Hacheme Ayasso

18 papers B 4Misc 2Journal 5Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Line Artifact Removal Over Medical X-Ray Images via Joint Dictionaries Sparse Decomposition with Structured Incoherence. ISBI Matthieu Chancel, Hacheme Ayasso, Michel Desvignes, Jean-Michel Vignolle, Eric Lespessailles
2025	—	`conf`	TRIDENT: A Trimodel with Sparse Dictionary Encoding Technique Applied to Ringing Stripe Artifact Removal from Medical X-Ray Images. EUSIPCO Matthieu Chancel, Hacheme Ayasso, Michel Desvignes, Jean-Michel Vignolle, Eric Lespessailles
2024	—	`conf`	Improving Sparse Dictionary Learning with Rejection of Fully Exposed Patches. EUSIPCO Matthieu Chancel, Hacheme Ayasso, Michel Desvignes, Jean-Michel Vignolle, Eric Lespessailles
2023	J	`jnl`	A sparse dictionary representation approach for anti-scattering grid artifact removal in X-ray images. Biomed. Signal Process. Control. Florian Cotte, Michel Desvignes, Hacheme Ayasso, Jean-Michel Vignolle
2020	J	`jnl`	Online mobile C-arm calibration using inertial sensors: a preliminary study in order to achieve CBCT. Int. J. Comput. Assist. Radiol. Surg. Imane Lemammer, Olivier J. J. Michel, Hacheme Ayasso, Steeve Zozor, Guillaume Bernard
2018	B	`conf`	A Bayesian Approach for Anti-Scatter Grid Extraction in x-ray Imaging. ICIP Florian Cotte, Michel Desvignes, Hacheme Ayasso, Jean-Michel Vignolle
2015	—	`conf`	Error control for the detection of rare and weak signatures in massive data. EUSIPCO Celine Meillier, Florent Chatelain, Olivier J. J. Michel, Hacheme Ayasso
2015	J	`jnl`	Nonparametric Bayesian Extraction of Object Configurations in Massive Data. IEEE Trans. Signal Process. Celine Meillier, Florent Chatelain, Olivier J. J. Michel, Hacheme Ayasso
2014	B	`conf`	A gradient-like variational Bayesian approach: Application to microwave imaging for breast tumor detection. ICIP L. Gharsalli, Bernard Duchêne, Ali Mohammad-Djafari, Hacheme Ayasso
2014	Misc	`conf`	Non-parametric Bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral data. ICASSP Celine Meillier, Florent Chatelain, Olivier J. J. Michel, Hacheme Ayasso
2013	Misc	`conf`	A gradient-like variational Bayesian approach for joint image super-resolution and source separation, application to astrophysical map-making. ICASSP Hacheme Ayasso, Thomas Rodet, Alain Abergel, Karin Dassas
2013	—	`conf`	Microwave tomography for breast cancer detection within a variational Bayesian approach. EUSIPCO L. Gharsalli, Bernard Duchêne, Ali Mohammad-Djafari, Hacheme Ayasso
2012	B	`conf`	A variational Bayesian approach for frequency diverse non-linear microwave imaging. ICIP Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari
2011	—	`conf`	Bayesian estimation with Gauss-Markov-Potts priors in optical diffraction tomography. Computational Imaging Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari
2011	J	`jnl`	Over-resolution in map-making based on accurate instrument model and regularized inversion. Application to SPIRE/Herschel CoRR François Orieux, Jean-François Giovannelli, Thomas Rodet, Alain Abergel, Hacheme Ayasso, M. Husson
2010	J	`jnl`	Joint NDT Image Restoration and Segmentation Using Gauss-Markov-Potts Prior Models and Variational Bayesian Computation. IEEE Trans. Image Process. Hacheme Ayasso, Ali Mohammad-Djafari
2009	B	`conf`	Joint image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation. ICIP Hacheme Ayasso, Ali Mohammad-Djafari
2008	—	`conf`	Variational Bayes with Gauss-Markov-Potts Prior Models for Joint Image Restoration and Segmentation. VISAPP (1) Hacheme Ayasso, Ali Mohammad-Djafari