Statistical atlases and computational models of the heart : Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges : 10th International Workshop, STACOM 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised selected papers / Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair Young, Tommaso Mansi, Avan Suinesiaputra (eds.).
STACOM (Workshop) (10th : 2019 : Shenzhen Shi, China); Pop, Mihaela (Scientist); Sermesant, Maxime.; Camara, Oscar (Oscar Camara Rey); Zhuang, Xiahai.; Li, Shuo, 1974-; Young, Alistair.; Mansi, Tommaso.; Suinesiaputra, Avan.; International Conference on Medical Image Computing and Computer-Assisted Intervention (22nd : 2019 : Shenzhen Shi, China)
2020
RC683.5.I42
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Title
Statistical atlases and computational models of the heart : Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges : 10th International Workshop, STACOM 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised selected papers / Mihaela Pop, Maxime Sermesant, Oscar Camara, Xiahai Zhuang, Shuo Li, Alistair Young, Tommaso Mansi, Avan Suinesiaputra (eds.).
ISBN
9783030390747 (electronic book)
3030390748 (electronic book)
9783030390730
3030390748 (electronic book)
9783030390730
Published
Cham : Springer, 2020.
Language
English
Description
1 online resource (xv, 417 pages) : illustrations.
Item Number
10.1007/978-3-030-39
Call Number
RC683.5.I42
Dewey Decimal Classification
006.37
006.6
006.6
Summary
This book constitutes the thoroughly refereed post-workshop proceedings of the 10th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 42 revised full workshop papers were carefully reviewed and selected from 76 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.
Note
Includes author index.
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Series
Lecture notes in computer science ; 12009.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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Table of Contents
Regular Papers
Multi-Sequence CMR Segmentation Challenge
CRT-EPiggy Challenge
LV Full Quantification Challenge.
Multi-Sequence CMR Segmentation Challenge
CRT-EPiggy Challenge
LV Full Quantification Challenge.