Machine Learning for Medical Image Reconstruction
5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Herausgegeben:Haq, Nandinee; Johnson, Patricia; Maier, Andreas; Qin, Chen; Würfl, Tobias; Yoo, Jaejun
Machine Learning for Medical Image Reconstruction
5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
Herausgegeben:Haq, Nandinee; Johnson, Patricia; Maier, Andreas; Qin, Chen; Würfl, Tobias; Yoo, Jaejun
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This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2022, held in conjunction with MICCAI 2022, in September 2022, held in Singapore.
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.
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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.
- Produktdetails
- Lecture Notes in Computer Science 13587
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-17246-5
- 1st ed. 2022
- Seitenzahl: 168
- Erscheinungstermin: 22. September 2022
- Englisch
- Abmessung: 235mm x 155mm x 10mm
- Gewicht: 265g
- ISBN-13: 9783031172465
- ISBN-10: 3031172469
- Artikelnr.: 65313307
- Lecture Notes in Computer Science 13587
- Verlag: Springer / Springer International Publishing / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-17246-5
- 1st ed. 2022
- Seitenzahl: 168
- Erscheinungstermin: 22. September 2022
- Englisch
- Abmessung: 235mm x 155mm x 10mm
- Gewicht: 265g
- ISBN-13: 9783031172465
- ISBN-10: 3031172469
- Artikelnr.: 65313307