Editors:
Fast track conference proceedings
Unique visibility
State of the art research
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7012)
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 2011.
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Table of contents (19 papers)
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Front Matter
About this book
The 15 revised full papers presented together with 4 poster papers were carefully reviewed and selected from 24 submissions. The objective of this workshop is to facilitate advancements in the multimodal brain image analysis field, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.
Keywords
- MRI
- biological parametric mapping
- brain model
- neuroimaging
- tissue segmentation
- algorithm analysis and problem complexity
Editors and Affiliations
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Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, USA
Tianming Liu
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School of Medicine, Department of Radiology and Biomedical Research Imaging Center, University of North Carolina, Chapel Hill, USA
Dinggang Shen
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Kitware Inc., Clifton Park, USA
Luis Ibanez
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General Electric Research Center, Niskayuna, USA
Xiaodong Tao
Bibliographic Information
Book Title: Multimodal Brain Image Analysis
Book Subtitle: First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011, Proceedings
Editors: Tianming Liu, Dinggang Shen, Luis Ibanez, Xiaodong Tao
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-24446-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2011
Softcover ISBN: 978-3-642-24445-2Published: 15 September 2011
eBook ISBN: 978-3-642-24446-9Published: 25 September 2011
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 162
Topics: Automated Pattern Recognition, Computer Vision, Computer Graphics, Artificial Intelligence, Algorithms, Radiology