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Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling

Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling

by Gabor Zavodszky | Mar 22, 2022 | Hot News, News

Dongwei Ye, Pavel Zun, Valeria Krzhizhanovskaya and Alfons G. Hoekstra have published a new paper on the uncertainty quantification of a 3D in-stent restenosis model in the Journal of the Royal Society Interface. In-Stent Restenosis is a recurrence of coronary artery...
Best Application Paper Award at the EuroXR2021 conference

Best Application Paper Award at the EuroXR2021 conference

by Rick Quax | Nov 30, 2021 | Hot News, News

Khalid Azougagh (MSc Information Studies graduate), Jesse van den Berge (BSc Informatica graduate) and Robert Belleman (Computational Science Lab) won the “Best Application Paper Award” at the EuroXR2021 conference for their paper “A prototype for...
The Effects of Micro-vessel Curvature Induced Elongational Flows on Platelet Adhesion

The Effects of Micro-vessel Curvature Induced Elongational Flows on Platelet Adhesion

by Gabor Zavodszky | Oct 27, 2021 | Hot News, News

Christian Spieker, Gábor Závodszky, Max van der Kolk & Alfons Hoekstra have published a new paper on the effects of local vessel curvature on platelet adhesion in the Virtual Physiological Human special issue of the Annals of Biomedical Engineering. The emerging...

PhD position at the interface of statistical physics, information theory and computer science. 4 years, starting in the Fall of 2021

by Gabor Zavodszky | Jul 22, 2021 | Jobs, News

We are seeking a highly motivated candidate to work on the use of classical spin models for high order pattern detection and information coding in binary data. In this context, recent studies have highlighted the existence of linear transformations (called gauge...
Effects of local coronary blood flow dynamics on the predictions of a model of in-stent restenosis

Effects of local coronary blood flow dynamics on the predictions of a model of in-stent restenosis

by Gabor Zavodszky | May 12, 2021 | Hot News, News

Pavel Zun, Andrey Svitenkov and Alfons Hoekstra have published a new paper on the effects of local coronary blood flow dynamics on the predictions of a model of in-stent restenosis.Computational models are increasingly used to study cardiovascular disease. However,...
Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model

Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model

by Gabor Zavodszky | May 7, 2021 | Hot News, News

Dongwei Ye, Anna Nikishova, Lourens Veen, Pavel Zun and Alfons Hoekstra has published a new paper on Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model in Reliability Engineering & System SafetyThe In-Stent...
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News

  • March 22, 2022Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling
  • November 30, 2021Best Application Paper Award at the EuroXR2021 conference
  • October 27, 2021The Effects of Micro-vessel Curvature Induced Elongational Flows on Platelet Adhesion
  • July 22, 2021PhD position at the interface of statistical physics, information theory and computer science. 4 years, starting in the Fall of 2021
  • May 12, 2021Effects of local coronary blood flow dynamics on the predictions of a model of in-stent restenosis
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