Zobrazeno 1 - 10
of 529
pro vyhledávání: '"Hoekstra, Alfons"'
Cerebral vasospasm, a prolonged constriction of cerebral arteries, is the first cause of morbidity and mortality for patients who survive hospitalisation after aneurysmal subarachnoid haemorrhage. The recent finding that stent-retrievers can successf
Externí odkaz:
http://arxiv.org/abs/2408.17206
Parametric reduced-order modelling often serves as a surrogate method for hemodynamics simulations to improve the computational efficiency in many-query scenarios or to perform real-time simulations. However, the snapshots of the method require to be
Externí odkaz:
http://arxiv.org/abs/2302.11006
Publikováno v:
In Computers in Biology and Medicine September 2024 180
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 vascular injury caused by balloon dilation and stent placement. It may lead to the relapse of angina symptoms or to an acute coronary syndrome. An uncertainty quantification of a
Externí odkaz:
http://arxiv.org/abs/2111.06173
Autor:
Uleman, Jeroen F., Quax, Rick, Melis, René J.F., Hoekstra, Alfons G., Olde Rikkert, Marcel G.M.
Publikováno v:
In Psychiatry Research March 2024 333
Publikováno v:
In Journal of Computational Physics 15 January 2024 497
Uncertainty estimations are presented of the response of a multiscale in-stent restenosis model, as obtained by both non-intrusive and semi-intrusive uncertainty quantification. The in-stent restenosis model is a fully coupled multiscale simulation o
Externí odkaz:
http://arxiv.org/abs/2009.00354
Autor:
Uleman, Jeroen F., Melis, René J.F., Hoekstra, Alfons G., Olde Rikkert, Marcel G.M., Quax, Rick
Publikováno v:
In Journal of Biomedical Informatics September 2023 145
Shear thickening of particle suspensions is characterized by a transition between lubricated and frictional contacts between the particles. Using 3D numerical simulations, we study how the inter-particle friction coefficient influences the effective
Externí odkaz:
http://arxiv.org/abs/1905.09732
In this paper, the sensitivity analysis of a single scale model is employed in order to reduce the input dimensionality of the related multiscale model, in this way, improving the efficiency of its uncertainty estimation. The approach is illustrated
Externí odkaz:
http://arxiv.org/abs/1904.11403