| 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 | 260 | 2006 |
| Vision Transformers in medical computer vision—A contemplative retrospection A Parvaiz, MA Khalid, R Zafar, H Ameer, M Ali, MM Fraz Engineering Applications of Artificial Intelligence 122, 106126, 2023 | 177 | 2023 |
| 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 | 128 | 2010 |
| A Matlab program to calculate the maximum entropy distributions A Mohammad-Djafari Maximum Entropy and Bayesian Methods: Seattle, 1991, 221-233, 1992 | 103 | 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 | 99 | 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 | 96 | 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 | 94 | 2008 |
| A Bayesian approach to source separation A Mohammad-Djafari AIP Conference proceedings 567 (1), 221-244, 2001 | 90 | 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 | 83 | 2012 |
| 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 | 81 | 2019 |
| 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 | 80 | 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 | 79 | 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 | 76 | 2014 |
| Maximum entropies copulas DB Pougaza, A Mohammad-Djafari 30th International Workshop on Bayesian Inference and Maximum Entropy …, 2010 | 72 | 2010 |
| 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 | 69 | 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 | 67 | 1996 |
| A full Bayesian approach for inverse problems A Mohammad-Djafari Maximum Entropy and Bayesian Methods: Santa Fe, New Mexico, USA, 1995 …, 1996 | 67 | 1996 |
| Quantum tomography of electrical currents R Bisognin, A Marguerite, B Roussel, M Kumar, C Cabart, C Chapdelaine, ... Nature Communications 10 (1), 3379, 2019 | 66 | 2019 |
| Hidden Markov models for wavelet-based blind source separation MM Ichir, A Mohammad-Djafari IEEE Transactions on Image processing 15 (7), 1887-1899, 2006 | 66 | 2006 |
| 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 | 64 | 2013 |