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, Rev

Mansi, Tommaso (Editor)/ Mcleod, Kristin (Editor)/ Pop, Mihaela (Editor)/ Rhode, Kawal (Editor)/ Sermesant, Maxime (Editor)

ISBN 10: 3319527177 / ISBN 13: 9783319527178

Published by Springer-Verlag New York Inc, 2017

About this Item

revised edition. 244 pages. 9.25x6.10x0.55 inches. In Stock.

Seller Inventory # x-3319527177

Bibliographic Details

• Title: 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, Rev
• Publisher: Springer-Verlag New York Inc
• Publication Date: 2017
• Language: English
• ISBN 10: 3319527177
• ISBN 13: 9783319527178
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

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.

Review

"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)