Hemodynamic in Aortic Coarctation Using MRI-Based Inflow Condition. - Jens Schaller; Leonid Goubergrits; Pavlo Yevtushenko; Ulrich Kertzscher; Eugénie Riesenkampff; Titus Kühne (STACOM, 2013)

Impact of patient-specific LVOT inflow profiles on aortic valve prosthesis and ascending aorta hemodynamics. - Jan Brüning; Florian Hellmeier; Pavlo Yevtushenko; Marcus Kelm; Sarah Nordmeyer; Simon H. Sündermann; Titus Kühne; Leonid Goubergrits (J. Comput. Sci., 2018)

Unsupervised Learning and Statistical Shape Modeling of the Morphometry and Hemodynamics of Coarctation of the Aorta. - Bente Thamsen; Pavlo Yevtushenko; Lina Gundelwein; Hans Lamecker; Titus Kühne; Leonid Goubergrits (MICCAI (4), 2020)

Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability. - Bente Thamsen; Pavlo Yevtushenko; Lina Gundelwein; Arnaud A. A. Setio; Hans Lamecker; Marcus Kelm; Marie Schafstedde; Tobias Heimann; Titus Kühne; Leonid Goubergrits (IEEE Trans. Medical Imaging, 2021)

Deep Learning Based Centerline-Aggregated Aortic Hemodynamics: An Efficient Alternative to Numerical Modeling of Hemodynamics. - Pavlo Yevtushenko; Leonid Goubergrits; Lina Gundelwein; Arnaud A. A. Setio; Heiko Ramm; Hans Lamecker; Tobias Heimann; Alexander Meyer; Titus Kühne; Marie Schafstedde (IEEE J. Biomed. Health Informatics, 2022)

Deep learning-based cardiovascular modelling (Deep Learning-basierte kardiovaskuläre Modellierung) - Pavlo Yevtushenko (2023)