Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12738)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): FIMH: International Conference on Functional Imaging and Modeling of the Heart
Conference proceedings info: FIMH 2021.
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Table of contents (65 papers)
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Front Matter
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Advanced Cardiac and Cardiovascular Image Processing
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Front Matter
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Cardiac Microstructure: Measures and Models
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Front Matter
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About this book
This book constitutes the refereed proceedings of the 11th International Conference on Functional Imaging and Modeling of the Heart, which took place online during June 21-24, 2021, organized by the University of Stanford.
The 65 revised full papers were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: advanced cardiac and cardiovascular image processing; cardiac microstructure: measures and models; novel approaches to measuring heart deformation; cardiac mechanics: measures and models; translational cardiac mechanics; modeling electrophysiology, ECG, and arrhythmia; cardiovascular flow: measures and models; and atrial microstructure, modeling, and thrombosis prediction.
Keywords
- cardiac mechanics
- computational biology
- computer networks
- computer vision
- continuum models
- electro-mechanical heart models
- image analysis
- image processing
- image segmentation
- machine learning
- model verification and validation
- multiscale-systems
- network protocols
- neural networks
- patient specific modeling
- pattern recognition
- signal processing
Editors and Affiliations
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Stanford University, Stanford, USA
Daniel B. Ennis, Vicky Y. Wang
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University of Central Florida, Orlando, USA
Luigi E. Perotti
Bibliographic Information
Book Title: Functional Imaging and Modeling of the Heart
Book Subtitle: 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings
Editors: Daniel B. Ennis, Luigi E. Perotti, Vicky Y. Wang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-78710-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-78709-7Published: 18 June 2021
eBook ISBN: 978-3-030-78710-3Published: 17 June 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVIII, 690
Number of Illustrations: 25 b/w illustrations, 301 illustrations in colour
Topics: Image Processing and Computer Vision, Computer Communication Networks, Machine Learning, Computer Appl. in Social and Behavioral Sciences, Math Applications in Computer Science