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(Ebook) Computational Diffusion MRI: International MICCAI Workshop, Lima, Peru, October 2020 (Mathematics and Visualization) by Noemi Gyori · Jana Hutter · Vishwesh Nath · Marco Palombo · Marco Pizzolato · Fan Zhang ISBN 9783030730178, 3030730174

  • SKU: EBN-34904642
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Instant download (eBook) Computational Diffusion MRI: International MICCAI Workshop, Lima, Peru, October 2020 (Mathematics and Visualization) after payment.
Authors:Noemi Gyori · Jana Hutter · Vishwesh Nath · Marco Palombo · Marco Pizzolato · Fan Zhang
Pages:315 pages.
Year:2021
Editon:1st ed. 2021
Publisher:Springer
Language:english
File Size:13.56 MB
Format:pdf
ISBNS:9783030730178, 3030730174
Categories: Ebooks

Product desciption

(Ebook) Computational Diffusion MRI: International MICCAI Workshop, Lima, Peru, October 2020 (Mathematics and Visualization) by Noemi Gyori · Jana Hutter · Vishwesh Nath · Marco Palombo · Marco Pizzolato · Fan Zhang ISBN 9783030730178, 3030730174

This book gathers papers presented at the Workshop on Computational Diffusion MRI, CDMRI 2020, held under the auspices of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), which took place virtually on October 8th, 2020, having originally been planned to take place in Lima, Peru. This book presents the latest developments in the highly active and rapidly growing field of diffusion MRI. While offering new perspectives on the most recent research challenges in the field, the selected articles also provide a valuable starting point for anyone interested in learning computational techniques for diffusion MRI. The book includes rigorous mathematical derivations, a large number of rich, full-colour visualizations, and clinically relevant results. As such, it is of interest to researchers and practitioners in the fields of computer science, MRI physics, and applied mathematics. The reader will find numerous contributions covering a broad range of topics, from the mathematical foundations of the diffusion process and signal generation to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as diffusion-relaxometry and frontline applications in research and clinical practice.
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