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Results: 358
Number of items: 358
  • Open Access
    Padmos, R. M., Arrarte Terreros, N., Józsa, T. I., Závodszky, G., Marquering, H. A., Majoie, C. B. L. M., Payne, S. J., & Hoekstra, A. G. (2022). Modelling collateral flow and thrombus permeability during acute ischaemic stroke. Journal of the Royal Society Interface, 19(195), Article 20220649. https://doi.org/10.1098/rsif.2022.0649
  • Open Access
    Wang, L., van Poelgeest, E. P., Pronk, A. C., Daams, J. G., Leeflang, M. M. G., Hoekstra, A. G., & van der Velde, N. (2022). Impact of cardiovascular evaluations and interventions on fall risk in older adults: a protocol for a scoping review and evidence map. BMJ Open, 12(4), Article e057959. https://doi.org/10.1136/bmjopen-2021-057959
  • Open Access
    Petkantchin, R., Padmos, R., Zouaoui Boudjeltia, K., Raynaud, F., Chopard, B., & INSIST investigators (2022). Thrombolysis: Observations and numerical models. Journal of Biomechanics, 132, Article 110902. https://doi.org/10.1016/j.jbiomech.2021.110902
  • Open Access
    Ye, D. (2022). Surrogate modelling and uncertainty quantification for multiscale simulation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Padmos, R. M. (2022). Modelling cerebral blood flow and perfusion during acute ischaemic stroke. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Padmos, R. M., Józsa, T. I., El-Bouri, W. K., Konduri, P. R., Payne, S. J., & Hoekstra, A. G. (2021). Coupling one-dimensional arterial blood flow to three-dimensional tissue perfusion models for in silico trials of acute ischaemic stroke. Interface Focus, 11(1), Article 20190125. https://doi.org/10.1098/rsfs.2019.0125
  • Open Access
    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
  • Open Access
    Coveney, P. V., Hoekstra, A., Rodriguez, B., & Viceconti, M. (2021). Computational biomedicine. Part II: Organs and systems. Interface Focus, 11(1), Article 20200082. https://doi.org/10.1098/rsfs.2020.0082
  • 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
    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
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