P.T. Rygiel MSc (Patryk)

Expertise

• Computer Science

  • Vessel Segmentation
  • Segmentation Model

• Engineering

  • Models

• Medicine and Dentistry

  • Abdominal Aortic Aneurysm
  • Cardiovascular Disease
  • Diagnosis
  • Iliac Artery
  • Treatment Planning

Organisations

Publications

Other contributions

• Rygiel, P., Płuszka, P., Zieba, M., Konopczyński, T. (2023). CenterlinePointNet++: A New Point Cloud Based Architecture for Coronary Artery Pressure Drop and vFFR Estimation. In: Greenspan, H., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. MICCAI 2023. Lecture Notes in Computer Science, vol 14226. Springer, Cham. https://doi.org/10.1007/978-3-031-43990-2_73

• Rygiel Patryk, Zieba Maciej and Konopczynski Tomasz. “Eigenvector Grouping for Point Cloud Vessel Labeling.” Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, edited by Erik Bekkers et al., vol. 194, PMLR, 2022, pp. 72–84, https://proceedings.mlr.press/v194/rygiel22a.html.

• Gajowczyk Milosz*, Rygiel Patryk*, Grodek Piotr, Korbecki Adrian, Sobanski Michal, Podgorski Przemyslaw and Konopczynski Tomasz. “Coronary Ostia Localization Using Residual U-Net with Heatmap Matching and 3D DSNT.” Machine Learning in Medical Imaging (MLMI 2022) held with MICCAI 2022, edited by Chunfeng Lian et al., Springer Nature Switzerland, 2022, pp. 318–27. (* equal contribution) 

Research profiles

Organisations