Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges
This book constitutes the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction
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Mihaela Pop · Maxime Sermesant · Jichao Zhao Shuo Li · Kristin McLeod · Alistair Young Kawal Rhode · Tommaso Mansi (Eds.)
Statistical Atlases and Computational Models of the Heart Atrial Segmentation and LV Quantification Challenges 9th International Workshop, STACOM 2018 Held in Conjunction with MICCAI 2018 Granada, Spain, September 16, 2018, 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 Zurich, Zurich, 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, Chennai, 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
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More information about this series at http://www.springer.com/series/7412
Mihaela Pop Maxime Sermesant Jichao Zhao Shuo Li Kristin McLeod Alistair Young Kawal Rhode Tommaso Mansi (Eds.) •
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Statistical Atlases and Computational Models of the Heart Atrial Segmentation and LV Quantification Challenges 9th International Workshop, STACOM 2018 Held in Conjunction with MICCAI 2018 Granada, Spain, September 16, 2018 Revised Selected Papers
123
Editors Mihaela Pop University of Toronto Toronto, ON, Canada
Kristin McLeod GE Healthcare Oslo, Norway
Maxime Sermesant Inria, Epione Group Sophia-Antipolis, France
Alistair Young King’s College London London, UK
Jichao Zhao Auckland University Auckland, New Zealand
Kawal Rhode King’s College London London, UK
Shuo Li University of Western Ontario London, ON, Canada
Tommaso Mansi Siemens Medical Solutions USA, Inc. Princeton, NJ, USA
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-12028-3 ISBN 978-3-030-12029-0 (eBook) https://doi.org/10.1007/978-3-030-12029-0 Library of Congress Control Number: 2019931002 LNCS Sublibrary: SL6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics © Springer Nature Switzerland AG 2019 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, th
