Statistical atlases and computational models of the heart : M & Ms and EMIDEC challenges : 11th International Workshop, STACOM 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, revised selected papers /

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Bibliographic Details
Meeting name:STACOM (Workshop) (11th : 2020 : Online)
Imprint:Cham, Switzerland : Springer, [2021]
Description:1 online resource (xv, 417 pages) : illustrations (chiefly color)
Language:English
Series:Lecture notes in computer science ; 12592
LNCS sublibrary. SL 6 - Image processing, computer vision, pattern recognition, and graphics
Lecture notes in computer science ; 12592.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12611034
Hidden Bibliographic Details
Varying Form of Title:STACOM 2020
MICCAI 2020
Other authors / contributors:Puyol Anton, Esther, editor.
Pop, Mihaela (Scientist), editor.
Sermesant, Maxime, editor.
Campello, Victor, editor.
Lalande, Alain, editor.
Lekadir, Karim, editor
Suinesiaputra, Avan, editor.
Camara, Oscar (Oscar Camara Rey), editor.
Young, Alistair (Alistair Andrew), editor.
International Conference on Medical Image Computing and Computer-Assisted Intervention (23rd : 2020 : Online), jointly held conference.
ISBN:9783030681074
3030681076
3030681068
9783030681067
Digital file characteristics:text file
PDF
Notes:"The 11th edition of theStatistical Atlases and Computational Modelling of the Heart workshop, STACOM 2020 (http://stacom2020.cardiacatlas.org), was held inconjunction with the MICCAI 2020 international conference (held virtually)"--Preface
Includes bibliographical references and index.
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Online resource; title from PDF title page (SpringerLink, viewed March 10, 2021).
Summary: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.
Other form:Print version: 9783030681067
Standard no.:10.1007/978-3-030-68107-4