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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 (Image Processing, Computer Vision, Pattern Recognition, and Graphics)

By: Alistair Young (Edited by) , Kawal Rhode (Edited by) , Kristin McLeod (Edited by) , Maxime Sermesant (Edited by) , Mihaela Pop (Edited by) , Tommaso Mansi (Edited by)

Extended Catalogue

Ksh 10,250.00

Format: Paperback or Softback

ISBN-10: 3319527177

ISBN-13: 9783319527178

Collection / Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics

Collection Type: Publisher collection

Edition statement: 1st ed. 2017

Publisher: Springer International Publishing AG

Imprint: Springer International Publishing AG

Country of Manufacture: CH

Country of Publication: GB

Publication Date: Jan 24th, 2017

Publication Status: Active

Product extent: 230 Pages

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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.

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.


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