Image Processing, Computer Vision, Pattern Recognition, and Graphics

Graph Learning in Medical Imaging

First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

Editors: Zhang, D., Zhou, L., Jie, B., Liu, M. (Eds.)

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  • ISBN 978-3-030-35817-4
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Softcover $59.99
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  • ISBN 978-3-030-35816-7
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About this book

This book constitutes the refereed proceedings of the First International Workshop on Graph Learning in Medical Imaging, GLMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.

The 21 full papers presented were carefully reviewed and selected from 42 submissions. The papers focus on major trends and challenges of graph learning in medical imaging and present original work aimed to identify new cutting-edge techniques and their applications in medical imaging.

Table of contents (21 chapters)

Table of contents (21 chapters)
  • Graph Hyperalignment for Multi-subject fMRI Functional Alignment

    Pages 1-8

    Li, Weida (et al.)

  • Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks

    Pages 9-17

    Wang, Xiaosong (et al.)

  • Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis

    Pages 18-26

    Wang, Zhengdong (et al.)

  • Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification

    Pages 27-35

    Wang, Zhengdong (et al.)

  • Linking Convolutional Neural Networks with Graph Convolutional Networks: Application in Pulmonary Artery-Vein Separation

    Pages 36-43

    Zhai, Zhiwei (et al.)

Buy this book

eBook $44.99
price for USA in USD (gross)
  • ISBN 978-3-030-35817-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • ISBN 978-3-030-35816-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Graph Learning in Medical Imaging
Book Subtitle
First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Editors
  • Daoqiang Zhang
  • Luping Zhou
  • Biao Jie
  • Mingxia Liu
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
11849
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-35817-4
DOI
10.1007/978-3-030-35817-4
Softcover ISBN
978-3-030-35816-7
Edition Number
1
Number of Pages
IX, 182
Number of Illustrations
19 b/w illustrations, 68 illustrations in colour
Topics