Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11074)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): MLMIR: International Workshop on Machine Learning for Medical Image Reconstruction
Conference proceedings info: MLMIR 2018.
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Table of contents (17 papers)
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Front Matter
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Deep Learning for Magnetic Resonance Imaging
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Front Matter
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Deep Learning for Computed Tomography
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Front Matter
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Deep Learning for General Image Reconstruction
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Front Matter
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About this book
This book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.
The 17 full papers presented were carefully reviewed and selected from 21 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.Keywords
- Artificial Intelligence
- Computer architecture
- Computerized tomography
- Image analysis
- Image processing
- Image quality
- Image reconstruction
- Image segmentation
- Life and medical sciences
- Machine learning
- Machine learning algorithms
- Machine learning theory
- Medical imaging
- Medical technologies
- Neural networks
- Reconstruction
- Sensors
Editors and Affiliations
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New York University, New York, USA
Florian Knoll
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University of Erlangen-Nuremberg, Erlangen, Germany
Andreas Maier
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Imperial College London, London, UK
Daniel Rueckert
Bibliographic Information
Book Title: Machine Learning for Medical Image Reconstruction
Book Subtitle: First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
Editors: Florian Knoll, Andreas Maier, Daniel Rueckert
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-00129-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-030-00128-5Published: 12 September 2018
eBook ISBN: 978-3-030-00129-2Published: 11 September 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 158
Number of Illustrations: 67 b/w illustrations
Topics: Artificial Intelligence, Image Processing and Computer Vision, Computer Communication Networks, Logic Design, Health Informatics