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Bart Smets
Bart Smets
在 tue.nl 的电子邮件经过验证 - 首页
标题
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引用次数
年份
PDE-based group equivariant convolutional neural networks
B Smets, J Portegies, E Bekkers, R Duits
Journal of Mathematical Imaging and Vision, 2022
442022
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
102021
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
102021
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
92019
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
72023
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
52021
Geometric image denoising and machine learning
B Smets
Master thesis, TU Eindhoven, 2019
32019
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
22023
Geodesic tracking via new data-driven connections of cartan type for vascular tree tracking
NJ van den Berg, B Smets, G Pai, JM Mirebeau, R Duits
Journal of Mathematical Imaging and Vision, 1-33, 2024
12024
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
12019
Total Variation and Mean Curvature PDEs on R d Sd−
R Duits, E St-Onge, J Portegies, B Smets
Technical report https://arxiv. org/abs/1902.08145, 2019
12019
Improving on Vascular Tracking using Sub-Riemannian Geodesics
BMN Smets
Bachelor End Project. TU Eindhoven, 2017
12017
PDE-CNNs: Axiomatic Derivations and Applications
G Bellaard, S Sakata, B Smets, R Duits
arXiv preprint arXiv:2403.15182, 2024
2024
Mathematics of Neural Networks (Lecture Notes Graduate Course)
B Smets
arXiv preprint arXiv:2403.04807, 2024
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
2023
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
Geometric denoising and contrast enhancement of X-ray images
R Duits, B Smets
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