Data & IT
Pocket
Machine Learning for Medical Image Reconstruction
Florian Knoll • Andreas Maier • Daniel Rueckert • Jong Chul Ye
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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.
- Format: Pocket/Paperback
- ISBN: 9783030338428
- Språk: Engelska
- Antal sidor: 266
- Utgivningsdatum: 2019-10-24
- Förlag: Springer Nature Switzerland AG