Geometric uncertainty in patient-specific cardiovascular modeling with convolutional dropout networks
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Publication:2246251
DOI10.1016/j.cma.2021.114038OpenAlexW3086421927MaRDI QIDQ2246251
Daniele E. Schiavazzi, Casey M. Fleeter, Gabriel D. Maher, Alison L. Marsden
Publication date: 16 November 2021
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2009.07395
neural networkscomputational fluid dynamicsuncertainty quantificationdeep learningcardiovascular model uncertaintysimvascular
Monte Carlo methods (65C05) Neural networks for/in biological studies, artificial life and related topics (92B20) Physiological flows (76Z05) Physiological flow (92C35)
Uses Software
Cites Work
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