Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8682)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): STIA: International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data
Conference proceedings info: STIA 2014.
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Table of contents (7 papers)
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Front Matter
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Longitudinal Registration and Shape Modeling
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Front Matter
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Longitudinal Modeling
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Front Matter
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Reconstruction from Longitudinal Data
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Front Matter
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4D Image Processing
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Front Matter
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Back Matter
Other Volumes
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Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data
About this book
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2014, held in conjunction with MICCAI 2014 in Boston, MA, USA, in September 2014.
The 7 papers presented in this volume were carefully reviewed and selected from 15 submissions. They are organized in topical sections named: longitudinal registration and shape modeling, longitudinal modeling, reconstruction from longitudinal data, and 4D image processing.
Keywords
- 4D Image Processing
- Brain Imaging
- Diffeomorphic
- FFD
- Growth Model
- Image Analysis
- Image Registration
- Inverse Consistent
- Longitudinal Modeling
- Longitudinal Registration
- MRI
- Medical Image Analysis
- Multimodal Data
- Neonatal Brain Atlas
- Parametric
- Reconstruction from Longitudinal Data
- Shape Modeling
- Statistical Data Analysis
- Symmetric
- Timer-series Modeling
Editors and Affiliations
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INRIA, Institut du Cerveau et de la Moelle Épinière, Paris, France
Stanley Durrleman
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University of Utah, Salt Lake City, USA
Tom Fletcher, Guido Gerig
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University of North Carolina at Chapel Hill, Chapel Hill, USA
Marc Niethammer
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INRIA Sophia, Asclepios Team, Sophia-Antipolis Cedex, France
Xavier Pennec
Bibliographic Information
Book Title: Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data
Book Subtitle: Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers
Editors: Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer, Xavier Pennec
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-14905-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-14904-2Published: 10 February 2015
eBook ISBN: 978-3-319-14905-9Published: 02 January 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 89
Number of Illustrations: 35 b/w illustrations
Topics: Image Processing and Computer Vision, Artificial Intelligence, Computer Graphics, Algorithm Analysis and Problem Complexity, Imaging / Radiology