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Connectomics in NeuroImaging

Second International Workshop, CNI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

  • Guorong Wu
  • Islem Rekik
  • Markus D. Schirmer
  • Ai Wern Chung
  • Brent Munsell
Conference proceedings CNI 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11083)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11083)

Table of contents

  1. Front Matter
    Pages I-X
  2. Sharib Ali, Martin Schober, Philipp Schlömer, Katrin Amunts, Markus Axer, Karl Rohr
    Pages 1-10
  3. Göktekin Durusoy, Abdullah Karaaslanlı, Demet Yüksel Dal, Zerrin Yıldırım, Burak Acar
    Pages 29-37
  4. Paola Galdi, Manuel Blesa, Gemma Sullivan, Gillian J. Lamb, David Q. Stoye, Alan J. Quigley et al.
    Pages 47-57
  5. Linhui Xie, Enrico Amico, Paul Salama, Yu-chien Wu, Shiaofen Fang, Olaf Sporns et al.
    Pages 58-66
  6. Keri L. Anderson, Jeffrey S. Anderson, Sourabh Palande, Bei Wang
    Pages 67-77
  7. Eleanor Wong, Jeffrey S. Anderson, Brandon A. Zielinski, P. Thomas Fletcher
    Pages 78-87
  8. Naresh Nandakumar, Niharika S. D’Souza, Jeff Craley, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar et al.
    Pages 88-98
  9. Nicolas Georges, Islem Rekik, for the Alzheimers’s Disease Neuroimaging Initiative
    Pages 99-106
  10. Kendrick Li, Gowtham Atluri
    Pages 107-116
  11. Anvar Kurmukov, Ayagoz Musabaeva, Yulia Denisova, Daniel Moyer, Boris Gutman
    Pages 117-126
  12. Guorong Wu, Brent Munsell, Paul Laurienti, Moo K. Chung
    Pages 127-135
  13. Back Matter
    Pages 147-147

About these proceedings

Introduction

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.

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

Editors and affiliations

  • Guorong Wu
    • 1
  • Islem Rekik
    • 2
  • Markus D. Schirmer
    • 3
  • Ai Wern Chung
    • 4
  • Brent Munsell
    • 5
  1. 1.University of North Carolina at Chapel HillChapel HillUSA
  2. 2.University of DundeeDundeeUK
  3. 3.Harvard Medical SchoolBostonUSA
  4. 4.Harvard Medical SchoolBostonUSA
  5. 5.College of CharlestonCharlestonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-00755-3
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-00754-6
  • Online ISBN 978-3-030-00755-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site