A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for <italic>In Silico</italic> Clinical Trials of Stent Design

<italic>Goal:</italic> To develop a cardiovascular virtual population using statistical modeling and computational biomechanics. <italic>Methods:</italic> A clinical data augmentation algorithm is implemented to efficiently generate virtual clinical data using a real clinical...

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Auteurs principaux:	Dimitrios Pleouras, Antonis Sakellarios, George Rigas, Georgia S. Karanasiou, Panagiota Tsompou, Gianna Karanasiou, Vassiliki Kigka, Savvas Kyriakidis, Vasileios Pezoulas, George Gois, Nikolaos Tachos, Aidonis Ramos, Gualtiero Pelosi, Silvia Rocchiccioli, Lampros Michalis, Dimitrios I. Fotiadis
Format:	article
Langue:	EN
Publié:	IEEE 2021
Sujets:	Cardiovascular virtual population clinical data augmentation plaque growth modeling <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">in-silico</italic> clinical trials Computer applications to medicine. Medical informatics R858-859.7 Medical technology R855-855.5
Accès en ligne:	https://doaj.org/article/6116fa3d0737417f92cf33d1876f410f
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A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for <italic>In Silico</italic> Clinical Trials of Stent Design

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