In this paper we illustrate and compare the use of explicit and semi-implicit finite difference schemes for nonlinear complex diffusion with different boundary conditions in the context of medical imaging despeckling, namely for Optical Coherence Tomography images of the eye fundus. Performance metrics are shown to illustrate the feasibility and performance of these numerical schemes
This seminal book is a primer on geometry-driven, nonlinear diffusion as a promising new paradigm fo...
Diffusion-sensitive optical coherence tomography (DS-OCT) is presented as a functional extension to ...
Purpose: A computationally efficient algorithm (linear iterative type) based on singular value dec...
In this paper we focus on the development and implementation of an implicit finite difference method...
In this paper we present a rigorous proof for the stability of a class of finite difference schemes ...
Abstract. In this paper we present a rigorous proof for the stability of a class of finite differenc...
Despeckling optical coherence tomograms from the human retina is a fundamental step to a better diag...
ABSTRACT. This paper is devoted to a finite volume scheme for coherence enhancing diffusion filterin...
summary:This paper presents and summarize our results concerning the nonlinear tensor diffusion whic...
Purpose: To demonstrate the performance of a recently proposed despeckling filter when extended to 3...
In this paper, we consider nonlinear partial differential equations (PDEs) of diffusion/advection ty...
In this paper, we consider nonlinear partial differential equations (PDEs) of diffusion/advection ty...
Purpose: To build a mathematical model to mimic a real OCT b-scan/volume without noise, in order to ...
Abstract: We present a new approach to improving images in diffusion tomography, involving construct...
In this work we consider a stable algorithm for integrating a mathematical model based on mean curva...
This seminal book is a primer on geometry-driven, nonlinear diffusion as a promising new paradigm fo...
Diffusion-sensitive optical coherence tomography (DS-OCT) is presented as a functional extension to ...
Purpose: A computationally efficient algorithm (linear iterative type) based on singular value dec...
In this paper we focus on the development and implementation of an implicit finite difference method...
In this paper we present a rigorous proof for the stability of a class of finite difference schemes ...
Abstract. In this paper we present a rigorous proof for the stability of a class of finite differenc...
Despeckling optical coherence tomograms from the human retina is a fundamental step to a better diag...
ABSTRACT. This paper is devoted to a finite volume scheme for coherence enhancing diffusion filterin...
summary:This paper presents and summarize our results concerning the nonlinear tensor diffusion whic...
Purpose: To demonstrate the performance of a recently proposed despeckling filter when extended to 3...
In this paper, we consider nonlinear partial differential equations (PDEs) of diffusion/advection ty...
In this paper, we consider nonlinear partial differential equations (PDEs) of diffusion/advection ty...
Purpose: To build a mathematical model to mimic a real OCT b-scan/volume without noise, in order to ...
Abstract: We present a new approach to improving images in diffusion tomography, involving construct...
In this work we consider a stable algorithm for integrating a mathematical model based on mean curva...
This seminal book is a primer on geometry-driven, nonlinear diffusion as a promising new paradigm fo...
Diffusion-sensitive optical coherence tomography (DS-OCT) is presented as a functional extension to ...
Purpose: A computationally efficient algorithm (linear iterative type) based on singular value dec...