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Senol Piskin

Researcher at University of Texas at San Antonio

Publications -  34
Citations -  443

Senol Piskin is an academic researcher from University of Texas at San Antonio. The author has contributed to research in topics: Blood flow & Medicine. The author has an hindex of 9, co-authored 30 publications receiving 330 citations. Previous affiliations of Senol Piskin include Istanbul Technical University & Yahoo!.

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The Computational Fluid Dynamics Rupture Challenge 2013--Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms.

TL;DR: The International CFD Rupture Challenge 2013 seeks to comment on the sensitivity of these various CFD assumptions to predict the rupture by undertaking a comparison of the rupture and blood-flow predictions from a wide range of independent participants utilizing a range of CFD approaches.
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Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge

Kristian Valen-Sendstad, +58 more
TL;DR: While segmentation and CFD solver techniques may be difficult to standardize across groups, the findings suggest that some of the variability in image-based CFD could be reduced by establishing guidelines for model extents, inflow rates, and blood properties, and by encouraging the reporting of normalized hemodynamic parameters.
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Analysis of the effects of different pulsatile inlet profiles on the hemodynamical properties of blood flow in patient specific carotid artery with stenosis

TL;DR: The most important conclusion obtained from this model is the existence of negative relation between velocity at several inner points of the internal carotid artery and velocity at the inlet of the common carotids artery.
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Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): Phase I: Segmentation

Philipp Berg, +54 more
TL;DR: The study emphasizes the need for careful processing of initial segmentation results for a realistic assessment of clinically relevant morphological parameters in order to highlight the variability of surface reconstruction.
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Hemodynamics of patient-specific aorta-pulmonary shunt configurations

TL;DR: An intelligent decision-making process for a real patient having pulmonary artery atresia and ventricular septal defect is demonstrated and it is hypothesized that the post-operative performance of the surgical shunt can be predicted through computational blood flow simulations that consider patient size, shunt configuration, cardiac output and the complex three-dimensional disease anatomy.