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Results: 54
Number of items: 54
  • Open Access
    Tan, J. S. Y., Závodszky, G., & Sloot, P. M. A. (2018). Understanding Malaria Induced Red Blood Cell Deformation Using Data-Driven Lattice Boltzmann Simulations. In Y. Shi, H. Fu, Y. Tian, V. V. Krzhizhanovskaya, M. H. Lees, J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018 : Proceedings, Part I (pp. 392-403). (Lecture Notes in Computer Science; Vol. 10860). Springer. https://doi.org/10.1007/978-3-319-93698-7_30
  • Open Access
    Závodszky, G., van Rooij, B., Azizi, V., & Hoekstra, A. (2017). Cellular Level In-silico Modeling of Blood Rheology with An Improved Material Model for Red Blood Cells. Frontiers in Physiology, 8, Article 563. https://doi.org/10.3389/fphys.2017.00563
  • Open Access
    Závodszky, G., van Rooij, B., Azizi, V., Alowayyed, S., & Hoekstra, A. (2017). Hemocell: a high-performance microscopic cellular library. Procedia Computer Science, 108, 159-165. https://doi.org/10.1016/j.procs.2017.05.084
  • Open Access
    Hoekstra, A. G., Alowayyed, S., Lorenz, E., Melnikova, N., Mountrakis, L., van Rooij, B., Svitenkov, A., Závodszky, G., & Zun, P. (2016). Towards the virtual artery: a multiscale model for vascular physiology at the physics–chemistry–biology interface. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2080), Article 20160146. https://doi.org/10.1098/rsta.2016.0146
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