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  • A fully automated artificial intelligence-driven software for planning of transcatheter aortic valve replacement, Stefan Toggweiler, Moritz C. Wyler von Ballmoos, Federico Moccetti, André Douverny, Mathias Wolfrum, Ziya Imamoglu, Anton Mohler, Utku Gülan, Won-Keun Kim. Cardiovascular Revascularization Medicine (2024). https://doi.org/10.1016/j.carrev.2024.03.008
  • In vitro investigation of the blood flow downstream of a 3D-printed aortic valve, Zeugin, T., Coulter. F.B., Gülan, U. et al. . Sci Rep 14, 1572 (2024). https://doi.org/10.1038/s41598-024-51676-6
  • A comparative study on the analysis of hemodynamics in the athlete’s heart. Gülan, U., Rossi, V.A., Gotschy, A. et al.  Sci Rep 12, 16666 (2022). https://doi.org/10.1038/s41598-022-20839-8
  • Turbulent Kinetic Energy Loss and Shear Stresses Before and After Transcatheter Aortic Valve Replacement. Toggweiler, S, De Boeck, B, Karakas, O. et al. J Am Coll Cardiol Case Rep. 2022 Mar, 4 (5) 318–320 (2022). https://doi.org/10.1016/j.jaccas.2022.01.009
  • Toward an accurate estimation of wall shear stresses from 4D flow magnetic resonance downstream of a severe stenosis. Corso P, Walheim J, Dillinger H, et al. . Magn Reson Med. 2021; 86: 1531–1543 (2021). https://doi.org/10.1002/mrm.28795
  • A Novel Estimation Approach of Pressure Gradient and Haemodynamic Stresses as Indicators of Pathological Aortic Flow Using Subvoxel Modelling. P. Corso, G. Giannakopoulos, U. Gülan, C. E. Frouzakis and M. Holzner. IEEE Transactions on Biomedical Engineering, vol. 68, no. 3, pp. 980-991 (2021). https://doi.org/10.1109/TBME.2020.3018173
  • Assessment of the flow field in the HeartMate 3 using three-dimensional particle tracking velocimetry and comparison to computational fluid dynamics. B Thamsen, U Gülan, L Wiegmann, C Loosli, M Schmid Daners,et al. Asaio Journal 66 (2), 173-182, 3, (2020).  https://doi.org/10.1097/MAT.0000000000000987
  • A Novel Estimation Approach of Pressure Gradient and Haemodynamic Stresses as Indicators of Pathological Aortic Flow Using Subvoxel Modelling. P Corso, G Giannakopoulos, U Gulan, CE Frouzakis, M Holzner. IEEE Transactions on Biomedical Engineering. (2020).  https://doi.org/10.1080/24748706.2020.1716615
  • Comprehensive In Vitro Study of the Flow Past Two Transcatheter Aortic Valves: Comparison with a Severe Stenotic Case. P Corso, U Gülan, N Cohrs, WJ Stark, F Duru, M Holzner. Annals of biomedical engineering 47 (11), 2241-2257, 1, (2019). https://doi.org/10.1007/s10439-019-02289-y
  • Performance analysis of the transcatheter aortic valve implantation on blood flow hemodynamics: An optical imaging‐based in vitro study. U Gülan, H Appa, P Corso, C Templin, D Bezuidenhout, P Zilla, F Duru, et al. Artificial organs 43 (10), E282-E293, 2, (2019). https://doi.org/10.1111/aor.13504
  • Hemodynamic Changes in the Right Ventricle Induced by Variations of Cardiac Output: A Possible Mechanism for Arrhythmia Occurrence in the Outflow Tract. Gülan, U., Saguner, A.M., Akdis, D. et al. Sci Rep 9, 100 (2019). https://doi.org/10.1038/s41598-018-36614-7

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