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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 (Paperback, 1st ed. 2021)
Esther Puyol Anton, Mihaela Pop, Maxime Sermesant, Victor Campello, Alain Lalande, …
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R1,601
Discovery Miles 16 010
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Ships in 10 - 15 working days
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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.
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Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers (Paperback, 1st ed. 2022)
Esther Puyol Anton, Mihaela Pop, Carlos Martin-Isla, Maxime Sermesant, Avan Suinesiaputra, …
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R2,354
Discovery Miles 23 540
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the 12th International
Workshop on Statistical Atlases and Computational Models of the
Heart, STACOM 2021, as well as the M&Ms-2 Challenge:
Multi-Disease, Multi-View and Multi-Center Right Ventricular
Segmentation in Cardiac MRI Challenge.The 25 regular workshop
papers included in this volume were carefully reviewed and selected
after being revised. 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. In
addition, 15 papers from the M&MS-2 challenge are included in
this volume. The Multi-Disease, Multi-View & Multi-Center Right
Ventricular Segmentation in Cardiac MRI Challenge (M&Ms-2) is
focusing on the development of generalizable deep learning models
for the Right Ventricle that can maintain good segmentation
accuracy on different centers, pathologies and cardiac MRI views.
There was a total of 48 submissions to the workshop.
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