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Hacheme Ayasso
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2020 – today
- 2024
- [c11]Matthieu Chancel, Hacheme Ayasso, Michel Desvignes, Jean-Michel Vignolle, Eric Lespessailles:
Improving Sparse Dictionary Learning with Rejection of Fully Exposed Patches. EUSIPCO 2024: 2682-2686 - 2023
- [j4]Florian Cotte
, Michel Desvignes, Hacheme Ayasso
A sparse dictionary representation approach for anti-scattering grid artifact removal in X-ray images. Biomed. Signal Process. Control. 86(Part B): 105247 (2023) - 2020
- [j3]Imane Lemammer
Online mobile C-arm calibration using inertial sensors: a preliminary study in order to achieve CBCT. Int. J. Comput. Assist. Radiol. Surg. 15(2): 213-224 (2020)
2010 – 2019
- 2018
- [c10]Florian Cotte, Michel Desvignes, Hacheme Ayasso, Jean-Michel Vignolle:
A Bayesian Approach for Anti-Scatter Grid Extraction in x-ray Imaging. ICIP 2018: 1183-1187 - 2015
- [j2]Celine Meillier, Florent Chatelain, Olivier J. J. Michel, Hacheme Ayasso:
Nonparametric Bayesian Extraction of Object Configurations in Massive Data. IEEE Trans. Signal Process. 63(8): 1911-1924 (2015) - [c9]Celine Meillier, Florent Chatelain, Olivier J. J. Michel, Hacheme Ayasso:
Error control for the detection of rare and weak signatures in massive data. EUSIPCO 2015: 1974-1978 - 2014
- [c8]Celine Meillier, Florent Chatelain, Olivier J. J. Michel, Hacheme Ayasso:
Non-parametric Bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral data. ICASSP 2014: 1886-1890 - [c7]L. Gharsalli, Bernard Duchêne, Ali Mohammad-Djafari
A gradient-like variational Bayesian approach: Application to microwave imaging for breast tumor detection. ICIP 2014: 1708-1712 - 2013
- [c6]L. Gharsalli, Bernard Duchêne, Ali Mohammad-Djafari, Hacheme Ayasso:
Microwave tomography for breast cancer detection within a variational Bayesian approach. EUSIPCO 2013: 1-5 - [c5]Hacheme Ayasso, Thomas Rodet, Alain Abergel, Karin Dassas:
A gradient-like variational Bayesian approach for joint image super-resolution and source separation, application to astrophysical map-making. ICASSP 2013: 5830-5834 - 2012
- [c4]Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari
A variational Bayesian approach for frequency diverse non-linear microwave imaging. ICIP 2012: 2069-2072 - 2011
- [c3]Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari
Bayesian estimation with Gauss-Markov-Potts priors in optical diffraction tomography. Computational Imaging 2011: 78730U - [i1]François Orieux, Jean-François Giovannelli, Thomas Rodet, Alain Abergel, Hacheme Ayasso, M. Husson:
Over-resolution in map-making based on accurate instrument model and regularized inversion. Application to SPIRE/Herschel. CoRR abs/1103.3698 (2011) - 2010
- [j1]Hacheme Ayasso, Ali Mohammad-Djafari
Joint NDT Image Restoration and Segmentation Using Gauss-Markov-Potts Prior Models and Variational Bayesian Computation. IEEE Trans. Image Process. 19(9): 2265-2277 (2010)
2000 – 2009
- 2009
- [c2]Hacheme Ayasso, Ali Mohammad-Djafari
Joint image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation. ICIP 2009: 1297-1300 - 2008
- [c1]Hacheme Ayasso, Ali Mohammad-Djafari:
Variational Bayes with Gauss-Markov-Potts Prior Models for Joint Image Restoration and Segmentation. VISAPP (1) 2008: 571-576
Coauthor Index
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