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Image Processing, Computer Vision, Pattern Recognition, and Graphics

Machine Learning for Medical Image Reconstruction

Third International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

Editors: Deeba, F., Johnson, P., Würfl, T., Ye, J.C. (Eds.)

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  • ISBN 978-3-030-61598-7
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About this book

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.

Table of contents (15 chapters)

Table of contents (15 chapters)
  • 3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI

    Pages 3-16

    Alush-Aben, Jonathan (et al.)

  • Deep Parallel MRI Reconstruction Network Without Coil Sensitivities

    Pages 17-26

    Bian, Wanyu (et al.)

  • Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data

    Pages 27-37

    Wang, Alan Q. (et al.)

  • Deep Recurrent Partial Fourier Reconstruction in Diffusion MRI

    Pages 38-47

    Gadjimuradov, Fasil (et al.)

  • Model-Based Learning for Quantitative Susceptibility Mapping

    Pages 48-59

    Liu, Juan (et al.)

Buy this book

eBook $44.99
price for Brazil
  • ISBN 978-3-030-61598-7
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for Brazil
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning for Medical Image Reconstruction
Book Subtitle
Third International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings
Editors
  • Farah Deeba
  • Patricia Johnson
  • Tobias Würfl
  • Jong Chul Ye
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
12450
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-61598-7
DOI
10.1007/978-3-030-61598-7
Softcover ISBN
978-3-030-61597-0
Edition Number
1
Number of Pages
VIII, 163
Number of Illustrations
28 b/w illustrations, 48 illustrations in colour
Topics