Hacheme Ayasso
Hacheme Ayasso
Maitre de conférences, Université de Grenoble-Alpes /GIPSA-LAB
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Joint NDT image restoration and segmentation using Gauss–Markov–Potts prior models and variational Bayesian computation
H Ayasso, A Mohammad-Djafari
IEEE Transactions on Image Processing 19 (9), 2265-2277, 2010
Evolution of dust in the Orion Bar with Herschel-I. Radiative transfer modelling
H Arab, A Abergel, E Habart, J Bernard-Salas, H Ayasso, K Dassas, ...
Astronomy & Astrophysics 541, A19, 2012
Bayesian inversion for optical diffraction tomography
H Ayasso, B Duchêne, A Mohammad-Djafari
Journal of Modern Optics 57 (9), 765-776, 2010
Physical structure of the photodissociation regions in NGC 7023-Observations of gas and dust emission with Herschel
M Köhler, E Habart, H Arab, J Bernard-Salas, H Ayasso, A Abergel, ...
Astronomy & Astrophysics 569, A109, 2014
Super-resolution in map-making based on a physical instrument model and regularized inversion-Application to SPIRE/Herschel
F Orieux, JF Giovannelli, T Rodet, A Abergel, H Ayasso, M Husson
Astronomy & Astrophysics 539, A38, 2012
Inverse scattering in a Bayesian framework: Application to microwave imaging for breast cancer detection
L Gharsalli, H Ayasso, B Duchêne, A Mohammad-Djafari
Inverse Problems 30 (11), 114011, 2014
A variational Bayesian approach for unsupervised super-resolution using mixture models of point and smooth sources applied to astrophysical map-making
H Ayasso, T Rodet, A Abergel
Inverse Problems 28 (12), 125005, 2012
Online mobile C-arm calibration using inertial sensors: a preliminary study in order to achieve CBCT
I Lemammer, O Michel, H Ayasso, S Zozor, G Bernard
International journal of computer assisted radiology and surgery 15 (2), 213-224, 2020
SELFI: an object-based, Bayesian method for faint emission line source detection in MUSE deep field data cubes
C Meillier, F Chatelain, O Michel, R Bacon, L Piqueras, R Bacher, ...
Astronomy & Astrophysics 588, A140, 2016
Optical diffraction tomography within a variational Bayesian framework
H Ayasso, B Duchêne, A Mohammad-Djafari
Inverse Problems in Science and Engineering 20 (1), 59-73, 2012
Nonparametric Bayesian extraction of object configurations in massive data
C Meillier, F Chatelain, O Michel, H Ayasso
IEEE Transactions on Signal Processing 63 (8), 1911-1924, 2015
Une approche bayésienne de l'inversion. Application à l'imagerie de diffraction dans les domaines micro-onde et optique
H Ayasso
Université Paris Sud-Paris XI, 2010
Joint image restoration and segmentation using gauss-markov-potts prior models and variational bayesian computation
H Ayasso, A Mohammad-Djafari
2009 16th IEEE International Conference on Image Processing (ICIP), 1297-1300, 2009
Variational Bayes and mean field approximations for Markov field unsupervised estimation
A Mohammad-Djafari, H Ayasso
2009 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2009
Error control for the detection of rare and weak signatures in massive data
C Meillier, F Chatelain, O Michel, H Ayasso
2015 23rd European Signal Processing Conference (EUSIPCO), 1974-1978, 2015
Variational bayes with Gauss-Markov-Potts prior models for joint image restoration and segmentation
H Ayasso, A Mohammad-Djafari
Bayesian Approach for Inverse Problems in Computer Vision 2, 571-576, 2008
Microwave tomography for breast cancer detection within a variational Bayesian approach
L Gharsalli, B Duchêne, A Mohammad-Djafari, H Ayasso
21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013
Variational Bayes approach for tomographic reconstruction
H Ayasso, S Fekih‐Salem, A Mohammad‐Djafari
AIP Conference Proceedings 1073 (1), 243-251, 2008
Non-parametric bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral data
C Meillier, F Chatelain, O Michel, H Ayasso
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Variational Bayesian inversion for microwave breast imaging
L Gharsalli, H Ayasso, B Duchêne, A Mohammad-Djafari
Computer Assisted Methods in Engineering and Science 21 (3/4), 199-210, 2014
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