Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11846)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
- MBIA: International Workshop on Multimodal Brain Image Analysis
- MFCA: International Workshop on Mathematical Foundations of Computational Anatomy
Conference proceedings info: MBIA 2019, MFCA 2019.
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Table of contents (23 papers)
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MBIA
Other volumes
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Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy
Keywords
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.
Editors and Affiliations
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: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-33226-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-33225-9Published: 11 October 2019
eBook ISBN: 978-3-030-33226-6Published: 10 October 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVII, 230
Number of Illustrations: 22 b/w illustrations, 91 illustrations in colour
Topics: Pattern Recognition, Image Processing and Computer Vision, Artificial Intelligence, Information Systems and Communication Service