| PDE-based group equivariant convolutional neural networks B Smets, J Portegies, E Bekkers, R Duits Journal of Mathematical Imaging and Vision, 2022 | 65 | 2022 |
| Analysis of (sub-) riemannian pde-g-cnns G Bellaard, DLJ Bon, G Pai, BMN Smets, R Duits Journal of Mathematical Imaging and Vision 65 (6), 819-843, 2023 | 13 | 2023 |
| Equivariant deep learning via morphological and linear scale space PDEs on the space of positions and orientations R Duits, B Smets, E Bekkers, J Portegies International Conference on Scale Space and Variational Methods in Computer …, 2021 | 12 | 2021 |
| Total variation and mean curvature PDEs on the homogeneous space of positions and orientations BMN Smets, J Portegies, E St-Onge, R Duits Journal of Mathematical Imaging and Vision 63, 237-262, 2021 | 12 | 2021 |
| Total variation and mean curvature PDEs on the space of positions and orientations R Duits, E St-Onge, J Portegies, B Smets International conference on scale space and variational methods in computer …, 2019 | 9 | 2019 |
| Recent geometric flows in multi-orientation image processing via a Cartan connection R Duits, BMN Smets, AJ Wemmenhove, JW Portegies, EJ Bekkers Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2021 | 7 | 2021 |
| Geodesic tracking via new data-driven connections of cartan type for vascular tree tracking NJ van den Berg, BMN Smets, G Pai, JM Mirebeau, R Duits Journal of Mathematical Imaging and Vision 66 (2), 198-230, 2024 | 6 | 2024 |
| Functional properties of pde-based group equivariant convolutional neural networks G Pai, G Bellaard, BMN Smets, R Duits International Conference on Geometric Science of Information, 63-72, 2023 | 6 | 2023 |
| Geometric image denoising and machine learning B Smets Master thesis, TU Eindhoven, 2019 | 4 | 2019 |
| PDE-CNNs: Axiomatic derivations and applications G Bellaard, S Sakata, BMN Smets, R Duits Journal of Mathematical Imaging and Vision 67 (2), 13, 2025 | 1 | 2025 |
| Geometric Partial Differential Equations in Deep Learning and Image Processing BMN Smets | 1 | 2024 |
| Geodesic tracking of retinal vascular trees with optical and tv-flow enhancement in se (2) NJ van den Berg, S Zhang, BMN Smets, TTJM Berendschot, R Duits International Conference on Scale Space and Variational Methods in Computer …, 2023 | 1 | 2023 |
| Total Variation and Mean Curvature PDEs on $\mathbb {R}^ d\rtimes S^{d-1} $ R Duits, E St-Onge, J Portegies, B Smets arXiv preprint arXiv:1902.08145, 2019 | 1 | 2019 |
| Total Variation and Mean Curvature PDEs on R d Sd− R Duits, E St-Onge, J Portegies, B Smets arXiv preprint arXiv:1902.08145, 2019 | 1 | 2019 |
| Improving on Vascular Tracking using Sub-Riemannian Geodesics BMN Smets Bachelor End Project. TU Eindhoven, 2017 | 1 | 2017 |
| Semiring Activation in Neural Networks B Smets, PD Donker, JW Portegies, R Duits arXiv preprint arXiv:2405.18805, 2024 | | 2024 |
| Mathematics of Neural Networks (Lecture Notes Graduate Course) B Smets arXiv preprint arXiv:2403.04807, 2024 | | 2024 |
| Geodesic Tracking via New Data-driven Connections of Cartan Type for Vascular Tree Tracking B NJvd, BM Smets, G Pai, J Mirebeau, R Duits | | 2022 |
| Geodesic Tracking via New Data-driven Connections of Cartan Type for Vascular Tree Tracking N Berg, B Smets, G Pai, JM Mirebeau, R Duits arXiv preprint arXiv:2208.11004, 2022 | | 2022 |
| Improved Computational Models and Algorithms for Geodesic Vessel Tracking in Orientation Scores N van den Berg, R Duits, B Smets, B Koren | | 2021 |
Remco DuitsAssociate Professor, Eindhoven University of Technology (TU/e)E-mailová adresa ověřena na: tue.nl
