. Wells III

• University of North Carolina at Charlotte, Charlotte, USA

  Shaoting Zhang

• The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong

  Albert C.S. Chung

• University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom

  Mark Jenkinson

• IcoMetrix, Leuven, Belgium

  Annemie Ribbens

Policies and ethics