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Connectomics in NeuroImaging

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

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Markus D. Schirmer

    1. Harvard Medical School, Boston, USA

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  2. Archana Venkataraman

    1. Johns Hopkins University, Baltimore, USA

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  3. Islem Rekik

    1. Istanbul Technical University, Istanbul, Turkey

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  4. Minjeong Kim

    1. University of North Carolina, Greensboro, USA

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  5. Ai Wern Chung

    1. Harvard Medical School, Boston, USA

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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)

  1. Front Matter

    Pages i-x
    Download chapter PDF

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

    • Oumaima Ben Khelifa, Islem Rekik
    Pages 21-31

  5. Covariance Shrinkage for Dynamic Functional Connectivity

    • Nicolas Honnorat, Ehsan Adeli, Qingyu Zhao, Adolf Pfefferbaum, Edith V. Sullivan, Kilian Pohl
    Pages 32-41

  6. 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

  7. Heat Kernels with Functional Connectomes Reveal Atypical Energy Transport in Peripheral Subnetworks in Autism

    • Markus D. Schirmer, Ai Wern Chung
    Pages 54-63

  8. 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

  9. Adversarial Connectome Embedding for Mild Cognitive Impairment Identification Using Cortical Morphological Networks

    • Alin Banka, Islem Rekik
    Pages 74-82

  10. A Machine Learning Framework for Accurate Functional Connectome Fingerprinting and an Application of a Siamese Network

    • Ali Shojaee, Kendrick Li, Gowtham Atluri
    Pages 83-94

  11. Test-Retest Reliability of Functional Networks for Evaluation of Data-Driven Parcellation

    • Jianfeng Zeng, Anh The Dang, Gowtham Atluri
    Pages 95-105

  12. Constraining Disease Progression Models Using Subject Specific Connectivity Priors

    • Anvar Kurmukov, Yuji Zhao, Ayagoz Mussabaeva, Boris Gutman
    Pages 106-116

  13. Hemodynamic Matrix Factorization for Functional Magnetic Resonance Imaging

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

  14. Network Dependency Index Stratified Subnetwork Analysis of Functional Connectomes: An Application to Autism

    • Ai Wern Chung, Markus D. Schirmer
    Pages 126-137

  15. Back Matter

    Pages 139-139
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  1. Connectomics in NeuroImaging

Keywords

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.

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

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