Image Processing, Computer Vision, Pattern Recognition, and Graphics

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy

4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

Editors: Zhu, D., Yan, J., Huang, H., Shen, L., Thompson, P.M., Westin, C.-F., Pennec, X., Joshi, S., Nielsen, M., Fletcher, T., Durrleman, S., Sommer, S. (Eds.)

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About this book

This book constitutes the refereed joint proceedings of the 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019.

The 16 full papers presented at MBAI 2019 and the 7 full papers presented at MFCA 2019 were carefully reviewed and selected.

The MBAI papers intend to move forward the state of the art in multimodal brain image analysis, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.

The MFCA papers are devoted to statistical and geometrical methods for modeling the variability of biological shapes. The goal is to foster the interactions between the mathematical community around shapes and the MICCAI community around computational anatomy applications.

Table of contents (23 chapters)

Table of contents (23 chapters)
  • Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm

    Pages 3-11

    Wang, Wenjuan (et al.)

  • An Edge Enhanced SRGAN for MRI Super Resolution in Slice-Selection Direction

    Pages 12-20

    Liu, Jia (et al.)

  • Exploring Functional Connectivity Biomarker in Autism Using Group-Wise Sparse Representation

    Pages 21-29

    Ren, Yudan (et al.)

  • Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding

    Pages 30-38

    Tang, Haoteng (et al.)

  • Mapping the Spatio-Temporal Functional Coherence in the Resting Brain

    Pages 39-48

    Wang, Ze

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-030-33226-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-030-33225-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy
Book Subtitle
4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Editors
  • Dajiang Zhu
  • Jingwen Yan
  • Heng Huang
  • Li Shen
  • Paul M. Thompson
  • Carl-Fredrik Westin
  • Xavier Pennec
  • Sarang Joshi
  • Mads Nielsen
  • Tom Fletcher
  • Stanley Durrleman
  • Stefan Sommer
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
11846
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-33226-6
DOI
10.1007/978-3-030-33226-6
Softcover ISBN
978-3-030-33225-9
Edition Number
1
Number of Pages
XVII, 230
Number of Illustrations
22 b/w illustrations, 91 illustrations in colour
Topics