Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13001)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): MLCN: International Workshop on Machine Learning in Clinical Neuroimaging
Conference proceedings info: MLCN 2021.
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About this book
The 17 papers presented in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections named: computational anatomy and brain networks and time series.
Keywords
- artificial intelligence
- bioinformatics
- brain mapping
- clinical neuroimaging
- computational anatomy
- computer vision
- deep learning
- functional magnetic resonance imaging
- image enhancement
- image processing
- image reconstruction
- machine learning
- medical image analysis
- medical image computing
- medical images
- neural networks
- pattern recognition
Editors and Affiliations
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University of Pennsylvania, Philadelphia, USA
Ahmed Abdulkadir
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Donders Institute, Nijmegen, The Netherlands
Seyed Mostafa Kia
-
The University of Texas Health Science Center at San Antonio, San Antonio, USA
Mohamad Habes
-
Max Planck Institute for Biological Cybernetics, Tübingen, Germany
Vinod Kumar
-
University College London, London, UK
Jane Maryam Rondina
-
University Medical Center Utrecht, Utrecht, The Netherlands
Chantal Tax
-
University of Oslo, Oslo, Norway
Thomas Wolfers
Bibliographic Information
Book Title: Machine Learning in Clinical Neuroimaging
Book Subtitle: 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Editors: Ahmed Abdulkadir, Seyed Mostafa Kia, Mohamad Habes, Vinod Kumar, Jane Maryam Rondina, Chantal Tax, Thomas Wolfers
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-87586-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-87585-5Published: 23 September 2021
eBook ISBN: 978-3-030-87586-2Published: 22 September 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 176
Number of Illustrations: 12 b/w illustrations, 53 illustrations in colour
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Artificial Intelligence, Bioinformatics