Image Processing, Computer Vision, Pattern Recognition, and Graphics

Connectomics in NeuroImaging

Third International Workshop, CNI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Editors: Schirmer, M.D., Venkataraman, A., Rekik, I., Kim, M., Chung, A.W. (Eds.)

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About this book

This book constitutes the refereed proceedings of the Third International Workshop on Connectomics in NeuroImaging, CNI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.

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.

Table of contents (13 chapters)

Table of contents (13 chapters)
  • Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson’s Disease Diagnosis

    Pages 1-9

    Huang, Zhongwei (et al.)

  • A Novel Graph Neural Network to Localize Eloquent Cortex in Brain Tumor Patients from Resting-State fMRI Connectivity

    Pages 10-20

    Nandakumar, Naresh (et al.)

  • Graph Morphology-Based Genetic Algorithm for Classifying Late Dementia States

    Pages 21-31

    Ben Khelifa, Oumaima (et al.)

  • Covariance Shrinkage for Dynamic Functional Connectivity

    Pages 32-41

    Honnorat, Nicolas (et al.)

  • Rapid Acceleration of the Permutation Test via Transpositions

    Pages 42-53

    Chung, Moo K. (et al.)

Buy this book

eBook n/a
  • ISBN 978-3-030-32391-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
Softcover n/a
  • ISBN 978-3-030-32390-5
  • Free shipping for individuals worldwide
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Bibliographic Information

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
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
11848
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-32391-2
DOI
10.1007/978-3-030-32391-2
Softcover ISBN
978-3-030-32390-5
Edition Number
1
Number of Pages
X, 139
Number of Illustrations
2 b/w illustrations, 51 illustrations in colour
Topics