Machine Learning for Medical Image Reconstruction: Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings: 11905 - Brossura
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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.
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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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paperback. Condizione: Very Good. 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) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Codice articolo 7719-9783030338428
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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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paperback. Condizione: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee. Codice articolo 6545-9783030338428
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Machine Learning for Medical Image Reconstruction: Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, . Vision, Pattern Recognition, and Graphics)
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paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_398004925
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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 : 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: Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, ... Vision, Pattern Recognition, and Graphics)
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Machine Learning for Medical Image Reconstruction : Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China,
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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
Editore:
Springer International Publishing Okt 2019, 2019
ISBN 10: 3030338428
ISBN 13: 9783030338428
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783030338428
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