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OverviewThis 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. Full Product DetailsAuthor: M. Jorge Cardoso , Ivor Simpson , Tal Arbel , Doina PrecupPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 2014 ed. Volume: 8677 Dimensions: Width: 15.50cm , Height: 0.80cm , Length: 23.50cm Weight: 2.292kg ISBN: 9783319122885ISBN 10: 3319122886 Pages: 131 Publication Date: 02 October 2014 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |