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Machine Learning for Medical Image Reconstruction

4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12964)

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Conference proceedings info: MLMIR 2021.

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About this book

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.

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Keywords

Table of contents (13 papers)

  1. Deep Learning for Magnetic Resonance Imaging

  2. Deep Learning for General Image Reconstruction

Other volumes

  1. Machine Learning for Medical Image Reconstruction

Editors and Affiliations

  • Sunnybrook Health Science Centre, Toronto, Canada

    Nandinee Haq

  • NYU Grossman School of Medicine, New York City, USA

    Patricia Johnson

  • Pattern Recognition Lab at FAU, Erlangen, Germany

    Andreas Maier

  • Siemens Healthineers, Erlangen, Germany

    Tobias Würfl

  • Ulsan National Institute of Science and Technology, Ulsan, Korea (Republic of)

    Jaejun Yoo

Bibliographic Information

  • Book Title: Machine Learning for Medical Image Reconstruction

  • Book Subtitle: 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

  • Editors: Nandinee Haq, Patricia Johnson, Andreas Maier, Tobias Würfl, Jaejun Yoo

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-88552-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-88551-9Published: 30 September 2021

  • eBook ISBN: 978-3-030-88552-6Published: 29 September 2021

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: VIII, 142

  • Number of Illustrations: 16 b/w illustrations, 37 illustrations in colour

  • Topics: Artificial Intelligence

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