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

Editors: Knoll, F., Maier, A., Rueckert, D., Ye, J.C. (Eds.)

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  • ISBN 978-3-030-33843-5
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Softcover $69.99
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About this book

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.

Table of contents (25 chapters)

Table of contents (25 chapters)
  • Recon-GLGAN: A Global-Local Context Based Generative Adversarial Network for MRI Reconstruction

    Pages 3-15

    Murugesan, Balamurali (et al.)

  • Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging

    Pages 16-24

    Zhang, Tong (et al.)

  • Fast Dynamic Perfusion and Angiography Reconstruction Using an End-to-End 3D Convolutional Neural Network

    Pages 25-35

    Yousefi, Sahar (et al.)

  • APIR-Net: Autocalibrated Parallel Imaging Reconstruction Using a Neural Network

    Pages 36-46

    Zhang, Chaoping (et al.)

  • Accelerated MRI Reconstruction with Dual-Domain Generative Adversarial Network

    Pages 47-57

    Wang, Guanhua (et al.)

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-030-33843-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-030-33842-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning for Medical Image Reconstruction
Book Subtitle
Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Editors
  • Florian Knoll
  • Andreas Maier
  • Daniel Rueckert
  • Jong Chul Ye
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
11905
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-33843-5
DOI
10.1007/978-3-030-33843-5
Softcover ISBN
978-3-030-33842-8
Edition Number
1
Number of Pages
IX, 266
Number of Illustrations
34 b/w illustrations, 94 illustrations in colour
Topics