Search results
Results: 355
Number of items: 355
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Coveney, P. V., Groen, D., & Hoekstra, A. G. (2021). Reliability and reproducibility in computational science: implementing validation, verification and uncertainty quantification in silico. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2197), Article 20200409. https://doi.org/10.1098/rsta.2020.0409 -
Spieker, C. J., Závodszky, G., Mouriaux, C., van der Kolk, M., Gachet, C., Mangin, P. H., & Hoekstra, A. G. (2021). The Effects of Micro-vessel Curvature Induced Elongational Flows on Platelet Adhesion. Annals of Biomedical Engineering, 49(12), 3609–3620. https://doi.org/10.1007/s10439-021-02870-4 -
Ye, D., Veen, L., Nikishova, A., Lakhlili, J., Edeling, W., Luk, O. O., Krzhizhanovskaya, V. V., & Hoekstra, A. G. (2021). Uncertainty quantification patterns for multiscale models. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2197), Article 20200072. https://doi.org/10.1098/rsta.2020.0072 -
Miller, C., van der Kolk, M., Padmos, R., Józsa, T., & Hoekstra, A. (2021). Uncertainty Quantification of Coupled 1D Arterial Blood Flow and 3D Tissue Perfusion Models Using the INSIST Framework. In M. Paszynski, D. Kranzlmüller, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021 : proceedings (Vol. VI, pp. 691-697). (Lecture Notes in Computer Science; Vol. 12747). Springer. https://doi.org/10.1007/978-3-030-77980-1_52 -
Padmos, R. M., Arrarte Terreros, N., Józsa, T. I., Závodszky, G., Marquering, H. A., Majoie, C. B. L. M., & Hoekstra, A. G. (2021). Modelling the leptomeningeal collateral circulation during acute ischaemic stroke. Medical Engineering and Physics, 91, 1-11. https://doi.org/10.1016/j.medengphy.2021.03.003 -
Luraghi, G., Bridio, S., Miller, C., Hoekstra, A., Rodriguez Matas, J. F., & Migliavacca, F. (2021). Applicability analysis to evaluate credibility of an in silico thrombectomy procedure. Journal of Biomechanics, 126, Article 110631. https://doi.org/10.1016/j.jbiomech.2021.110631 -
Ye, D., Nikishova, A., Veen, L., Zun, P., & Hoekstra, A. G. (2021). Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model. Reliability Engineering and System Safety, 214, Article 107734. https://doi.org/10.1016/j.ress.2021.107734 -
van Rooij, B. J. M., Závodszky, G., Hoekstra, A. G., & Ku, D. N. (2021). Haemodynamic flow conditions at the initiation of high-shear platelet aggregation: a combined in vitro and cellular in silico study. Interface Focus, 11(1), Article 20190126. https://doi.org/10.1098/rsfs.2019.0126 -
Zun, P., Svitenkov, A., & Hoekstra, A. (2021). Effects of local coronary blood flow dynamics on the predictions of a model of in-stent restenosis. Journal of Biomechanics, 120, Article 110361. https://doi.org/10.1016/j.jbiomech.2021.110361 -
Uleman, J. F., Melis, R. J. F., Quax, R., van der Zee, E. A., Thijssen, D., Dresler, M., van de Rest, O., van der Velpen, I. F., Adams, H. H. H., Schmand, B., de Kok, I. M. C. M., de Bresser, J., Richard, E., Verbeek, M., Hoekstra, A. G., Rouwette, E. A. J. A., & Olde Rikkert, M. G. M. (2021). Mapping the multicausality of Alzheimer’s disease through group model building. GeroScience, 43(2), 829–843. https://doi.org/10.1007/s11357-020-00228-7
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