105 citations · 141 across the 3 of their papers we have counts for
3 papers
Geometric Uncertainty in Patient-Specific Cardiovascular Modeling with Convolutional Dropout Networks
Gabriel Maher, Casey Fleeter, Daniele Schiavazzi +1
We propose a novel approach to generate samples from the conditional distribution of patient-specific cardiovascular models given a clinically aquired image volume. A convolutional…
Multi-fidelity estimators for coronary circulation models under clinically-informed data uncertainty
Jongmin Seo, Casey Fleeter, Andrew M. Kahn +2
Numerical models are increasingly used for non-invasive diagnosis and treatment planning in coronary artery disease, where service-based technologies have proven successful in iden…
Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics
Casey M. Fleeter, Gianluca Geraci, Daniele E. Schiavazzi +2
Standard approaches for uncertainty quantification in cardiovascular modeling pose challenges due to the large number of uncertain inputs and the significant computational cost of…