Pavlo Yevtushenko

According to our database, Pavlo Yevtushenko authored at least 6 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Pavlo Yevtushenko

PhD thesis, 2023

2022

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

2021

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

2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2018

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

2013

Hemodynamic in Aortic Coarctation Using MRI-Based Inflow Condition.

Jens Schaller, Leonid Goubergrits, Pavlo Yevtushenko, Ulrich Kertzscher, Eugénie Riesenkampff, Titus Kühne

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2013