A. Mohammad-djafari, Bayesian inference with hierarchical prior models for inverse problems in imaging systems, 2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA), pp.7-18, 2013.
DOI : 10.1109/WoSSPA.2013.6602329
URL : http://djafari.free.fr/pdf/Wosspa2013_Tutorial_paper_v1.pdf

N. Gac, A. Vabre, and A. Mohammad-djafari, Multi GPU parallelization of 3D bayesian CT algorithm and its application on real foam reonconstruction with incomplete data set, Proceedings FVR, pp.35-38, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00658653

R. Molina, A. López, J. M. Martín, and A. K. Katsaggelos, Variational posterior distribution approximation in bayesian emission tomography reconstruction using a gamma mixture prior, VISAPP (Special Sessions), pp.165-176, 2007.

A. Mohammad-djafari and L. Robillard, Hierarchical Markovian models for 3D computed tomography in non destructive testing applications, EUSIPCO, 2006.

H. Zou and T. Hastie, Regularization and variable selection via the elastic net, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.5, issue.2, pp.301-320, 2005.
DOI : 10.1073/pnas.201162998

A. Mohammad-djafari, Gauss-Markov-Potts Priors for Images in Computer Tomography Resulting to Joint Optimal Reconstruction and segmentation, International Journal of Tomography & Simulation, vol.11, pp.76-92, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00447139

C. M. Bishop and M. E. Tipping, Variational relevance vector machines, Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence, pp.46-53, 2000.

A. Miyamoto, K. Watanabe, K. Ikeda, and M. Sato, Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT, The 2011 International Joint Conference on Neural Networks, pp.1230-1236, 2011.
DOI : 10.1109/IJCNN.2011.6033364