Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 355
Number of items: 355
  • Open Access
    Ye, D. (2022). Surrogate modelling and uncertainty quantification for multiscale simulation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Czaja, B., de Bouter, J., Heisler, M., Závodszky, G., Karst, S., Sarunic, M., Maberley, D., & Hoekstra, A. (2022). The effect of stiffened diabetic red blood cells on wall shear stress in a reconstructed 3D microaneurysm. Computer Methods in Biomechanics and Biomedical Engineering, 25(15), 1691-1709. https://doi.org/10.1080/10255842.2022.2034794
  • Uleman, J. F., Quax, R., Melis, R. J. F., Hoekstra, A., & Olde Rikkert, M. G. M. (2021). An individualized systems model to optimize Alzheimer’s disease prevention strategies. Alzheimer's & Dementia, 17(S10), Article e050885. https://doi.org/10.1002/alz.050885
  • Open Access
    Georgakopoulou, T., van der Wijk, A.-E., Bakker, E. N. T. P., vanBavel, E., & INSIST investigators (2021). Quantitative 3D analysis of tissue damage in a rat model of microembolization. Journal of Biomechanics, 128, Article 110723. https://doi.org/10.1016/j.jbiomech.2021.110723
  • 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
    Suleimenova, D., Arabnejad, H., Edeling, W. N., Coster, D., Luk, O. O., Lakhlili, J., Jancauskas, V., Kulczewski, M., Veen, L., Ye, D., Zun, P., Krzhizhanovskaya, V., Hoekstra, A., Crommelin, D., Coveney, P. V., & Groen, D. (2021). Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit. Journal of Computational Science, 53, Article 101402. https://doi.org/10.1016/j.jocs.2021.101402
  • Open Access
    Miller, C., Padmos, R. M., van der Kolk, M., Józsa, T. I., Samuels, N., Xue, Y., Payne, S. J., & Hoekstra, A. G. (2021). In silico trials for treatment of acute ischemic stroke: Design and implementation. Computers in Biology and Medicine, 137, Article 104802. https://doi.org/10.1016/j.compbiomed.2021.104802
  • 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
    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
Page 4 of 36