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Carlos Martín-Isla | Akateeminen Kirjakauppa

STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART. MULTI-DISEASE, MULTI-VIEW, AND MULTI-CENTER RIGHT VENTRICULAR SEGMENT

Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segment
Esther Puyol Antón; Mihaela Pop; Carlos Martín-Isla; Maxime Sermesant; Avan Suinesiaputra; Oscar Camara; Karim Lekadir
Springer Nature Switzerland AG (2022)
Pehmeäkantinen kirja
73,70
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Siirry koriin
Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segment
73,70 €
Springer Nature Switzerland AG
Sivumäärä: 385 sivua
Asu: Pehmeäkantinen kirja
Painos: 1st ed. 2022
Julkaisuvuosi: 2022, 15.01.2022 (lisätietoa)
Kieli: Englanti
Tuotesarja: Image Processing, Computer Vision, Pattern Recognition, and Graphics
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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