Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges
This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2014, held in conjunction with MICCAI 2014,
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Oscar Camara · Tommaso Mansi Mihaela Pop · Kawal Rhode Maxime Sermesant · Alistair Young (Eds.)
Statistical Atlases and Computational Models of the Heart Imaging and Modelling Challenges 5th International Workshop, STACOM 2014 Held in Conjunction with MICCAI 2014 Boston, MA, USA, September 18, 2014 Revised Selected Papers
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Lecture Notes in Computer Science Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen
Editorial Board David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zürich, Zürich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/7412
Oscar Camara · Tommaso Mansi Mihaela Pop · Kawal Rhode Maxime Sermesant · Alistair Young (Eds.)
Statistical Atlases and Computational Models of the Heart Imaging and Modelling Challenges 5th International Workshop, STACOM 2014 Held in Conjunction with MICCAI 2014 Boston, MA, USA, September 18, 2014 Revised Selected Papers
ABC
Editors Oscar Camara University Pompeu Fabra Barcelona Spain
Kawal Rhode St. Thomas Hospital London United Kingdom Maxime Sermesant Inria Sophia Antipolis France
Tommaso Mansi Siemens Corporate Technology Princeton New Jersey USA
Alistair Young University of Auckland Auckland New Zealand
Mihaela Pop Sunnybrook Research Institute Toronto Ontario Canada
ISSN 0302-9743 Lecture Notes in Computer Science ISBN 978-3-319-14677-5 DOI 10.1007/978-3-319-14678-2
ISSN 1611-3349
(electronic)
ISBN 978-3-319-14678-2
(eBook)
Library of Congress Control Number: 2014959857 LNCS Sublibrary: SL 6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics Springer Cham Heidelberg New York Dordrecht London c Springer International Publishing Switzerland 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protectiv
