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Machine Learning for Medical Image Reconstruction

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

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Lecture Notes in Computer Science Image Processing, Computer Vision, Pattern Recognition, and Graphics

Machine Learning for Medical Image Reconstruction

Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

Florian Knoll | Andreas Maier | Daniel Rueckert | Jong Chul Ye

Computers / Artificial Intelligence / General

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.


Publication Date: 24 October 2019
Publisher: Springer International Publishing
Imprint: Springer
ISBN-13: 9783030338428
Format: Paperback softback
Page Count: 266

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