Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Zun, Pavel"'
Autor:
Huaman, Israel A., Ghorabe, Fares D. E., Chumakova, Sofya S., Pisarenko, Alexandra A., Dudaev, Alexey E., Volova, Tatiana G., Ryltseva, Galina A., Ulasevich, Sviatlana A., Shishatskaya, Ekaterina I., Skorb, Ekaterina V., Zun, Pavel S.
Advanced image segmentation and processing tools present an opportunity to study cell processes and their dynamics. However, image analysis is often routine and time-consuming. Nowadays, alternative data-driven approaches using deep learning are pote
Externí odkaz:
http://arxiv.org/abs/2410.18738
One-dimensional blood flow model accuracy has been verified in many studies. This work is about introducing gravity into a one-dimensional model. For this purpose, gravitational force was introduced into the existing model. The boundary conditions mu
Externí odkaz:
http://arxiv.org/abs/2306.13768
Disorders of coronary arteries lead to severe health problems such as atherosclerosis, angina, heart attack and even death. Considering the clinical significance of coronary arteries, an efficient computational model is a vital step towards tissue en
Externí odkaz:
http://arxiv.org/abs/2204.02167
Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling
In-Stent Restenosis is a recurrence of coronary artery narrowing due to vascular injury caused by balloon dilation and stent placement. It may lead to the relapse of angina symptoms or to an acute coronary syndrome. An uncertainty quantification of a
Externí odkaz:
http://arxiv.org/abs/2111.06173
Uncertainty estimations are presented of the response of a multiscale in-stent restenosis model, as obtained by both non-intrusive and semi-intrusive uncertainty quantification. The in-stent restenosis model is a fully coupled multiscale simulation o
Externí odkaz:
http://arxiv.org/abs/2009.00354
Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modelling
Publikováno v:
In Reliability Engineering and System Safety October 2023 238
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Procedia Computer Science 2022 212:114-121
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Reliability Engineering and System Safety October 2021 214