Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8896)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): STACOM: International Workshop on Statistical Atlases and Computational Models of the Heart
Conference proceedings info: STACOM 2014.
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Table of contents (30 papers)
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Front Matter
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MoCo (Motion Correction) Challenge
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Front Matter
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LV mechanics Challenge
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Front Matter
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Other Volumes
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Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges
About this book
Editors and Affiliations
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University Pompeu Fabra, Barcelona, Spain
Oscar Camara
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Siemens Corporate Technology, Princeton, USA
Tommaso Mansi
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Sunnybrook Research Institute, Toronto, Canada
Mihaela Pop
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St. Thomas Hospital, London, United Kingdom
Kawal Rhode
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Inria, Sophia Antipolis, France
Maxime Sermesant
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University of Auckland, Auckland, New Zealand
Alistair Young
Bibliographic Information
Book Title: Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges
Book Subtitle: 5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers
Editors: Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, Maxime Sermesant, Alistair Young
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-14678-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-14677-5Published: 15 January 2015
eBook ISBN: 978-3-319-14678-2Published: 31 December 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 296
Number of Illustrations: 134 b/w illustrations
Topics: Image Processing and Computer Vision, Health Informatics, Simulation and Modeling, Probability and Statistics in Computer Science, Pattern Recognition, Cardiology