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Results: 355
Number of items: 355
  • Open Access
    Józsa, T. I., Padmos, R. M., El-Bouri, W. K., Hoekstra, A. G., & Payne, S. J. (2021). On the Sensitivity Analysis of Porous Finite Element Models for Cerebral Perfusion Estimation. Annals of Biomedical Engineering, 49(12), 3647–3665. https://doi.org/10.1007/s10439-021-02808-w
  • Open Access
    Józsa, T. I., Padmos, R. M., Samuels, N., El-Bouri, W. K., Hoekstra, A. G., & Payne, S. J. (2021). A porous circulation model of the human brain for in silico clinical trials in ischaemic stroke. Interface Focus, 11(1), Article 20190127. https://doi.org/10.1098/rsfs.2019.0127
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
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