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
23 2021 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
16 2024 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
16 2022 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
12 2022 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
10 2023 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
9 2024 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
9 2021 SIRE: scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks D Alblas, J Suk, C Brune, KK Yeung, JM Wolterink
arXiv preprint arXiv:2311.05400, 2023
5 2023 Application of second-order optimisation for large-scale deep learning J Suk
4 2020 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
2 2024 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
1 2024 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
1 2024 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
2024 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
2024 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 J Suk, P De Haan, P Lippe, C Brune, JM Wolterink
Geometric Deep Learning in Medical Image Analysis (Extended abstracts), 2022
2022 