Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11395)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: STACOM 2018.
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About this book
This book constitutes the thoroughly refereed post-workshop proceedings of the 9th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.
The 52 revised full workshop papers were carefully reviewed and selected from 60 submissions. The topics of the workshop included: cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods.
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Keywords
- cardiac statistical atlases
- image analysis
- atrial segmentation
- left ventricle quantification
- electrophysiology modeling
- heart biomechanical simulations
- CFD
- neural networks
- deep learning
- image processing
- artificial intelligence
- image segmentation
- segmentation methods
- SVM
- medical images
- image reconstruction
- cross validation
- image quality
- wireless networks
- automatic segmentations
Table of contents (51 papers)
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Regular Papers
Other volumes
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Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges
Editors and Affiliations
Bibliographic Information
Book Title: Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges
Book Subtitle: 9th International Workshop, STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers
Editors: Mihaela Pop, Maxime Sermesant, Jichao Zhao, Shuo Li, Kristin McLeod, Alistair Young, Kawal Rhode, … Tommaso Mansi
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-12029-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-12028-3Published: 14 February 2019
eBook ISBN: 978-3-030-12029-0Published: 05 March 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 487
Number of Illustrations: 24 b/w illustrations, 192 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence, Computer Communication Networks, Data Mining and Knowledge Discovery