105 citations · 152 across the 16 of their papers we have counts for
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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…
The effects of clinically-derived parametric data uncertainty in patient-specific coronary simulations with deformable walls
Jongmin Seo, Daniele E. Schiavazzi, Andrew M. Kahn +1
Cardiovascular simulations are increasingly used for non-invasive diagnosis of cardiovascular disease, to guide treatment decisions, and in the design of medical devices. Quantitat…
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…
Performance of preconditioned iterative linear solvers for cardiovascular simulations in rigid and deformable vessels
Jongmin Seo, Daniele E. Schiavazzi, Alison L. Marsden
Computing the solution of linear systems of equations is invariably the most time consuming task in the numerical solutions of PDEs in many fields of computational science. In this…