Eigenvector Grouping for Point Cloud Vessel Labeling. - Patryk Rygiel; Maciej Zieba; Tomasz K. Konopczynski (GeoMedIA, 2022)

Coronary Ostia Localization Using Residual U-Net with Heatmap Matching and 3D DSNT. - Milosz Gajowczyk; Patryk Rygiel; Piotr Grodek; Adrian Korbecki; Michal Sobanski; Przemyslaw Podgórski; Tomasz K. Konopczynski (MLMI@MICCAI, 2022)

CenterlinePointNet++: A New Point Cloud Based Architecture for Coronary Artery Pressure Drop and vFFR Estimation. - Patryk Rygiel; Pawel Pluszka; Maciej Zieba; Tomasz K. Konopczynski (MICCAI (7), 2023)

Neural Fields for Continuous Periodic Motion Estimation in 4D Cardiovascular Imaging. - Simone Garzia; Patryk Rygiel; Sven Dummer; Filippo Cademartiri; Simona Celi; Jelmer M. Wolterink (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. - Patryk Rygiel; Dieuwertje Alblas; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Estimation of FFR in coronary arteries with deep learning. - Patryk Rygiel (CoRR, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - Guillermo Bernárdez; Lev Telyatnikov; Marco Montagna; Federica Baccini; Mathilde Papillon; Miquel Ferriol Galmés; Mustafa Hajij; Theodore Papamarkou; Maria Sofia Bucarelli; Olga Zaghen; Johan Mathe; Audun Myers; et al. (CoRR, 2024)

Learning hemodynamic scalar fields on coronary artery meshes: A benchmark of geometric deep learning models. - Guido Nannini; Julian Suk; Patryk Rygiel; Simone Saitta; Luca Mariani; Riccardo Maranga; Andrea Baggiano; Gianluca Pontone; Jelmer M. Wolterink; Alberto Redaelli (Comput. Biol. Medicine, 2025)

Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior. - Julian Suk; Guido Nannini; Patryk Rygiel; Christoph Brune; Gianluca Pontone; Alberto Redaelli; Jelmer M. Wolterink (Comput. Methods Programs Biomed., 2025)

Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models. - Guido Nannini; Julian Suk; Patryk Rygiel; Simone Saitta; Luca Mariani; Riccardo Maragna; Andrea Baggiano; Gianluca Pontone; Jelmer M. Wolterink; Alberto Redaelli (CoRR, 2025)

Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation. - Patryk Rygiel; Julian Suk; Kak Khee Yeung; Christoph Brune; Jelmer M. Wolterink (CoRR, 2025)

Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces. - Dieuwertje Alblas; Patryk Rygiel; Julian Suk; Kaj O. Kappe; Marieke Hofman; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (CoRR, 2025)

Wall Shear Stress Estimation in Abdominal Aortic Aneurysms: Towards Generalisable Neural Surrogate Models. - Patryk Rygiel; Julian Suk; Christoph Brune; Kak Khee Yeung; Jelmer M. Wolterink (CoRR, 2025)