Ali Mohammad-Djafari
Ali Mohammad-Djafari
Research Director at CNRS, France
Verified email at - Homepage
Cited by
Cited by
Separation of non-negative mixture of non-negative sources using a Bayesian approach and MCMC sampling
S Moussaoui, D Brie, A Mohammad-Djafari, C Carteret
IEEE transactions on signal processing 54 (11), 4133-4145, 2006
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
A Matlab program to calculate the maximum entropy distributions
A Mohammad-Djafari
Maximum Entropy and Bayesian Methods: Seattle, 1991, 221-233, 1992
Bayesian analysis of spectral mixture data using Markov chain Monte Carlo methods
S Moussaoui, C Carteret, D Brie, A Mohammad-Djafari
Chemometrics and intelligent laboratory systems 81 (2), 137-148, 2006
Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF
M Nikolova, J Idier, A Mohammad-Djafari
IEEE Transactions on Image Processing 7 (4), 571-585, 1998
Bayesian approach with hidden Markov modeling and mean field approximation for hyperspectral data analysis
N Bali, A Mohammad-Djafari
IEEE Transactions on Image Processing 17 (2), 217-225, 2008
A Bayesian approach to source separation
A Mohammad-Djafari
AIP Conference proceedings 567 (1), 221-244, 2001
Bayesian approach with prior models which enforce sparsity in signal and image processing
A Mohammad-Djafari
EURASIP Journal on Advances in Signal Processing 2012, 1-19, 2012
A full‐spectral Bayesian reconstruction approach based on the material decomposition model applied in dual‐energy computed tomography
C Cai, T Rodet, S Legoupil, A Mohammad‐Djafari
Medical physics 40 (11), 111916, 2013
A circadian clock transcription model for the personalization of cancer chronotherapy
XM Li, A Mohammad-Djafari, M Dumitru, S Dulong, E Filipski, ...
Cancer research 73 (24), 7176-7188, 2013
A robust super-resolution approach with sparsity constraint in acoustic imaging
N Chu, J Picheral, A Mohammad-Djafari, N Gac
Applied Acoustics 76, 197-208, 2014
Regularization, maximum entropy and probabilistic methods in mass spectrometry data processing problems
A Mohammad-Djafari, JF Giovannelli, G Demoment, J Idier
International Journal of Mass Spectrometry 215 (1-3), 175-193, 2002
Joint estimation of parameters and hyperparameters in a Bayesian approach of solving inverse problems
A Mohammad-Djafari
Proceedings of 3rd IEEE International Conference on Image Processing 2, 473-476, 1996
Maximum entropies copulas
DB Pougaza, A Mohammad-Djafari
30th International Workshop on Bayesian Inference and Maximum Entropy …, 2010
Hidden Markov models for wavelet-based blind source separation
MM Ichir, A Mohammad-Djafari
IEEE Transactions on Image processing 15 (7), 1887-1899, 2006
A full Bayesian approach for inverse problems
A Mohammad-Djafari
Maximum Entropy and Bayesian Methods: Santa Fe, New Mexico, USA, 1995 …, 1996
Microwave imaging of inhomogeneous objects made of a finite number of dielectric and conductive materials from experimental data
O Féron, B Duchêne, A Mohammad-Djafari
Inverse Problems 21 (6), S95, 2005
Robust Bayesian super-resolution approach via sparsity enforcing a priori for near-field aeroacoustic source imaging
N Chu, A Mohammad-Djafari, J Picheral
Journal of Sound and Vibration 332 (18), 4369-4389, 2013
Maximum entropy image reconstruction in X-ray and diffraction tomography
A Mohammad-Djafari, G Demoment
IEEE transactions on Medical Imaging 7 (4), 345-354, 1988
Deep learning and artificial intelligence for the determination of the cervical vertebra maturation degree from lateral radiography
M Makaremi, C Lacaule, A Mohammad-Djafari
Entropy 21 (12), 1222, 2019
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