We explore the efficiency of a semi-intrusive uncertainty quantification (UQ) method for
multiscale models as proposed by us in an earlier publication. We applied the multiscale …

Abstract The In-Stent Restenosis 2D model is a full y coupled multiscale simulation of post-
stenting tissue growth, in which the most costly submodel is the blood flow simulation. This …

Purpose Coronary artery stenosis, or abnormal narrowing, is a widespread and potentially
fatal cardiac disease. After treatment by balloon angioplasty and stenting, restenosis may …

A family of semi-intrusive forward uncertainty propagation (UP) methods for multiscale
models is introduced. The methods are semi-intrusive in the sense that inspection of the …

In-stent restenosis is a recurrence of coronary artery narrowing due to vascular injury
caused by balloon dilation and stent placement. It may lead to the relapse of angina …

Disorders of coronary arteries lead to severe health problems such as atherosclerosis,
angina, heart attack and even death. Considering the clinical significance of coronary …

Computational models are used in a variety of fields to improve our understanding of
complex physical phenomena. Recently, the realism of model predictions has been greatly …

To accurately predict the performance of physical systems, it becomes essential for one to
include the effects of input uncertainties into the model system and understand how they …

In this thesis a probabilistic framework for the analysis of large-scale models with a focus on
biomechanics is developed. Data-driven stochastic descriptions of uncertain model input …

Uncertainty quantification (UQ) is a key component when using computational models that
involve uncertainties, eg in decision-making scenarios. In this work, we present uncertainty …