Machine Learning for Medical Image Reconstruction 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings / edited by Nandinee Haq, Patricia Johnson, Andreas Maier, Tobias Würfl, Jaejun Yoo.

Machine Learning for Medical Image Reconstruction 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings /

This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2021, held in conjunction with MICCAI 2021, in October 2021. The workshop was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Haq, Nandinee (Editor), Johnson, Patricia (Editor), Maier, Andreas (Editor), Würfl, Tobias (Editor), Yoo, Jaejun (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; 12964.
Subjects:
Artificial intelligence.
Online Access: Full text (Wentworth users only)
Description
Summary:This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2021, held in conjunction with MICCAI 2021, in October 2021. The workshop was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. The 13 papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in the following topical sections: deep learning for magnetic resonance imaging and deep learning for general image reconstruction.
Physical Description:VIII, 142 pages 53 illustrations, 37 illustrations in color : online resource.
ISBN:9783030885526
DOI:10.1007/978-3-030-88552-6

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