Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12474)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): ShapeMI: International Workshop on Shape in Medical Imaging
Conference proceedings info: ShapeMI 2020.
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Table of contents (12 papers)
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Front Matter
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Learning
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Front Matter
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Applications
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Front Matter
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Back Matter
About this book
This book constitutes the proceedings of the International Workshop on Shape in Medical Imaging, ShapeMI 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer Assistend Intervention, MICCAI 2020, in October 2020. The conference was planned to take place in Lima, Peru, but changed to a virtual format due to the COVID-19 pandemic.
The 12 full papers included in this volume were carefully reviewed and selected from 18 submissions. They were organized in topical sections named: methods; learning; and applications.
Keywords
- artificial intelligence
- bioinformatics
- computer vision
- computerized tomography
- content based retrieval
- correlation analysis
- image analysis
- image processing
- image reconstruction
- machine learning
- medical images
- medical imaging
- network protocols
- neural networks
- pattern recognition
- shape analysis
- shape modelling
Editors and Affiliations
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Harvard Medical School, Boston, USA
Martin Reuter
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Klinikum der Universität München, LMU München, München, Germany
Christian Wachinger
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Inria Sophia-Antipolis, Valbonne, France
Hervé Lombaert
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University of North Carolina at Chapel Hill, Kitware Inc., Carrboro, USA
Beatriz Paniagua
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ETH Zurich, Zürich, Switzerland
Orcun Goksel
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Istanbul Technical University, Istanbul, Turkey
Islem Rekik
Bibliographic Information
Book Title: Shape in Medical Imaging
Book Subtitle: International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings
Editors: Martin Reuter, Christian Wachinger, Hervé Lombaert, Beatriz Paniagua, Orcun Goksel, Islem Rekik
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-61056-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-61055-5Published: 03 October 2020
eBook ISBN: 978-3-030-61056-2Published: 02 October 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VIII, 156
Number of Illustrations: 11 b/w illustrations, 61 illustrations in colour
Topics: Image Processing and Computer Vision, Computer Applications, Machine Learning, Special Purpose and Application-Based Systems, Pattern Recognition
