Add to ORKGWe develop a new regularization method for quantitative microwave tomography, based on a discontinuity adaptive Markov random Field model. The results on 2D data sets are encouraging and indicate potential for use in biomedical imaging
This paper presents reconstructions of four targets from the 3D Fresnel database. The electromagneti...
International audienceA method for reconstructing the complex permittivity profile of lossy dielectr...
649-653An inverse iterative algorithm for microwave imaging based on moment method solution is pres...
We develop a new regularization method for quantitative microwave tomography, based on a discontinu...
We develop a new regularization approach for 3D quantitative microwave tomography, based on a discon...
Reconstruction of inhomogeneous dielectric objects from microwave scattering is a nonlinear and ill-...
Microwave tomography is a promising method for the breast cancer imaging. Dielectric properties of t...
We present an analysis of weakly convex discontinuity adaptive (WCDA) models for regularizing three-...
Reconstruction of inhomogeneous dielectric objects from microwave scattering by means of quantitativ...
In statistical theory, the Huber function yields robust estimations reducing the effect of outliers....
A simple and efficient method for data inversion in microwave imaging is proposed. The approach is b...
In this paper we investigate the robustness and the effectiveness of a microwave imaging technique, ...
A new inverse microwave imaging algorithm is presented which has the ability to obtain quantitative ...
Abstract—In this paper, a two-dimensional inverse scattering problem dealing with microwave tomograp...
Abstract—In this paper, we investigate the robustness and the effectiveness of a microwave imaging t...
This paper presents reconstructions of four targets from the 3D Fresnel database. The electromagneti...
International audienceA method for reconstructing the complex permittivity profile of lossy dielectr...
649-653An inverse iterative algorithm for microwave imaging based on moment method solution is pres...
We develop a new regularization method for quantitative microwave tomography, based on a discontinu...
We develop a new regularization approach for 3D quantitative microwave tomography, based on a discon...
Reconstruction of inhomogeneous dielectric objects from microwave scattering is a nonlinear and ill-...
Microwave tomography is a promising method for the breast cancer imaging. Dielectric properties of t...
We present an analysis of weakly convex discontinuity adaptive (WCDA) models for regularizing three-...
Reconstruction of inhomogeneous dielectric objects from microwave scattering by means of quantitativ...
In statistical theory, the Huber function yields robust estimations reducing the effect of outliers....
A simple and efficient method for data inversion in microwave imaging is proposed. The approach is b...
In this paper we investigate the robustness and the effectiveness of a microwave imaging technique, ...
A new inverse microwave imaging algorithm is presented which has the ability to obtain quantitative ...
Abstract—In this paper, a two-dimensional inverse scattering problem dealing with microwave tomograp...
Abstract—In this paper, we investigate the robustness and the effectiveness of a microwave imaging t...
This paper presents reconstructions of four targets from the 3D Fresnel database. The electromagneti...
International audienceA method for reconstructing the complex permittivity profile of lossy dielectr...
649-653An inverse iterative algorithm for microwave imaging based on moment method solution is pres...