Duits, R.[Remco]
Co Author Listing * Alpha Scale Spaces on a Bounded Domain
* Association Fields via Cuspless Sub-Riemannian Geodesics in SE(2)
* Brain-inspired algorithms for retinal image analysis
* Coarse-to-Fine Image Reconstruction Based on Weighted Differential Features and Background Gauge Fields
* Crossing-Preserving Coherence-Enhancing Diffusion on Invertible Orientation Scores
* Curvature Estimation for Enhancement of Crossing Curves
* Data-Driven Sub-Riemannian Geodesics in SE(2)
* Design and Processing of Invertible Orientation Scores of 3D Images
* Differential Geometry and Orientation Analysis in Image Processing
* Equivariant Deep Learning via Morphological and Linear Scale Space PDEs on the Space of Positions and Orientations
* Fiber Enhancement in Diffusion-Weighted MRI
* Geodesic Tracking of Retinal Vascular Trees with Optical and TV-Flow Enhancement in Se(2)
* Geometric Adaptations of PDE-G-CNNs
* Hessian of Axially Symmetric Functions on SE(3) and Application in 3D Image Analysis, The
* Image Analysis and Reconstruction using a Wavelet Transform Constructed from a Reducible Representation of the Euclidean Motion Group
* Invertible Orientation Scores of 3D Images
* Left-Invariant Diffusions on the Space of Positions and Orientations and their Application to Crossing-Preserving Smoothing of HARDI images
* Line Enhancement and Completion via Linear Left Invariant Scale Spaces on SE(2)
* Linear Image Reconstruction by Sobolev Norms on the Bounded Domain
* Linear Image Reconstruction by Sobolev Norms on the Bounded Domain
* Linear Image Reconstruction Framework Based on Sobolev Type Inner Products, A
* Locally Adaptive Frames in the Roto-Translation Group and Their Applications in Medical Imaging
* Mathematical Methods for Signal and Image Analysis and Representation
* Monogenic Scale Space on a Bounded Domain and Its Applications, The
* Monogenic Scale Space on a Rectangular Domain and its Features, The
* Morphological and Linear Scale Spaces for Fiber Enhancement in DW-MRI
* Multi-Orientation Analysis Approach to Retinal Vessel Tracking, A
* New Approximation of a Scale Space Kernel on SE(3) and Applications in Neuroimaging
* Nonlinear Diffusion on the 2D Euclidean Motion Group
* Numerical Schemes for Linear and Non-linear Enhancement of DW-MRI
* On a Kernels, Lévy Processes, and Natural Image Statistics
* On Image Reconstruction from Multiscale Top Points
* On the Axioms of Scale Space Theory
* Optic Flow from Multi-scale Dynamic Anchor Point Attributes
* Optic Nerve Head Detection via Group Correlations in Multi-orientation Transforms
* Optimal Paths for Variants of the 2D and 3D Reeds-Shepp Car with Applications in Image Analysis
* PDE Approach to Data-Driven Sub-Riemannian Geodesics in SE(2), A
* Regularity Classes for Locally Orderless Images
* Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores
* Scale Spaces on Lie Groups
* Scale Spaces on the 3D Euclidean Motion Group for Enhancement of HARDI Data
* Sub-Riemannian Fast Marching in SE(2)
* Template Matching via Densities on the Roto-Translation Group
* Tikhonov regularization versus scale space: A new result
* Total Variation and Mean Curvature PDEs on the Space of Positions and Orientations
* Towards a New Paradigm for Motion Extraction
* Tracking of Lines in Spherical Images via Sub-Riemannian Geodesics in SO(3)
* Training of Templates for Object Recognition in Invertible Orientation Scores: Application to Optic Nerve Head Detection in Retinal Images
Includes: Duits, R.[Remco] Duits, R.
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