Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13587)
Conference series link(s): MLMIR: International Workshop on Machine Learning for Medical Image Reconstruction
Conference proceedings info: MLMIR 2022.
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Table of contents (15 papers)
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Front Matter
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Deep Learning for Magnetic Resonance Imaging
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Front Matter
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Deep Learning for General Image Reconstruction
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Front Matter
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Back Matter
About this book
The 15 papers presented were carefully reviewed and selected from 19 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.
Keywords
- artificial intelligence
- bioinformatics
- communication systems
- computer vision
- correlation analysis
- deep learning
- image analysis
- image processing
- image quality
- image reconstruction
- image segmentation
- machine learning
- mathematics
- neural networks
- reconstruction
- signal processing
- signal to noise ratio
- wireless telecommunication systems
Editors and Affiliations
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Hitachi, Montreal, Canada
Nandinee Haq
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NYU Grossman School of Medicine, New York, USA
Patricia Johnson
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Friedrich-Alexander-Universität, Erlangen, Germany
Andreas Maier
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University of Edinburgh, Edinburgh, UK
Chen Qin
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Siemens Healthineers, Erlangen, Germany
Tobias Würfl
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Ulsan National Institute of Science and Technology, Ulsan, Korea (Republic of)
Jaejun Yoo
Bibliographic Information
Book Title: Machine Learning for Medical Image Reconstruction
Book Subtitle: 5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Editors: Nandinee Haq, Patricia Johnson, Andreas Maier, Chen Qin, Tobias Würfl, Jaejun Yoo
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-17247-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-031-17246-5Published: 22 September 2022
eBook ISBN: 978-3-031-17247-2Published: 22 September 2022
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VIII, 157
Number of Illustrations: 29 b/w illustrations, 54 illustrations in colour
Topics: Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics, Computing Milieux, Computer Applications