TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-030-33843-5
DO  - 10.1007/978-3-030-33
DO  - doi
AB  - 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.
T1  - Machine learning for medical image reconstruction :second International Workshop, MLMIR 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings /
AU  - Knoll, Florian,
AU  - Maier, Andreas,
AU  - Rueckert, Daniel,
AU  - Ye, Jong Chul,
VL  - 11905
CN  - Q325.5
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 916109
KW  - Machine learning
KW  - Artificial intelligence
KW  - Diagnostic imaging
SN  - 9783030338435
SN  - 3030338436
TI  - Machine learning for medical image reconstruction :second International Workshop, MLMIR 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-33843-5
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-33843-5
ER  -