Search results
Results: 358
Number of items: 358
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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 -
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 -
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 -
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 -
Uleman, J., Melis, R. J. F., Hoekstra, A., Quax, R., & Olde Rikkert, M. G. M. (2020). Uncovering the multicausality of Alzheimer’s disease: A systems modeling approach: Epidemiology/Risk and protective factors in MCI and dementia. Alzheimer's & Dementia, 16(S10), Article e041105. https://doi.org/10.1002/alz.041105
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van Rooij, B. J. M., Závodszky, G., Hoekstra, A. G., & Ku, D. N. (2020). Biorheology of occlusive thrombi formation under high shear: in vitro growth and shrinkage. Scientific Reports, 10, Article 18604. https://doi.org/10.1038/s41598-020-74518-7 -
Nikishova, A., Comi, G. E., & Hoekstra, A. G. (2020). Sensitivity analysis based dimension reduction of multiscale models. Mathematics and Computers in Simulation, 170, 205-220. https://doi.org/10.1016/j.matcom.2019.10.013 -
Czaja, B., Závodszky, G., & Hoekstra, A. (2020). A Heterogeneous Multi-scale Model for Blood Flow. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. VI, pp. 403-409). (Lecture Notes in Computer Science; Vol. 12142). Springer. https://doi.org/10.1007/978-3-030-50433-5_31
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