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2020 – today
- 2026
[j4]Dieuwertje Alblas
, Patryk Rygiel, Julian Suk, Kaj O. Kappe, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink:
Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces. Artif. Intell. Medicine 172: 103323 (2026)- [j3]Michal Sobanski, Milosz Gajowczyk, Patryk Rygiel, Martyna Sobanska, Adrian Korbecki, Kamil Litwinowicz, Arkadiusz Kacala, Justyna Korbecka, Agata Zdanowicz-Ratajczyk, Edyta Dziadkowiak, Maciej Sebastian, Piotr Wiland, Grzegorz Trybek, Agata Sebastian, Joanna Bladowska:
Application of Fully Convolutional Neural Networks in the Assessment of Cerebral White Matter Involvement in Primary Sjögren's Syndrome. Neuroinformatics 24(1): 3 (2026) - 2025
- [j2]Guido Nannini, Julian Suk, Patryk Rygiel, Simone Saitta, Luca Mariani, Riccardo Maranga, Andrea Baggiano, Gianluca Pontone, Jelmer M. Wolterink, Alberto Redaelli:
Learning hemodynamic scalar fields on coronary artery meshes: A benchmark of geometric deep learning models. Comput. Biol. Medicine 195: 110477 (2025) - [j1]Julian Suk, Guido Nannini, Patryk Rygiel, Christoph Brune, Gianluca Pontone, Alberto Redaelli, Jelmer M. Wolterink:
Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior. Comput. Methods Programs Biomed. 271: 108958 (2025) - [c6]Julian Suk, Jolanda J. Wentzel, Patryk Rygiel, Joost Daemen, Daniel Rueckert, Jelmer M. Wolterink:
GReAT: Leveraging Geometric Artery Data to Improve Wall Shear Stress Assessment. ShapeMI@MICCAI 2025: 277-291 - [i11]Guido Nannini, Julian Suk, Patryk Rygiel, Simone Saitta, Luca Mariani, Riccardo Maragna, Andrea Baggiano, Gianluca Pontone, Jelmer M. Wolterink, Alberto Redaelli:
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models. CoRR abs/2501.09046 (2025) - [i10]Patryk Rygiel, Julian Suk, Kak Khee Yeung, Christoph Brune, Jelmer M. Wolterink:
Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation. CoRR abs/2503.03453 (2025) - [i9]Dieuwertje Alblas, Patryk Rygiel, Julian Suk, Kaj O. Kappe, Marieke Hofman, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink:
Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces. CoRR abs/2506.08729 (2025) - [i8]Patryk Rygiel, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink:
Wall Shear Stress Estimation in Abdominal Aortic Aneurysms: Towards Generalisable Neural Surrogate Models. CoRR abs/2507.22817 (2025) - [i7]Caner Özer, Patryk Rygiel, Bram de Wilde, Ilkay Öksüz, Jelmer M. Wolterink:
Beyond Pixels: Medical Image Quality Assessment with Implicit Neural Representations. CoRR abs/2508.05168 (2025) - [i6]Julian Suk, Jolanda J. Wentzel, Patryk Rygiel, Joost Daemen, Daniel Rueckert, Jelmer M. Wolterink:
GReAT: leveraging geometric artery data to improve wall shear stress assessment. CoRR abs/2508.19030 (2025) - 2024
- [c5]Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink:
Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. CMRxRecon/MBAS/STACOM@MICCAI 2024: 269-279 - [c4]Simone Garzia, Patryk Rygiel, Sven Dummer, Filippo Cademartiri, Simona Celi, Jelmer M. Wolterink:
Neural Fields for Continuous Periodic Motion Estimation in 4D Cardiovascular Imaging. CMRxRecon/MBAS/STACOM@MICCAI 2024: 378-389 - [i5]Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink:
Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. CoRR abs/2403.15314 (2024) - [i4]Patryk Rygiel:
Estimation of FFR in coronary arteries with deep learning. CoRR abs/2405.12224 (2024) - [i3]Simone Garzia, Patryk Rygiel, Sven Dummer, Filippo Cademartiri, Simona Celi, Jelmer M. Wolterink:
Neural Fields for Continuous Periodic Motion Estimation in 4D Cardiovascular Imaging. CoRR abs/2407.20728 (2024) - [i2]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, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - [i1]Julian Suk, Guido Nannini, Patryk Rygiel, Christoph Brune, Gianluca Pontone, Alberto Redaelli, Jelmer M. Wolterink:
Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior. CoRR abs/2410.11920 (2024) - 2023
- [c3]Patryk Rygiel, Pawel Pluszka, Maciej Zieba, Tomasz K. Konopczynski:
CenterlinePointNet++: A New Point Cloud Based Architecture for Coronary Artery Pressure Drop and vFFR Estimation. MICCAI (7) 2023: 781-790 - 2022
- [c2]Patryk Rygiel, Maciej Zieba, Tomasz K. Konopczynski:
Eigenvector Grouping for Point Cloud Vessel Labeling. GeoMedIA 2022: 72-84 - [c1]Milosz Gajowczyk, Patryk Rygiel, Piotr Grodek, Adrian Korbecki, Michal Sobanski, Przemyslaw Podgórski, Tomasz K. Konopczynski:
Coronary Ostia Localization Using Residual U-Net with Heatmap Matching and 3D DSNT. MLMI@MICCAI 2022: 318-327
Coauthor Index
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