Duits, R.[Remco]
* 2003: Alpha Scale Spaces on a Bounded Domain
* 2003: Monogenic Scale Space on a Bounded Domain and Its Applications, The
* 2003: Regularity Classes for Locally Orderless Images
* 2004: On the Axioms of Scale Space Theory
* 2004: Tikhonov regularization versus scale space: A new result
* 2005: Linear Image Reconstruction Framework Based on Sobolev Type Inner Products, A
* 2005: Monogenic Scale Space on a Rectangular Domain and its Features, The
* 2005: On a Kernels, Lévy Processes, and Natural Image Statistics
* 2005: On Image Reconstruction from Multiscale Top Points
* 2006: Linear Image Reconstruction Framework Based on Sobolev Type Inner Products, A
* 2006: Optic Flow from Multi-scale Dynamic Anchor Point Attributes
* 2006: Towards a New Paradigm for Motion Extraction
* 2007: Curvature Estimation for Enhancement of Crossing Curves
* 2007: Image Analysis and Reconstruction using a Wavelet Transform Constructed from a Reducible Representation of the Euclidean Motion Group
* 2007: Linear Image Reconstruction by Sobolev Norms on the Bounded Domain
* 2007: Nonlinear Diffusion on the 2D Euclidean Motion Group
* 2007: Scale Spaces on Lie Groups
* 2009: Coarse-to-Fine Image Reconstruction Based on Weighted Differential Features and Background Gauge Fields
* 2009: Crossing-Preserving Coherence-Enhancing Diffusion on Invertible Orientation Scores
* 2009: Line Enhancement and Completion via Linear Left Invariant Scale Spaces on SE(2)
* 2009: Linear Image Reconstruction by Sobolev Norms on the Bounded Domain
* 2009: Scale Spaces on the 3D Euclidean Motion Group for Enhancement of HARDI Data
* 2011: Fiber Enhancement in Diffusion-Weighted MRI
* 2011: Left-Invariant Diffusions on the Space of Positions and Orientations and their Application to Crossing-Preserving Smoothing of HARDI images
* 2011: Numerical Schemes for Linear and Non-linear Enhancement of DW-MRI
* 2012: Mathematical Methods for Signal and Image Analysis and Representation
* 2013: Morphological and Linear Scale Spaces for Fiber Enhancement in DW-MRI
* 2013: Morphological and Linear Scale Spaces for Fiber Enhancement in DW-MRI
* 2014: Association Fields via Cuspless Sub-Riemannian Geodesics in SE(2)
* 2014: Multi-Orientation Analysis Approach to Retinal Vessel Tracking, A
* 2014: Optic Nerve Head Detection via Group Correlations in Multi-orientation Transforms
* 2015: Data-Driven Sub-Riemannian Geodesics in SE(2)
* 2015: Invertible Orientation Scores of 3D Images
* 2015: New Approximation of a Scale Space Kernel on SE(3) and Applications in Neuroimaging
* 2015: PDE Approach to Data-Driven Sub-Riemannian Geodesics in SE(2), A
* 2015: Sub-Riemannian Fast Marching in SE(2)
* 2015: Training of Templates for Object Recognition in Invertible Orientation Scores: Application to Optic Nerve Head Detection in Retinal Images
* 2016: Brain-inspired algorithms for retinal image analysis
* 2016: Locally Adaptive Frames in the Roto-Translation Group and Their Applications in Medical Imaging
* 2016: Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores
* 2017: Hessian of Axially Symmetric Functions on SE(3) and Application in 3D Image Analysis, The
* 2017: Tracking of Lines in Spherical Images via Sub-Riemannian Geodesics in SO(3)
* 2018: Design and Processing of Invertible Orientation Scores of 3D Images
* 2018: Differential Geometry and Orientation Analysis in Image Processing
* 2018: Optimal Paths for Variants of the 2D and 3D Reeds-Shepp Car with Applications in Image Analysis
* 2018: Template Matching via Densities on the Roto-Translation Group
* 2019: Total Variation and Mean Curvature PDEs on the Space of Positions and Orientations
* 2021: Equivariant Deep Learning via Morphological and Linear Scale Space PDEs on the Space of Positions and Orientations
* 2023: Geodesic Tracking of Retinal Vascular Trees with Optical and TV-Flow Enhancement in Se(2)
* 2023: Geometric Adaptations of PDE-G-CNNs
Includes: Duits, R.[Remco] Duits, R.
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