Julian Suk

According to our database, Julian Suk authored at least 20 papers between 2019 and 2026.

Collaborative distances:

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

2026

Symmetry in the Wild: The Role of Equivariance in Neural Fluid Surrogates.

Patryk Rygiel, Julian Suk, Kak Khee Yeung, Christoph Brune, Jelmer M. Wolterink

CoRR, May, 2026

Inpainting physics: self-supervised learning for context-driven fluid simulation.

Jonas Weidner, Yeray Martin-Ruisanchez, Daniel Rueckert, Benedikt Wiestler, Julian Suk

CoRR, May, 2026

Physics-informed graph neural networks for flow field estimation in carotid arteries.

Julian Suk, Dieuwertje Alblas, Barbara A. Hutten, Albert Wiegman, Christoph Brune, Pim van Ooij, Jelmer M. Wolterink

Medical Image Anal., 2026

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

Artif. Intell. Medicine, 2026

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, July, 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, January, 2025

SIRE: Scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks.

Dieuwertje Alblas, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink

Medical Image Anal., 2025

TopoBench: A Framework for Benchmarking Topological Deep Learning.

Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Mustafa Hajij, Martin Carrasco, Pavlo Vasylenko, Mathilde Papillon, Ghada Zamzmi, Michael T. Schaub, Jonas Verhellen, Pavel Snopov, Bertran Miquel-Oliver, Manel Gil-Sorribes, Alexis Molina, Victor Guallar, Theodore Long, Julian Suk, Patryk Rygiel, Alexander V. Nikitin, Giordan Escalona, Michael Banf, Dominik Filipiak, Liliya Imasheva, Max Schattauer, Alvaro L. Martinez, Halley Fritze, Marissa Masden, Valentina Sánchez, Manuel Lecha, Andrea Cavallo, Claudio Battiloro, Matthew Piekenbrock, Mauricio Tec, George Dasoulas, Nina Miolane, Simone Scardapane, Theodore Papamarkou

J. Data-centric Mach. Learn. Res., 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 Maranga, Andrea Baggiano, Gianluca Pontone, Jelmer M. Wolterink, Alberto Redaelli

Comput. Biol. Medicine, 2025

GReAT: Leveraging Geometric Artery Data to Improve Wall Shear Stress Assessment.

Julian Suk, Jolanda J. Wentzel, Patryk Rygiel, Joost Daemen, Daniel Rueckert, Jelmer M. Wolterink

Proceedings of the Shape in Medical Imaging, 2025

Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation.

Patryk Rygiel, Julian Suk, Kak Khee Yeung, Christoph Brune, Jelmer M. Wolterink

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2025

2024

Generative modeling of living cells with SO(3)-equivariant implicit neural representations.

David Wiesner, Julian Suk, Sven Dummer, Tereza Necasová, Vladimír Ulman, David Svoboda, Jelmer M. Wolterink

Medical Image Anal., January, 2024

Mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall.

Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink

Comput. Biol. Medicine, 2024

LaB-GATr: Geometric Algebra Transformers for Large Biomedical Surface and Volume Meshes.

Julian Suk, Baris Imre, Jelmer M. Wolterink

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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, Scott Mahan, Hansen Lillemark, Sharvaree 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

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

2023

SE(3) Symmetry Lets Graph Neural Networks Learn Arterial Velocity Estimation from Small Datasets.

Julian Suk, Christoph Brune, Jelmer M. Wolterink

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022

Implicit Neural Representations for Generative Modeling of Living Cell Shapes.

David Wiesner, Julian Suk, Sven Dummer, David Svoboda, Jelmer M. Wolterink

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models.

Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

2019

Practicable Simulation-Free Model Order Reduction by Nonlinear Moment Matching.

Maria Cruz Varona, Raphael Gebhart, Julian Suk, Boris Lohmann

CoRR, 2019