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ORCIDPavlo Yevtushenko
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Books and Theses
- 2023
[b1]Pavlo Yevtushenko:
Deep learning-based cardiovascular modelling (Deep Learning-basierte kardiovaskuläre Modellierung). TU Berlin, Germany, 2023
Journal Articles
- 2022
- [j3]Pavlo Yevtushenko
, Leonid Goubergrits, Lina Gundelwein, Arnaud A. A. Setio, Heiko Ramm, Hans Lamecker, Tobias Heimann, Alexander Meyer, Titus Kühne, Marie Schafstedde:
Deep Learning Based Centerline-Aggregated Aortic Hemodynamics: An Efficient Alternative to Numerical Modeling of Hemodynamics. IEEE J. Biomed. Health Informatics 26(4): 1815-1825 (2022) - 2021
- [j2]Bente Thamsen, Pavlo Yevtushenko, Lina Gundelwein, Arnaud A. A. Setio, Hans Lamecker, Marcus Kelm, Marie Schafstedde, Tobias Heimann, Titus Kühne, Leonid Goubergrits:
Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability. IEEE Trans. Medical Imaging 40(5): 1438-1449 (2021) - 2018
- [j1]Jan Brüning, Florian Hellmeier, Pavlo Yevtushenko, Marcus Kelm, Sarah Nordmeyer, Simon H. Sündermann, Titus Kühne, Leonid Goubergrits:
Impact of patient-specific LVOT inflow profiles on aortic valve prosthesis and ascending aorta hemodynamics. J. Comput. Sci. 24: 91-100 (2018)
Conference and Workshop Papers
- 2020
- [c2]Bente Thamsen, Pavlo Yevtushenko, Lina Gundelwein, Hans Lamecker, Titus Kühne, Leonid Goubergrits:
Unsupervised Learning and Statistical Shape Modeling of the Morphometry and Hemodynamics of Coarctation of the Aorta. MICCAI (4) 2020: 776-785 - 2013
- [c1]Jens Schaller, Leonid Goubergrits, Pavlo Yevtushenko, Ulrich Kertzscher, Eugénie Riesenkampff, Titus Kühne:
Hemodynamic in Aortic Coarctation Using MRI-Based Inflow Condition. STACOM 2013: 65-73
Coauthor Index
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