Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12964)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): MLMIR: International Workshop on Machine Learning for Medical Image Reconstruction
Conference proceedings info: MLMIR 2021.
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Table of contents (13 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 13 papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.
Editors and Affiliations
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Sunnybrook Health Science Centre, Toronto, Canada
Nandinee Haq
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NYU Grossman School of Medicine, New York City, USA
Patricia Johnson
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Pattern Recognition Lab at FAU, Erlangen, Germany
Andreas Maier
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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: 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
Editors: Nandinee Haq, Patricia Johnson, Andreas Maier, Tobias Würfl, Jaejun Yoo
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-88552-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-88551-9Published: 30 September 2021
eBook ISBN: 978-3-030-88552-6Published: 29 September 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VIII, 142
Number of Illustrations: 16 b/w illustrations, 37 illustrations in colour
Topics: Artificial Intelligence