B.M.N. Smets
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B.M.N. Smets
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Geodesic Tracking of Retinal Vascular Trees with Optical and TV-Flow Enhancement in SE(2)
Analysis of (sub-)Riemannian PDE-G-CNNs
Geodesic Tracking via New Data-driven Connections of Cartan Type for Vascular Tree Tracking
PDE-based Group Equivariant Convolutional Neural Networks
Total Variation and Mean Curvature PDEs on the Homogeneous Space of Positions and Orientations (JMIV)
Master Thesis: Geometric Image Denoising and Machine Learning
Total Variation and Mean Curvature PDEs on $\mathbb{R}^d \rtimes S^{d−1}$ (SSVM)
Bachelor End Project: Improving on Vascular Tracking using Sub-Riemannian Geodesics
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