Statistical Atlases and Computational Models of the Heart. Multi-sequence CMR...

Description: Statistical Atlases and Computational Models of the Heart. Multi-sequence CMR Segmentation, CRT-Epiggy and LV Full Quantification Challenges : 10th International Workshop, STACOM 2019, Held in Conjunction With MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers, Paperback by Pop, Mihaela (EDT); Sermesant, Maxime (EDT); Camara, Oscar (EDT); Zhuang, Xiahai (EDT); Li, Shuo (EDT), ISBN 303039073X, ISBN-13 9783030390730, Brand New, Free shipping in the US This book constitutes the thoroughly refereed post-workshop proceedings of the 10th International Workshop on Statistical Atlases and Computational Models of the Heart: Atrial Segmentation and LV Quantification Challenges, STACOM 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 42 revised full workshop papers were carefully reviewed and selected from 76 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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Book Title: Statistical Atlases and Computational Models of the Heart. Multi-

Number of Pages: Xv, 417 Pages

Language: English

Publication Name: Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges : 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Revised Selected Papers

Publisher: Springer International Publishing A&G

Publication Year: 2020

Subject: Computer Graphics, Intelligence (Ai) & Semantics, Computer Vision & Pattern Recognition, Enterprise Applications / General

Item Weight: 23.4 Oz

Type: Textbook

Author: Maxime Sermesant

Subject Area: Computers

Item Length: 9.3 in

Item Width: 6.1 in

Series: Lecture Notes in Computer Science Ser.

Format: Trade Paperback