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 | 15 | 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 | 14 | 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 |

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 |

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 | 8 | 2024 |

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 | 8 | 2023 |

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 arXiv preprint arXiv:2403.07536, 2024 | 1 | 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 |

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 | | 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 | | 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 |

-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 |