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Uncertainty quantification of simulated biomechanical stimuli in coronary artery bypass grafts
13 references·4 citing·34 second hop
Uncertainty quantification of simulated biomechanical stimuli in coronary artery bypass grafts (2018)Uncertainty quantification of simulated b…Practical identifiability and uncertainty quantification of a pulsatile cardiovascular model (2018)Practical identifiability and…Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme (2014)Towards efficient uncertainty…Modeling and Inverse Problems in the Presence of Uncertainty (2014)Modeling and Inverse Problems…Simulation‐based uncertainty quantification of human arterial network hemodynamics (2013)Simulation‐based uncertainty …On the convergence of generalized polynomial chaos expansions (2011)On the convergence of general…The impact of uncertainty on shape optimization of idealized bypass graft models in unsteady flow (2010)The impact of uncertainty on …A Stochastic Collocation Method for Uncertainty Quantification and Propagation in Cardiovascular Simulations (2010)A Stochastic Collocation Meth…Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Optimal Discretization of Random Fields (1993)Optimal Discretization of Ran…Stochastic Finite Element Expansion for Random Media (1989)Stochastic Finite Element Exp…Digital simulation of random processes and its applications (1972)Digital simulation of random …Surrogate‐based Bayesian calibration of biomechanical models with isotropic material behavior (2022)Surrogate‐based Bayesian cali…Uncertainty quantification implementations in human hemodynamic flows (2021)Uncertainty quantification im…MULTIFIDELITY ESTIMATORS FOR CORONARY CIRCULATION MODELS UNDER CLINICALLY INFORMED DATA UNCERTAINTY (2020)MULTIFIDELITY ESTIMATORS FOR …Global Sensitivity Analysis for Patient-Specific Aortic Simulations: The Role of Geometry, Boundary Condition and Large Eddy Simulation Modeling Parameters (2020)Global Sensitivity Analysis f…Neumann Expansion for Stochastic Finite Element Analysis (1988)Polynomial Chaos in Stochastic Finite Elements (1990)A nonparametric model of random uncertainties for reduced matrix models in structural dynamics (2000)A generalized dimension‐reduction method for multidimensional integration in stochastic mechanics (2004)Stochastic Finite Elements: A Spectral Approach (1991)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)Uncertainty Quantification in Multiscale Simulation of Materials: A Prospective (2013)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Multifidelity approaches for uncertainty quantification (2019)The effects of clinically‐derived parametric data uncertainty in patient‐specific coronary simulations with deformable walls (2020)A generalized probabilistic learning approach for multi-fidelity uncertainty quantification in complex physical simulations (2022)Structural Reliability under Incomplete Probability Information (1986)Uncertainties in probabilistic numerical analysis of structures and solids-Stochastic finite elements (1997)Convergence study of the truncated Karhunen–Loeve expansion for simulation of stochastic processes (2001)The PHI2 method: a way to compute time-variant reliability (2003)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Sparse tensor discretizations of high-dimensional parametric and stochastic PDEs (2011)Adaptive Smolyak Pseudospectral Approximations (2013)Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark (2021)Uncertainty quantification of resonant ultrasound spectroscopy for material property and single crystal orientation estimation on a complex part (2018)Inverse uncertainty quantification for imprecise structure based on evidence theory and similar system analysis (2021)Assessing input parameter hyperspace and parameter identifiability in a cardiovascular system model via sensitivity analysis (2024)Simulation of Ergodic Multivariate Stochastic Processes (1996)The stochastic finite element method: Past, present and future (2008)An Introduction to Computational Stochastic PDEs (2014)A new uncertainty importance measure (2006)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)SALib: An open-source Python library for Sensitivity Analysis (2017)
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  • 2020MULTIFIDELITY ESTIMATORS FOR CORONARY CIRCULATION MODELS UNDER CLINICALLY INFORMED DATA UNCERTAINTY

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22 cited
  • 2021Uncertainty quantification implementations in human hemodynamic flows20 cited
  • 2020Global Sensitivity Analysis for Patient-Specific Aortic Simulations: The Role of Geometry, Boundary Condition and Large Eddy Simulation Modeling Parameters17 cited
  • 2022Surrogate‐based Bayesian calibration of biomechanical models with isotropic material behavior12 cited