Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
7th International Workshop, STACOM 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers
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Beschreibung
This book constitutes the thoroughly refereed post-workshop proceedings of the 7th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges. 7th International Workshop, STACOM 2016, Held in conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected papers
The 24 revised full workshop papers were carefully reviewed and selected from 32 submissions. The papers cover a wide range of topics such as cardiac image processing; atlas construction, statistical modelling of cardiac function across different patient populations; cardiac mapping, cardiac computational physiology; model customization; image-based modelling and image-guided interventional procedures; atlas based functional analysis, ontological schemata for data and results; integrated functional and structural analyses; pre-clinical and clinical applicability of the methods described.
Includes supplementary material: sn.pub/extras
Autor*in
Tommaso Mansi
Themen in »Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges«
angiography cardiac imaging dynamic programming infarct diagnosis modeling cardiac computed tomography (CT) CMR electrophysiological model geodesic active contour histological data image segmentation MRI parameter estimation registration robust PCA
Stimmen zu »Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges«
“The workshop and the submissions in this book provide a forum of discussion for further development of statistical analysis and computational imaging and modeling of the heart. It is aimed primarily at students, health professionals, and researchers who are looking to enhance their knowledge of further advances in cardiac imaging and statistical models of the heart. … This is a valuable resource for those interested in keeping abreast of the latest advances in cardiac imaging statistical models … .” (Pooja Sethi, Doody's Book Reviews, March, 2017)
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