Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges: 9th International Workshop STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

Author:   Mihaela Pop ,  Maxime Sermesant ,  Jichao Zhao ,  Shuo Li
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11395
ISBN:  

9783030120283


Pages:   487
Publication Date:   17 April 2019
Format:   Paperback
Availability:   Not yet available   Availability explained
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Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges: 9th International Workshop STACOM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers


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Overview

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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Author:   Mihaela Pop ,  Maxime Sermesant ,  Jichao Zhao ,  Shuo Li
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   11395
ISBN:  

9783030120283


ISBN 10:   3030120287
Pages:   487
Publication Date:   17 April 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

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.- Pre-clinical and clinical applicability of these methods.

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