Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Joints
Quantifying shape variations in articulated joints is of utmost interest to understand the underlying joint biomechanics and associated clinical symptoms. For joint comparisons and analysis, the relative positions of the bones can confound subsequent anal
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Martin Reuter · Christian Wachinger · Hervé Lombaert · Beatriz Paniagua · Orcun Goksel · Islem Rekik (Eds.)
Shape in Medical Imaging International Workshop, ShapeMI 2020 Held in Conjunction with MICCAI 2020 Lima, Peru, October 4, 2020, Proceedings
Lecture Notes in Computer Science Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA
Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA
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More information about this series at http://www.springer.com/series/7412
Martin Reuter Christian Wachinger Hervé Lombaert Beatriz Paniagua Orcun Goksel Islem Rekik (Eds.) •
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Shape in Medical Imaging International Workshop, ShapeMI 2020 Held in Conjunction with MICCAI 2020 Lima, Peru, October 4, 2020 Proceedings
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Editors Martin Reuter Harvard Medical School Boston, USA German Center for Neurodegenerative Diseases Bonn, Germany Hervé Lombaert Inria Sophia-Antipolis Valbonne, France ETS Montreal Montréal, QC, Canada
Christian Wachinger Klinikum der Universität München LMU München München, Germany Beatriz Paniagua University of North Carolina at Chapel Hill Kitware Inc. Carrboro, NC, USA Islem Rekik Istanbul Technical University Istanbul, Turkey
Orcun Goksel ETH Zurich Zürich, Switzerland
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-61055-5 ISBN 978-3-030-61056-2 (eBook) https://doi.org/10.1007/978-3-030-61056-2 LNCS Sublibrary: SL6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics © Springer Nature Switzerland AG 2020 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 protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer
