Machine Learning for Medical Image Reconstruction: Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, ... Vision, Pattern Recognition, and Graphics) - Softcover
Book 158 of 300: Lecture Notes in Computer Science
Synopsis
This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.
The 24 full papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography; and deep learning for general image reconstruction.
"synopsis" may belong to another edition of this title.
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Machine Learning for Medical Image Reconstruction: Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, . (Lecture Notes in Computer Science, 11905)
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Machine Learning for Medical Image Reconstruction : Second International Workshop, Mlmir 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 17, 2019, Proceedings
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Machine Learning for Medical Image Reconstruction (eng)
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Machine Learning for Medical Image Reconstruction : Second International Workshop, Mlmir 2019, Held in Conjunction With Miccai 2019, Shenzhen, China, October 17, 2019, Proceedings
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Machine Learning for Medical Image Reconstruction
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Springer International Publishing Okt 2019, 2019
ISBN 10: 3030338428
ISBN 13: 9783030338428
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.The 24 full papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging; deep learning for computed tomography; and deep learning for general image reconstruction. 276 pp. Englisch. Seller Inventory # 9783030338428
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