Denis Kouame

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Compressive Deconvolution in Medical Ultrasound Imaging

Zhouye Chen, Adrian Basarab, Denis Kouame
IEEE Transactions on Medical Imaging
2016

The interest of compressive sampling in ultrasound imaging has been recently extensively evaluated by several research teams. Following the different application setups, it has been shown that the RF… (More)

Beamforming Through Regularized Inverse Problems in Ultrasound Medical Imaging.

Teodora Szasz, Adrian Basarab, Denis Kouame
IEEE transactions on ultrasonics, ferroelectrics…
2016

Beamforming (BF) in ultrasound (US) imaging has significant impact on the quality of the final image, controlling its resolution and contrast. Despite its low spatial resolution and contrast,… (More)

Micro-emboli detection: an ultrasound Doppler signal processing viewpoint

Jean-Marc Girault, Denis Kouame, Abdeldjalil Ouahabi, Frédéric Patat
IEEE Transactions on Biomedical Engineering
2000

Several studies have been carried out in the last twenty years on the characterization and detection of cerebral artery emboli. From the detection point of view the existing methods are largely based… (More)

Bayesian compressed sensing in ultrasound imaging

Celine Quinsac, Nicolas Dobigeon, Adrian Basarab, Denis Kouame, Jean-Yves Tourneret
4th IEEE International Workshop on Computational…
2011

Following our previous study on compressed sensing for ultrasound imaging, this paper proposes to exploit the image sparsity in the frequency domain within a Bayesian approach. A Bernoulli-Gaussian… (More)

Alternating direction method of multipliers framework for super-resolution in ultrasound imaging

Renaud Morin, Adrian Basarab, Denis Kouame
9th IEEE International Symposium on Biomedical…
2012

Ultrasound image resolution enhancement is an ongoing challenge to date. Though many works have been performed using device-based approach, there exists few works dealing with post-processing… (More)

Fast Single Image Super-Resolution Using a New Analytical Solution for ℓ2-ℓ2 Problems

Ningning Zhao, Qi Wei, Adrian Basarab, Nicolas Dobigeon, Denis Kouame, Jean-Yves Tourneret
IEEE Trans. Image Processing
2016

This paper addresses the problem of single image super-resolution (SR), which consists of recovering a high-resolution image from its blurred, decimated, and noisy version. The existing algorithms… (More)

Regularized Bayesian compressed sensing in ultrasound imaging

Nicolas Dobigeon, Adrian Basarab, Denis Kouame, Jean-Yves Tourneret
Proceedings of the 20th European Signal…
2012

Compressed sensing has recently shown much interest for ultrasound imaging. In particular, exploiting the sparsity of ultrasound images in the frequency domain, a specific random sampling of… (More)

Joint Segmentation and Deconvolution of Ultrasound Images Using a Hierarchical Bayesian Model Based on Generalized Gaussian Priors

Ningning Zhao, Adrian Basarab, Denis Kouame, Jean-Yves Tourneret
IEEE Transactions on Image Processing
2016

This paper proposes a joint segmentation and deconvolution Bayesian method for medical ultrasound (US) images. Contrary to piecewise homogeneous images, US images exhibit heavy characteristic speckle… (More)

3D Compressed sensing ultrasound imaging

Celine Quinsac, Adrian Basarab, Denis Kouame, J. M. Gregoire
IEEE International Ultrasonics Symposium
2010

This paper proposes a compressed sensing method adapted to 3D ultrasound (US) imaging. Three undersampling patterns suited for 3D US imaging, together with a nonlinear conjugate gradient… (More)

A New Technique for the Estimation of Cardiac Motion in Echocardiography Based on Transverse Oscillations: A Preliminary Evaluation In Silico and a Feasibility Demonstration In Vivo

Martino Alessandrini, Adrian Basarab, +6 authors Hervé Liebgott
IEEE Transactions on Medical Imaging
2014

Quantification of regional myocardial motion and deformation from cardiac ultrasound is fostering considerable research efforts. Despite the tremendous improvements done in the field, all existing… (More)

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