Hacheme Ayasso

18 papers B 4Misc 2Journal 5Unranked 7
YearRankTypeTitle / 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