Search results
Results: 356
Number of items: 356
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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 -
van der Velden, J., Asselbergs, F. W., Bakkers, J., Batkai, S., Bertrand, L., Bezzina, C. R., Bot, I., Brundel, B. J. J. M., Carrier, L., Chamuleau, S., Ciccarelli, M., Dawson, D., Davidson, S. M., Dendorfer, A., Duncker, D. J., Eschenhagen, T., Fabritz, L., Falcão-Pires, I., Ferdinandy, P., ... Thum, T. (2022). Animal models and animal-free innovations for cardiovascular research: current status and routes to be explored. Consensus document of the ESC Working Group on Myocardial Function and the ESC Working Group on Cellular Biology of the Heart. Cardiovascular research, 118(15), 3016-3051. https://doi.org/10.1093/CVR/CVAB370 -
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
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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 -
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 -
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 -
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 -
van der Kolk, M., Miller, C., Padmos, R., Azizi, V., & Hoekstra, A. (2021). des-ist: A Simulation Framework to Streamline Event-Based In Silico Trials. 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. III, pp. 648-654). (Lecture Notes in Computer Science; Vol. 12744). Springer. https://doi.org/10.1007/978-3-030-77967-2_53 -
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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