Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantification is a research paper published in Computer Methods and Programs in Biomedicine (2025). On theSindex it has a DataRank of 0. It has been cited 9 times.
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National Science Foundation Directorate for Computer and Information Science and Engineering
Grant: 2105345
Collaborative Research: Multifidelity Uncertainty Quantification Through Model Ensembles and Repositories
National Science Foundation Directorate for Computer and Information Science and Engineering
Grant: 2104831
Collaborative Research: CDS&E: Multifidelity Uncertainty Quantification Through Model Ensembles and Repositories
National Heart Lung and Blood Institute
Grant: R01HL141712
National Science Foundation
Grant: 1942662
CAREER: Bayesian Inference Networks for Model Ensembles
National Nuclear Security Administration
Grant: DE-NA0003525
National Institutes of Health
Grant: 5R01HL141712-05
Comprehensive CT Guided Coronary Artery Bypass Graft Surgery
FWCI
6.19
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals