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  • Conference proceedings
  • © 2019

Connectomics in NeuroImaging

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

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)

Conference series link(s): CNI: International Workshop on Connectomics in Neuroimaging

Conference proceedings info: CNI 2019.

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  • ISBN: 978-3-030-32391-2
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Table of contents (13 papers)

  1. Front Matter

    Pages i-x
  2. Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson’s Disease Diagnosis

    • Zhongwei Huang, Haijun Lei, Guoliang Chen, Shiqi Li, Hancong Li, Ahmed Elazab et al.
    Pages 1-9
  3. A Novel Graph Neural Network to Localize Eloquent Cortex in Brain Tumor Patients from Resting-State fMRI Connectivity

    • Naresh Nandakumar, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman
    Pages 10-20
  4. Covariance Shrinkage for Dynamic Functional Connectivity

    • Nicolas Honnorat, Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Kilian Pohl
    Pages 32-41
  5. Rapid Acceleration of the Permutation Test via Transpositions

    • Moo K. Chung, Linhui Xie, Shih-Gu Huang, Yixian Wang, Jingwen Yan, Li Shen
    Pages 42-53
  6. A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences

    • Javid Dadashkarimi, Siyuan Gao, Erin Yeagle, Stephanie Noble, Dustin Scheinost
    Pages 64-73
  7. Constraining Disease Progression Models Using Subject Specific Connectivity Priors

    • Anvar Kurmukov, Yuji Zhao, Ayagoz Mussabaeva, Boris Gutman
    Pages 106-116
  8. Hemodynamic Matrix Factorization for Functional Magnetic Resonance Imaging

    • Michael Hütel, Michela Antonelli, Jinendra Ekanayake, Sebastien Ourselin, Andrew Melbourne
    Pages 117-125
  9. Back Matter

    Pages 139-139

Other Volumes

  1. Connectomics in NeuroImaging

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

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.

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

Editors and Affiliations

  • Harvard Medical School, Boston, USA

    Markus D. Schirmer, Ai Wern Chung

  • Johns Hopkins University, Baltimore, USA

    Archana Venkataraman

  • Istanbul Technical University, Istanbul, Turkey

    Islem Rekik

  • University of North Carolina, Greensboro, USA

    Minjeong Kim

Bibliographic Information

Buying options

eBook USD 44.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-32391-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 59.99
Price excludes VAT (USA)