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05/19/2023
Bayesian approach to Gaussian process regression with uncertain inputs
Conventional Gaussian process regression exclusively assumes the existen...
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02/21/2023
Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots
Computational fluid dynamics is a common tool in cardiovascular science ...
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04/02/2022
Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modeling
Disorders of coronary arteries lead to severe health problems such as at...
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11/11/2021
Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling
In-Stent Restenosis is a recurrence of coronary artery narrowing due to ...
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09/01/2020
