Bayesian and grAphical Models for Biomedical Imaging (Record no. 56595)

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fixed length control field 03206nam a22006135i 4500
001 - CONTROL NUMBER
control field 978-3-319-12289-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112040.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140922s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319122892
-- 978-3-319-12289-2
082 04 - CLASSIFICATION NUMBER
Call Number 005.1
245 10 - TITLE STATEMENT
Title Bayesian and grAphical Models for Biomedical Imaging
Sub Title First International Workshop, BAMBI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers /
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 131 p. 54 illus.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
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Summary, etc 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.
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General subdivision Mathematics.
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Author 2 Cardoso, M. Jorge.
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Author 2 Simpson, Ivor.
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Author 2 Arbel, Tal.
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Author 2 Precup, Doina.
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Author 2 Ribbens, Annemie.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-12289-2
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Koha item type eBooks
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-- Springer International Publishing :
-- Imprint: Springer,
-- 2014.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
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-- Algorithms.
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-- Computer science
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-- Artificial intelligence.
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-- Computer graphics.
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-- Image processing.
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-- Pattern recognition.
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-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Algorithm Analysis and Problem Complexity.
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-- Artificial Intelligence (incl. Robotics).
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-- Image Processing and Computer Vision.
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-- Pattern Recognition.
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-- Computer Graphics.
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-- Discrete Mathematics in Computer Science.
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-- 0302-9743 ;
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