Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 358
Number of items: 358
  • Open Access
    Spieker, C. J., Kern, A. Y., Korin, N., Mangin, P. H., Hoekstra, A. G., & Závodszky, G. (2024). Carotid single- and dual-layer stents reduce the wall adhesion of platelets by influencing flow and cellular transport. Computers in Biology and Medicine, 183, Article 109313. https://doi.org/10.1016/j.compbiomed.2024.109313
  • Open Access
    Hao, Y., Tersteeg, C., Hoekstra, A. G., & Závodszky, G. (2024). The effect of flow-derived mechanical cues on the growth and morphology of platelet aggregates under low, medium, and high shear rates. Computers in Biology and Medicine, 180, Article 109010. https://doi.org/10.1016/j.compbiomed.2024.109010
  • Open Access
    Spieker, C. J. (2024). Platelet aggregation in complex vessel geometries: An in silico study on cellular blood flow mechanics. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Hoekstra, A. G., Marquering, H., & GEMINI consortium (2024). Towards a Generation of Digital Twins in Healthcare of Ischaemic and Haemorrhagic Stroke. In L. Franco, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2024: 24th International Conference, Malaga, Spain, July 2–4, 2024 : proceedings (Vol. III, pp. 239-245). (Lecture Notes in Computer Science; Vol. 14834). Springer. https://doi.org/10.1007/978-3-031-63759-9_29
  • Open Access
    Ye, D., Krzhizhanovskaya, V., & Hoekstra, A. G. (2024). Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots. Journal of computational Physics, 497, Article 112639. https://doi.org/10.1016/j.jcp.2023.112639
  • Open Access
    Hao, Y., Hoekstra, A. G., & Závodszky, G. (2024). A Three-Dimensional Fluid-Structure Interaction Model for Platelet Aggregates Based on Porosity-Dependent Neo-Hookean Material. In L. Franco, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2024: 24th International Conference, Malaga, Spain, July 2–4, 2024 : proceedings (Vol. VII, pp. 48-62). (Lecture Notes in Computer Science; Vol. 14838). Springer. https://doi.org/10.1007/978-3-031-63783-4_5
  • Open Access
    Uleman, J. F., Quax, R., Melis, R. J. F., Hoekstra, A. G., & Olde Rikkert, M. G. M. (2024). The need for systems thinking to advance Alzheimer's disease research. Psychiatry Research, 333, Article 115741. https://doi.org/10.1016/j.psychres.2024.115741
  • Open Access
    Boelrijk, J. H. M. (2024). Bayesian optimization for liquid chromatography separations. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Uleman, J. F., Melis, R. J. F., Hoekstra, A. G., Olde Rikkert, M. G. M., Quax, R., & the Australian Imaging, Biomarker and Lifestyle study of Aging and Alzheimer's Disease Neuroimaging Initiative studies (2023). Exploring the potential impact of multi-factor precision interventions in Alzheimer's disease with system dynamics. Journal of Biomedical Informatics, 145, Article 104462. https://doi.org/10.1016/j.jbi.2023.104462
  • Open Access
    Uleman, J. F., Melis, R. J. F., Ntanasi, E., Scarmeas, N., Hoekstra, A. G., Quax, R., Olde Rikkert, M. G. M., & Alzheimer's Disease Neuroimaging Initiative (2023). Simulating the multicausality of Alzheimer's disease with system dynamics. Alzheimer's and Dementia, 19(6), 2633-2654. https://doi.org/10.1002/alz.12923
Page 2 of 36