Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10511)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): CNI: International Workshop on Connectomics in Neuroimaging
Conference proceedings info: CNI 2017.
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Table of contents (19 papers)
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Front Matter
About this book
This book constitutes the refereed proceedings of the First International Workshop on Connectomics in NeuroImaging, CNI 2017, held in conjunction with MICCAI 2017 in Quebec City, Canada, in September 2017.
The 19 full papers presented were carefully reviewed and selected from 26 submissions. The papers deal with new advancements in network construction, analysis, and visualization techniques in connectomics and their use in clinical diagnosis and group comparison studies as well as in various neuroimaging applications.
Keywords
- architecture
- artificial intelligence
- classification
- classification accuracy
- classifiers
- cluster analysis
- computational geometry
- computer graphics
- feature selection
- graph theory
- image processing
- learning systems
- machine learning
- machine learning techniques
- neural networks
- pattern recognition
- signal processing
- Support Vector Machines (SVM)
- telecommunication networks
- wireless telecommunication systems
Editors and Affiliations
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University of North Carolina at Chapel Hill, Chapel Hill, USA
Guorong Wu
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Wake Forest School of Medicine, Winston-Salem, USA
Paul Laurienti
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Medical University of South Carolina, Charleston, USA
Leonardo Bonilha
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College of Charleston, Charleston, USA
Brent C. Munsell
Bibliographic Information
Book Title: Connectomics in NeuroImaging
Book Subtitle: First International Workshop, CNI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings
Editors: Guorong Wu, Paul Laurienti, Leonardo Bonilha, Brent C. Munsell
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-67159-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-67158-1Published: 02 September 2017
eBook ISBN: 978-3-319-67159-8Published: 03 September 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VIII, 171
Number of Illustrations: 67 b/w illustrations
Topics: Image Processing and Computer Vision, Artificial Intelligence, Computer Graphics, Pattern Recognition, Computer Systems Organization and Communication Networks, Discrete Mathematics in Computer Science