Bayesian Uncertainty Quantification with Multi-Fidelity Data and Gaussian Processes for Impedance Cardiography of Aortic Dissection

Numerical Simulation of Conductivity Changes in the Human Thorax Caused by Aortic Dissection

(2019) Alice Reinbacher-Kostinger et al.   IEEE TRANSACTIONS ON MAGNETICS

Inferring solutions of differential equations using noisy multi-fidelity data

(2017) Maziar Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling

(2017) P. Perdikaris et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

On the impact of modelling assumptions in multi-scale, subject-specific models of aortic haemodynamics

(2016) Jordi Alastruey et al.   Journal of the Royal Society Interface

A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications

(2015) Vinzenz Gregor Eck et al.   International Journal for Numerical Methods in Biomedical Engineering

Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme

(2014) Jonas Biehler et al.   Biomechanics and Modeling in Mechanobiology

RECURSIVE CO-KRIGING MODEL FOR DESIGN OF COMPUTER EXPERIMENTS WITH MULTIPLE LEVELS OF FIDELITY

(2014) Loic Le Gratiet et al.   International Journal for Uncertainty Quantification

Accurate Uncertainty Quantification Using Inaccurate Computational Models

(2009) Phaedon-Stelios Koutsourelakis   SIAM JOURNAL ON SCIENTIFIC COMPUTING