Hacheme Ayasso

According to our database, Hacheme Ayasso authored at least 16 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Improving Sparse Dictionary Learning with Rejection of Fully Exposed Patches.

Matthieu Chancel, Hacheme Ayasso, Michel Desvignes, Jean-Michel Vignolle, Eric Lespessailles

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

A sparse dictionary representation approach for anti-scattering grid artifact removal in X-ray images.

Florian Cotte, Michel Desvignes, Hacheme Ayasso, Jean-Michel Vignolle

Biomed. Signal Process. Control., September, 2023

2020

Online mobile C-arm calibration using inertial sensors: a preliminary study in order to achieve CBCT.

Imane Lemammer, Olivier Michel, Hacheme Ayasso, Steeve Zozor, Guillaume Bernard

Int. J. Comput. Assist. Radiol. Surg., 2020

2018

A Bayesian Approach for Anti-Scatter Grid Extraction in x-ray Imaging.

Florian Cotte, Michel Desvignes, Hacheme Ayasso, Jean-Michel Vignolle

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2015

Nonparametric Bayesian Extraction of Object Configurations in Massive Data.

Celine Meillier, Florent Chatelain, Olivier J. J. Michel, Hacheme Ayasso

IEEE Trans. Signal Process., 2015

Error control for the detection of rare and weak signatures in massive data.

Celine Meillier, Florent Chatelain, Olivier J. J. Michel, Hacheme Ayasso

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

A gradient-like variational Bayesian approach: Application to microwave imaging for breast tumor detection.

L. Gharsalli, Bernard Duchêne, Ali Mohammad-Djafari, Hacheme Ayasso

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Non-parametric Bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral data.

Celine Meillier, Florent Chatelain, Olivier J. J. Michel, Hacheme Ayasso

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

A gradient-like variational Bayesian approach for joint image super-resolution and source separation, application to astrophysical map-making.

Hacheme Ayasso, Thomas Rodet, Alain Abergel, Karin Dassas

Proceedings of the IEEE International Conference on Acoustics, 2013

Microwave tomography for breast cancer detection within a variational Bayesian approach.

L. Gharsalli, Bernard Duchêne, Ali Mohammad-Djafari, Hacheme Ayasso

Proceedings of the 21st European Signal Processing Conference, 2013

2012

A variational Bayesian approach for frequency diverse non-linear microwave imaging.

Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

Over-resolution in map-making based on accurate instrument model and regularized inversion. Application to SPIRE/Herschel

François Orieux, Jean-François Giovannelli, Thomas Rodet, Alain Abergel, Hacheme Ayasso, M. Husson

CoRR, 2011

Bayesian estimation with Gauss-Markov-Potts priors in optical diffraction tomography.

Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari

Proceedings of the Computational Imaging IX, 2011

2010

Joint NDT Image Restoration and Segmentation Using Gauss-Markov-Potts Prior Models and Variational Bayesian Computation.

Hacheme Ayasso, Ali Mohammad-Djafari

IEEE Trans. Image Process., 2010

2009

Joint image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation.

Hacheme Ayasso, Ali Mohammad-Djafari

Proceedings of the International Conference on Image Processing, 2009

2008

Variational Bayes with Gauss-Markov-Potts Prior Models for Joint Image Restoration and Segmentation.

Hacheme Ayasso, Ali Mohammad-Djafari

Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008