Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11848)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: CNI 2019.
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Table of contents (13 papers)
Other volumes
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Connectomics in NeuroImaging
Keywords
- artificial intelligence
- brain connectivity
- classification
- data mining
- diffusion MRI
- feature selection
- functional MRI
- image analysis
- image processing
- image reconstruction
- image segmentation
- neural networks
- pattern recognition
- principal component analysis
- statistical methods
- support vector machines
- SVM
About this book
The 13 full papers presented were carefully reviewed and selected from 14 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.
Editors and Affiliations
Bibliographic Information
Book Title: Connectomics in NeuroImaging
Book Subtitle: Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
Editors: Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Ai Wern Chung
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-32391-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-32390-5Published: 18 October 2019
eBook ISBN: 978-3-030-32391-2Published: 10 October 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 139
Number of Illustrations: 2 b/w illustrations, 51 illustrations in colour
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Models and Principles, Computer Imaging, Vision, Pattern Recognition and Graphics