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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

Author: Mihaela PopMaxime SermesantJichao ZhaoShuo LiKristin McLeodAll authors
Publisher: Cham, Switzerland : Springer, 2019.
Series: Lecture notes in computer science, 11395.; LNCS sublibrary., SL 6,, Image processing, computer vision, pattern recognition, and graphics.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Printed edition:
Printed edition:
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Mihaela Pop; Maxime Sermesant; Jichao Zhao; Shuo Li; Kristin McLeod; Alistair Young; Kawal Rhode; Tommaso Mansi
ISBN: 9783030120290 3030120295
OCLC Number: 1089691995
Notes: Includes author index.
Description: 1 online resource (xiv, 487 pages) : illustrations (some color)
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.
Series Title: Lecture notes in computer science, 11395.; LNCS sublibrary., SL 6,, Image processing, computer vision, pattern recognition, and graphics.
Other Titles: STACOM 2018
Responsibility: Mihaela Pop, Maxime Sermesant, Jichao Zhao, Shuo Li, Kristin McLeod, Alistair Young, Kawal Rhode, Tommaso Mansi (eds.).

Abstract:

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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