Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11083)
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 2018.
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About this book
This book constitutes the refereed proceedings of the Second International Workshop on Connectomics in NeuroImaging, CNI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018.
The 15 full papers presented were carefully reviewed and selected from 20 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.
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Keywords
- Artificial intelligence
- Brain Connectivity
- Classification
- Connectome
- Connectomics
- Diffusion MRI
- Electroencephalography.
- Estimation
- Functional Connectivity
- Functional MRI
- Graph Algorithms
- Image analysis
- Image reconstruction
- Image processing
- Machine Learning
- Network Analysis
- Network Visualization
- Reconstruction
- Structural Connectivity
- White matter tractography
Table of contents (16 papers)
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Connectomics in NeuroImaging
Editors and Affiliations
Bibliographic Information
Book Title: Connectomics in NeuroImaging
Book Subtitle: Second International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
Editors: Guorong Wu, Islem Rekik, Markus D. Schirmer, Ai Wern Chung, Brent Munsell
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-00755-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-030-00754-6Published: 15 September 2018
eBook ISBN: 978-3-030-00755-3Published: 14 September 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 147
Number of Illustrations: 12 b/w illustrations, 51 illustrations in colour
Topics: Artificial Intelligence, Image Processing and Computer Vision, Arithmetic and Logic Structures, Probability and Statistics in Computer Science