Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges

Esther Puyol Anton

ISBN 10: 3030681068 / ISBN 13: 9783030681067

Published by Springer International Publishing, Springer Nature Switzerland Jan 2021, 2021

About this Item

Neuware -This book constitutes the proceedings of the 11th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2020, as well as two challenges: M&Ms - The Multi-Centre, Multi-Vendor, Multi-Disease Segmentation Challenge, and EMIDEC - Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI Challenge.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 436 pp. Englisch.

Seller Inventory # 9783030681067

Bibliographic Details

• Title: Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges
• Publisher: Springer International Publishing, Springer Nature Switzerland Jan 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 3030681068
• ISBN 13: 9783030681067
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 24D millimeters 235 millimeters width by 155 millimeters height by 24 millimeters depth
• Weight: 657 grams

About this title

Synopsis

This book constitutes the proceedings of the 11th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2020, as well as two challenges: M&Ms - The Multi-Centre, Multi-Vendor, Multi-Disease Segmentation Challenge, and EMIDEC - Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI Challenge. 

The 43 full papers included in this volume were carefully reviewed and selected from 70 submissions. They deal with cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, artificial intelligence, 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.