Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8159)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): MBIA: International Workshop on Multimodal Brain Image Analysis
Conference proceedings info: MBIA 2013.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (24 papers)
-
Front Matter
About this book
Editors and Affiliations
-
Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, USA
Li Shen
-
Cortical Architecture Imaging and Discovery Lab, Department of Computer Science, University of Georgia, Athens, USA
Tianming Liu
-
Department of Radiology and Biomedical Research Imaging Center (BRIC), The University of North Carolina at Chapel Hill, U.S.A.
Pew-Thian Yap
-
Computer Science and Engineering, University of Texas at Arlington, Arlington, USA
Heng Huang
-
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA
Dinggang Shen
-
Surgical Planning Laboratory, BWH, Harvard Medical School, Boston, USA
Carl-Fredrik Westin
Bibliographic Information
Book Title: Multimodal Brain Image Analysis
Book Subtitle: Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013, Proceedings
Editors: Li Shen, Tianming Liu, Pew-Thian Yap, Heng Huang, Dinggang Shen, Carl-Fredrik Westin
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-02126-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2013
Softcover ISBN: 978-3-319-02125-6Published: 21 August 2013
eBook ISBN: 978-3-319-02126-3Published: 15 August 2013
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 260
Number of Illustrations: 110 b/w illustrations
Topics: Pattern Recognition, Image Processing and Computer Vision, Computer Graphics, Artificial Intelligence, Algorithm Analysis and Problem Complexity, Imaging / Radiology