Ireddy A.T., Ghorabe F.D., Shishatskaya E.I., Ryltseva G.A., Dudaev A.E., Kozodaev D.A., Nosonovsky M., Skorb E.V., Zun P.S. Benchmarking Unsupervised Clustering Algorithms for Atomic Force Microscopy Data on Polyhydroxyalkanoate Films. ACS Omega. 2024. Vol. 9. No. 19. pp. 21595–21611.
Fedorets A., Koltsov S., Muravev A.A., Fotin A., Zun P., Orekhov N., Nosonovsky M., Skorb E.V. Observation of a chemical reaction in a levitating microdroplet cluster and droplet-generated music. Chemical Science. 2024. Vol. 15. No. 30. pp. 12067-12076.
Shramko O., Svitenkov A., Zun P. Gravity influence in one-dimensional blood flow modeling. Procedia Computer Science. 2023. Vol. 229. pp. 8-17.
Coupling Between a Finite Element Model of Coronary Artery Mechanics and a Microscale Agent-Based Model of Smooth Muscle Cells Through Trilinear Interpolation
Kakhaia S., Zun P., Ye D., Krzhizhanovskaya V. Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modelling. Reliability Engineering and System Safety. 2023. Vol. 238. pp. 109393.
Fotin A., Zun P. Coupling Between a Finite Element Model of Coronary Artery Mechanics and a Microscale Agent-Based Model of Smooth Muscle Cells Through Trilinear Interpolation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. Vol. 10475. pp. 258–269.
Фотин А.Д., Зун П.С. Гибридизация конечно-элементной и агентной механической моделей сосуда посредством трилинейной интерполяции. Сборник трудов XII Конгресса молодых ученых (Санкт-Петербург, 3-6 апреля 2023 г.). 2023. Т. 3. С. 249-252.
Ye D., Zun P.S., Krzhizhanovskaya V., Hoekstra A. Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling. Journal of the Royal Society Interface. 2022. Vol. 19. No. 187. pp. 20210864.
Huaman I., Zun P., Shramko O., Svitenkov A.I. Coupling 1D blood circulation model and substance absorption model to study drug metabolization. Procedia Computer Science. 2022. Vol. 212. pp. 114-121.
Ye D., Nikishova A., Veen L., Zun P.S., Hoekstra A. Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model. Reliability Engineering and System Safety. 2021. Vol. 214. pp. 107734.
Шрамко О.А., Свитенков А.И., Зун П.С. Может ли индекс коллатерального потока влиять на динамику развития рестеноза?. Российский журнал биомеханики. 2021. Т. 25. № 2. С. 145-158.
Svitenkov A.I., Zun P.S., Shramko O. Stenosis Assessment via Volumetric Flow Rate Calculation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 12744. pp. 707-718.
Shramko O., Svitenkov A.I., Zun P.S. Can collateral flow index have an influence on restenosis growth dynamics?. Russian Journal of Biomechanics. 2021. Vol. 25. No. 2. pp. 123-134.
Suleimenova D., Arabnejad H., Edeling W., Coster D., Luk O., Lakhlili J., Jancauskas V., Kulczewski M., Veen L., Ye D., Zun P., Krzhizhanovskaya V., Hoekstra A., Crommelin D., Coveney P.V., Groen D. Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit. Journal of Computational Science. 2021. Vol. 53. pp. 101402.
Zun P.S., Svitenkov A.I., Hoekstra A.G. Effects of local coronary blood flow dynamics on the predictions of a model of in-stent restenosis. Journal of Biomechanics. 2021. Vol. 120. pp. 110361.
Zun P.S., Narracott A.J., Evans P., Van Rooij B., Hoekstra A.G. A particle-based model for endothelial cell migration under flow conditions. Biomechanics and Modeling in Mechanobiology. 2020. Vol. 19. No. 2. pp. 681-692.
Nikishova A., Veen L., Zun P., Hoekstra A.G. Semi-intrusive multiscale metamodelling uncertainty quantification with application to a model of in-stent restenosis. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2019. Vol. 377. No. 2142. pp. 20180154.
Zun P.S., Narracott A.J., Chiastra C., Gunn J.P., Hoekstra A.G. Location-Specific Comparison Between a 3D In-Stent Restenosis Model and Micro-CT and Histology Data from Porcine In Vivo Experiments. Cardiovascular Engineering and Technology. 2019. Vol. 10. No. 4. pp. 568-582.
VPH conference 2018
Nikishova A., Veen L., Zun P., Hoekstra A.G. Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis. Cardiovascular Engineering and Technology. 2018. Vol. 9. No. 4. pp. 761-774.
Zun P.S., Anikina T., Svitenkov A.I., Hoekstra A.G. A Comparison of Fully-Coupled 3D In-Stent Restenosis Simulations to In-vivo Data. Frontiers in Physiology. 2017. Vol. 8. No. MAY. pp. 284.
Svitenkov A., Zun P., Rekin O., Hoekstra A.G. Partitioning of arterial tree for parallel decomposition of hemodynamic calculations. Procedia Computer Science. 2016. Vol. 80. pp. 977-987.
Multiscale model for studying the interaction between coronary collaterals and in-stent restenosis
Hoekstra A.G., Alowayyed S., Lorenz E., Melnikova N.B., Mountrakis L., Van Rooij B., Svitenkov A.I., Zavodszky G., Zun P. 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. 2016. Vol. 374. No. 2080. pp. 20160146.
Zun P., Hoekstra A.G. On the possible interaction mechanism between collateral vessels and restenosis. Procedia Computer Science. 2015. Vol. 66. pp. 412-418.
Zun P.S., Svitenkov A.I. Modelling of ion convection during electrochemical oxidation of aluminium. Journal of Physics: Conference Series. 2014. Vol. 541. No. 1. pp. 012025.
Российская Федерация