| Coronary ostia localization using residual U-Net with heatmap matching and 3D DSNT M Gajowczyk, P Rygiel, P Grodek, A Korbecki, M Sobanski, P Podgorski, ... International Workshop on Machine Learning in Medical Imaging, 318-327, 2022 | 4 | 2022 |
| CenterlinePointNet++: A New Point Cloud Based Architecture for Coronary Artery Pressure Drop and vFFR Estimation P Rygiel, P Płuszka, M Ziȩba, T Konopczyński International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Eigenvector grouping for point cloud vessel labeling P Rygiel, M Zieba, T Konopczynski Geometric Deep Learning in Medical Image Analysis, 72-84, 2022 | 1 | 2022 |
| Neural Fields for Continuous Periodic Motion Estimation in 4D Cardiovascular Imaging S Garzia, P Rygiel, S Dummer, F Cademartiri, S Celi, JM Wolterink arXiv preprint arXiv:2407.20728, 2024 | | 2024 |
| Estimation of FFR in coronary arteries with deep learning P Rygiel arXiv preprint arXiv:2405.12224, 2024 | | 2024 |
| Global Control for Local SO (3)-Equivariant Scale-Invariant Vessel Segmentation P Rygiel, D Alblas, C Brune, KK Yeung, JM Wolterink arXiv preprint arXiv:2403.15314, 2024 | | 2024 |
| A method of detection of a landmark in a volume of medical images T Konopczyński, P Rygiel, M Gajowczyk, P Gródek, Ł Moroz, B Cupiał WO Patent WO2023166330A1, 2023 | | 2023 |
| AAA-100: A Curated Dataset of 3D Watertight Abdominal Aortic Aneurysm Models P Rygiel, D Alblas, C Brune, S Smorenburg, KK Yeung, JM Wolterink | | |
Tomasz KonopczyńskiHeidelberg University在 iwr.uni-heidelberg.de 的电子邮件经过验证
