Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12449)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
- MLCN: International Workshop on Machine Learning in Clinical Neuroimaging
- RNO-AI: International Workshop on Radiomics and Radiogenomics in Neuro-oncology
Conference proceedings info: MLCN 2020, RNO-AI 2020.
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About this book
For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging.
For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience.
*The workshops were held virtually due to the COVID-19 pandemic.
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Keywords
Table of contents (29 papers)
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MLCN 2020
Other volumes
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Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology
Book Subtitle: Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings
Editors: Seyed Mostafa Kia, Hassan Mohy-ud-Din, Ahmed Abdulkadir, Cher Bass, Mohamad Habes, Jane Maryam Rondina, Chantal Tax, Hongzhi Wang, Thomas Wolfers, Saima Rathore, … Madhura Ingalhalikar
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-66843-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-66842-6Published: 31 December 2020
eBook ISBN: 978-3-030-66843-3Published: 30 December 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVIII, 305
Number of Illustrations: 8 b/w illustrations