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 / Mihaela Pop, Maxime Sermesant, Jichao Zhao, Shuo Li, Kristin McLeod, Alistair Young, Kawal Rhode, Tommaso Mansi (eds.).
STACOM (Workshop) (9th : 2018 : Granada, Spain); Pop, Mihaela, editor.; Sermesant, Maxime, editor.; Zhao, Jichao, editor.; Li, Shuo, 1974- editor.; McLeod, Kristin, editor.; Young, Alistair (Alistair Andrew), editor.; Rhode, Kawal, editor.; Mansi, Tommaso, editor.; International Conference on Medical Image Computing and Computer-Assisted Intervention (21st : 2018 : Granada, Spain), jointly held conference.
2019
RC683.5.I42
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Title
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 / Mihaela Pop, Maxime Sermesant, Jichao Zhao, Shuo Li, Kristin McLeod, Alistair Young, Kawal Rhode, Tommaso Mansi (eds.).
Meeting Name
ISBN
9783030120290 (electronic book)
3030120295 (electronic book)
9783030120283
3030120295 (electronic book)
9783030120283
Published
Cham, Switzerland : Springer, 2019.
Language
English
Description
1 online resource (xiv, 487 pages) : illustrations.
Item Number
10.1007/978-3-030-12029-0 doi
Call Number
RC683.5.I42
Dewey Decimal Classification
616.1/20757
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 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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Access limited to authorized users.
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text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 11, 2019).
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Series
Lecture notes in computer science ; 11395.
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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Print version: : 9783030120283
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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.
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.