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Hacheme Ayasso
ORCID
Publication Activity (10 Years)
Years Active: 2008-2023
Publications (10 Years): 5
Top Topics
Massive Data
Nonparametric Bayesian
Tumor Detection
Hyperspectral
Top Venues
ICIP
Biomed. Signal Process. Control.
ICASSP
Int. J. Comput. Assist. Radiol. Surg.
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Publications
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Florian Cotte
,
Michel Desvignes
,
Hacheme Ayasso
,
Jean-Michel Vignolle
A sparse dictionary representation approach for anti-scattering grid artifact removal in X-ray images.
Biomed. Signal Process. Control.
86 (Part B) (2023)
Imane Lemammer
,
Olivier Michel
,
Hacheme Ayasso
,
Steeve Zozor
,
Guillaume Bernard
Online mobile C-arm calibration using inertial sensors: a preliminary study in order to achieve CBCT.
Int. J. Comput. Assist. Radiol. Surg.
15 (2) (2020)
Florian Cotte
,
Michel Desvignes
,
Hacheme Ayasso
,
Jean-Michel Vignolle
A Bayesian Approach for Anti-Scatter Grid Extraction in x-ray Imaging.
ICIP
(2018)
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)
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) (2015)
L. Gharsalli
,
Bernard Duchêne
,
Ali Mohammad-Djafari
,
Hacheme Ayasso
A gradient-like variational Bayesian approach: Application to microwave imaging for breast tumor detection.
ICIP
(2014)
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)
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)
L. Gharsalli
,
Bernard Duchêne
,
Ali Mohammad-Djafari
,
Hacheme Ayasso
Microwave tomography for breast cancer detection within a variational Bayesian approach.
EUSIPCO
(2013)
Hacheme Ayasso
,
Bernard Duchêne
,
Ali Mohammad-Djafari
A variational Bayesian approach for frequency diverse non-linear microwave imaging.
ICIP
(2012)
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
(2011)
Hacheme Ayasso
,
Bernard Duchêne
,
Ali Mohammad-Djafari
Bayesian estimation with Gauss-Markov-Potts priors in optical diffraction tomography.
Computational Imaging
(2011)
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) (2010)
Hacheme Ayasso
,
Ali Mohammad-Djafari
Joint image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation.
ICIP
(2009)
Hacheme Ayasso
,
Ali Mohammad-Djafari
Variational Bayes with Gauss-Markov-Potts Prior Models for Joint Image Restoration and Segmentation.
VISAPP (1)
(2008)