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Your search keyword '"Jong Chul Ye"' showing total 2 results
Start Over Author "Jong Chul Ye" Category education / computers & technology
2 results on '"Jong Chul Ye"'

1. Machine Learning for Medical Image Reconstruction : Third International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

Author

Farah Deeba, Patricia Johnson, Tobias Würfl, Jong Chul Ye, Farah Deeba, Patricia Johnson, Tobias Würfl, and Jong Chul Ye

Subjects
Artificial intelligence, Computer vision, Social sciences—Data processing, Education—Data processing, Bioinformatics
Abstract

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually. The 15 papers presented were carefully reviewed and selected from 18 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.

Published
2020

2. Machine Learning for Medical Image Reconstruction : Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

Author

Florian Knoll, Andreas Maier, Daniel Rueckert, Jong Chul Ye, Florian Knoll, Andreas Maier, Daniel Rueckert, and Jong Chul Ye

Subjects
Artificial intelligence, Education—Data processing, Social sciences—Data processing, Bioinformatics, Computer vision, Medical informatics
Abstract

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.

Published
2019

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