Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10129)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): HVSMR: International Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, RAMBO: International Workshop on Reconstruction and Analysis of Moving Body Organs
Conference proceedings info: HVSMR 2016, RAMBO 2016.
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Table of contents (17 papers)
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Front Matter
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RAMBO: Reconstruction
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Front Matter
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RAMBO and HVSMR: Deep Learning for Heart Segmentation
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Front Matter
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RAMBO and HVSMR: Discrete Optimization and Probabilistic Intensity Modeling
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Front Matter
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HSVMR: Atlas-Based Strategies
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Front Matter
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About this book
This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2016, and the First International Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, HVSMR 2016.
The 17 revised regular papers presented in this book were carefully reviewed and selected from a total of 21 submissions. The papers cover following topics: Registration; Reconstruction; Deep learning for heart segmentation; Discrete optimization and probabilistic intensity modeling; Atlas-based strategies; Random forests.
Keywords
- Computer Science
- Informatics
- life and medical sciences
- machine learning
- modeling and simulation
- reconstruction
- segmentation
- 3D cardiac MRI
- applied computing
- automatic segmentation
- cardiac image segmentation
- computing methodologies
- image analysis
- deep learning
- image analysis
- magnetic resonance imaging
- motion
- random forest
- registration
- super-resolution reconstruction
- tagged MRI
- tissue maps
- total variation
Editors and Affiliations
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University College London, London, United Kingdom
Maria A. Zuluaga
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King’s College London, London, United Kingdom
Kanwal Bhatia
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Imperial College London, London, United Kingdom
Bernhard Kainz
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Harvard Medical School and Boston Children’s Hospital, Boston, USA
Mehdi H. Moghari
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MIT, Cambridge, USA
Danielle F. Pace
Bibliographic Information
Book Title: Reconstruction, Segmentation, and Analysis of Medical Images
Book Subtitle: First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers
Editors: Maria A. Zuluaga, Kanwal Bhatia, Bernhard Kainz, Mehdi H. Moghari, Danielle F. Pace
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-52280-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-52279-1Published: 19 January 2017
eBook ISBN: 978-3-319-52280-7Published: 18 January 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 174
Number of Illustrations: 67 b/w illustrations