Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10265)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): IPMI: International Conference on Information Processing in Medical Imaging
Conference proceedings info: IPMI 2017.
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Table of contents (53 papers)
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Front Matter
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Analysis on Manifolds
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Front Matter
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Shape Analysis
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Front Matter
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Disease Diagnosis/Progression
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Front Matter
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About this book
The 53 full papers presented in this volume were carefully reviewed and selected from 147 submissions. They were organized in topical sections named: analysis on manifolds; shape analysis; disease diagnosis/progression; brain networks an connectivity; diffusion imaging; quantitative imaging; imaging genomics; image registration; segmentation; general image analysis.
Editors and Affiliations
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University of North Carolina, Chapel Hill, USA
Marc Niethammer, Martin Styner, Hongtu Zhu, Pew-Thian Yap, Dinggang Shen
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Kitware Inc., Carrboro, USA
Stephen Aylward
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University of Pennsylvania, Philadelphia, USA
Ipek Oguz
Bibliographic Information
Book Title: Information Processing in Medical Imaging
Book Subtitle: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings
Editors: Marc Niethammer, Martin Styner, Stephen Aylward, Hongtu Zhu, Ipek Oguz, Pew-Thian Yap, Dinggang Shen
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-59050-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-59049-3Published: 23 May 2017
eBook ISBN: 978-3-319-59050-9Published: 06 June 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 687
Number of Illustrations: 285 b/w illustrations
Topics: Image Processing and Computer Vision, Pattern Recognition, Health Informatics, Imaging / Radiology, Artificial Intelligence, Probability and Statistics in Computer Science