… Anisotropic diffusion is a method … anisotropic diffusion which better preserves small structures
like vessels in 3D images. This method is based on the explicit weighting of the diffusion in …

In this paper we present a novel diffusion filter, designed for strongly oriented patterns.
Unlike most previous diffusion methods, our filter employs global orientation information, the …

… directional data provides a fundamental source of information. A novel framework for isotropic
and anisotropic diffusion … The framework can be applied both to regularize directional data …

… In our research, adaptive multi-directional anisotropic diffusion is used to de-noise and
detect corners. In this section, the theory and advantages of anisotropic diffusion filters are …

… normal diffusion filtering algorithm will blur the edges and details. In this paper, we construct
weighted directional structural tensor (WDT) and propose an anisotropic diffusion filtering …

… Diffusion imaging has been shown in experimental … Anisotropic diffusion in white matter
is of particular interest (4). However, one factor limiting the widespread clinical use of diffusion …

… continuous diffusion into one-dimensional processes: we analyse, design and test consistent
positive directional splitting on a 3 × 3 window. We derive a set of formulas for directional …

… Generally, the implementation of robust, directional and synchronous … Directional stable
steady-state oxidation waves could then be obtained, generating an anisotropic diffusion …

… anisotropic oriented learnable diffusion kernels. Unlike [ARAC14], we do not use a single
anisotropic diffusion … Such kernels capture local directional structures similarly to the geodesic …

… multi-directional anisotropy (MDA) diffusion metric that uses one such advanced diffusion
acquisition—DSI. The metrics should be able to reflect the underlying anisotropy of constituent …