Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges

8th International Workshop, STACOM 2017, Held in Conjunction with MICCAI 2017, Quebec City, Canada, September 10-14, 2017, Revised Selected Papers

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Application Software, Computer Graphics, General Computing
Cover of the book Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319755410
Publisher: Springer International Publishing Publication: March 14, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319755410
Publisher: Springer International Publishing
Publication: March 14, 2018
Imprint: Springer
Language: English

This book constitutes the thoroughly refereed post-workshop proceedings of the 8th International Workshop on Statistical Atlases and Computational Models of the Heart: ACDC and MMWHS Challenges 2017, held in conjunction with MICCAI 2017, in Quebec, Canada, in September 2017. The 27 revised full workshop papers were carefully reviewed and selected from 35 submissions. The papers cover a wide range of topics computational imaging and modelling of the heart, as well as statistical cardiac atlases. The topics of the workshop included: cardiac imaging and image processing, 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. Besides regular contributing papers, additional efforts of STACOM workshop were also focused on two challenges: ACDC and MM-WHS.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book constitutes the thoroughly refereed post-workshop proceedings of the 8th International Workshop on Statistical Atlases and Computational Models of the Heart: ACDC and MMWHS Challenges 2017, held in conjunction with MICCAI 2017, in Quebec, Canada, in September 2017. The 27 revised full workshop papers were carefully reviewed and selected from 35 submissions. The papers cover a wide range of topics computational imaging and modelling of the heart, as well as statistical cardiac atlases. The topics of the workshop included: cardiac imaging and image processing, 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. Besides regular contributing papers, additional efforts of STACOM workshop were also focused on two challenges: ACDC and MM-WHS.

More books from Springer International Publishing

Cover of the book Eurasian Business Perspectives by
Cover of the book Laboratories of Art by
Cover of the book Progress in Location-Based Services 2016 by
Cover of the book Grind Hardening Process by
Cover of the book Why Presidential Speech Locations Matter by
Cover of the book Artificial Intelligence and Security by
Cover of the book High Performance Computing by
Cover of the book Rights and Wrongs by
Cover of the book The Protos Mandate by
Cover of the book Screen Society by
Cover of the book 50 Years of Brown Dwarfs by
Cover of the book Sensing Vehicle Conditions for Detecting Driving Behaviors by
Cover of the book Tutorials in Endovascular Neurosurgery and Interventional Neuroradiology by
Cover of the book Perspectives on the Experience of Sudden, Unexpected Child Death by
Cover of the book Polymer Nanocomposites by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy