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.
| ISBN: | 9783030338428 |
| Publication date: | 24th October 2019 |
| Author: | Florian Knoll |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 266 pages |
| Series: | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Genres: |
Artificial intelligence Educational equipment and technology, computer-aided learning (CAL) Computer applications in the social and behavioural sciences Computational biology / bioinformatics Computer vision Computer applications in industry and technology |