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Julian Suk
Julian Suk
Verified email at utwente.nl - Homepage
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Cited by
Year
Mesh convolutional neural networks for wall shear stress estimation in 3D artery models
J Suk, P Haan, P Lippe, C Brune, JM Wolterink
International Workshop on Statistical Atlases and Computational Models of …, 2021
242021
Mesh neural networks for SE (3)-equivariant hemodynamics estimation on the artery wall
J Suk, P de Haan, P Lippe, C Brune, JM Wolterink
Computers in Biology and Medicine 173, 108328, 2024
192024
Implicit neural representations for generative modeling of living cell shapes
D Wiesner, J Suk, S Dummer, D Svoboda, JM Wolterink
International Conference on Medical Image Computing and Computer-Assisted …, 2022
182022
Surfing on the neural sheaf
J Suk, L Giusti, T Hemo, M Lopez, K Barmpas, C Bodnar
NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022
122022
SE (3) symmetry lets graph neural networks learn arterial velocity estimation from small datasets
J Suk, C Brune, JM Wolterink
International Conference on Functional Imaging and Modeling of the Heart …, 2023
112023
Generative modeling of living cells with so (3)-equivariant implicit neural representations
D Wiesner, J Suk, S Dummer, T Nečasová, V Ulman, D Svoboda, ...
Medical image analysis 91, 102991, 2024
92024
Equivariant graph neural networks as surrogate for computational fluid dynamics in 3D artery models
J Suk, P de Haan, P Lippe, C Brune, JM Wolterink
Fourth workshop on machine learning and the physical sciences (NeurIPS 2021), 2021
92021
SIRE: Scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks
D Alblas, J Suk, C Brune, KK Yeung, JM Wolterink
Medical image analysis, 103467, 2025
72025
LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes
J Suk, B Imre, JM Wolterink
International Conference on Medical Image Computing and Computer-Assisted …, 2024
42024
Application of second-order optimisation for large-scale deep learning
J Suk
42020
Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior
J Suk, G Nannini, P Rygiel, C Brune, G Pontone, A Redaelli, JM Wolterink
arXiv preprint arXiv:2410.11920, 2024
12024
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
G Bernárdez, L Telyatnikov, M Montagna, F Baccini, M Papillon, ...
arXiv preprint arXiv:2409.05211, 2024
12024
Physics-informed graph neural networks for flow field estimation in carotid arteries
J Suk, D Alblas, BA Hutten, A Wiegman, C Brune, P van Ooij, ...
arXiv preprint arXiv:2408.07110, 2024
12024
Geometric algebra transformers for large 3d meshes via cross-attention
J Suk, P De Haan, B Imre, JM Wolterink
ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 2024
12024
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models
G Nannini, J Suk, P Rygiel, S Saitta, L Mariani, R Maragna, A Baggiano, ...
arXiv preprint arXiv:2501.09046, 2025
2025
Exploiting Scale Invariance and Rotation Equivariance for Sparse and Dense Artery Orientation Estimation
D Alblas, I Vos, J Suk, C Brune, KK Yeung, B Velthuis, H Kuijf, Y Ruigrok, ...
Medical Imaging with Deep Learning, 2024
2024
Digital Foot Models from Sensor Data for Improved Orthopedic Aid Fitting
G Carere, BJ Geurts, B van't Hof, F Holtkamp, E Luesink, M Schlottbom, ...
2023
Spatiotemporal cell surface generator
D Wiesner, J Suk
2023
-equivariant hemodynamics estimation on arterial surface meshes using graph convolutional networks
J Suk, P De Haan, P Lippe, C Brune, JM Wolterink
Geometric Deep Learning in Medical Image Analysis (Extended abstracts), 2022
2022
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