Variational Bayes with Gauss-Markov-Potts Prior Models for Joint Image Restoration and Segmentation. - Hacheme Ayasso; Ali Mohammad-Djafari (VISAPP (1), 2008)

Joint image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation. - Hacheme Ayasso; Ali Mohammad-Djafari (ICIP, 2009)

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)

Bayesian estimation with Gauss-Markov-Potts priors in optical diffraction tomography. - Hacheme Ayasso; Bernard Duchêne; Ali Mohammad-Djafari (Computational Imaging, 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)

A variational Bayesian approach for frequency diverse non-linear microwave imaging. - Hacheme Ayasso; Bernard Duchêne; Ali Mohammad-Djafari (ICIP, 2012)

Microwave tomography for breast cancer detection within a variational Bayesian approach. - L. Gharsalli; Bernard Duchêne; Ali Mohammad-Djafari; Hacheme Ayasso (EUSIPCO, 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 (ICASSP, 2013)

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 (ICASSP, 2014)

A gradient-like variational Bayesian approach: Application to microwave imaging for breast tumor detection. - L. Gharsalli; Bernard Duchêne; Ali Mohammad-Djafari; Hacheme Ayasso (ICIP, 2014)

Error control for the detection of rare and weak signatures in massive data. - Celine Meillier; Florent Chatelain; Olivier J. J. Michel; Hacheme Ayasso (EUSIPCO, 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)

A Bayesian Approach for Anti-Scatter Grid Extraction in x-ray Imaging. - Florian Cotte; Michel Desvignes; Hacheme Ayasso; Jean-Michel Vignolle (ICIP, 2018)

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)

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., 2023)

Improving Sparse Dictionary Learning with Rejection of Fully Exposed Patches. - Matthieu Chancel; Hacheme Ayasso; Michel Desvignes; Jean-Michel Vignolle; Eric Lespessailles (EUSIPCO, 2024)

Line Artifact Removal Over Medical X-Ray Images via Joint Dictionaries Sparse Decomposition with Structured Incoherence. - Matthieu Chancel; Hacheme Ayasso; Michel Desvignes; Jean-Michel Vignolle; Eric Lespessailles (ISBI, 2025)