Iterative generalized inverse image restoration. - Didier Saint-Félix; Ali Mohammad-Djafari; Guy Demoment (ICASSP, 1984)

Maximum entropy diffraction tomography. - Ali Mohammad-Djafari; Guy Demoment (ICASSP, 1986)

Estimating priors in maximum entropy image processing. - Ali Mohammad-Djafari; Guy Demoment (ICASSP, 1990)

On the estimation of hyperparameters in Bayesian approach of solving inverse problems. - Ali Mohammad-Djafari (ICASSP (5), 1993)

Inversion of large-support ill-conditioned linear operators using a Markov model with a line process. - Mila Nikolova; Ali Mohammad-Djafari; Jérôme Idier (ICASSP (5), 1994)

Bayesian approach with the maximum entropy principle in image reconstruction from microwave scattered field data. - Maï Khuong Nguyen; Ali Mohammad-Djafari (IEEE Trans. Medical Imaging, 1994)

A Bayesian approach for nonlinear inverse scattering tomographic imaging. - Hervé Carfantan; Ali Mohammad-Djafari (ICASSP, 1995)

Joint estimation of parameters and hyperparameters in a Bayesian approach of solving inverse problems. - Ali Mohammad-Djafari (ICIP (2), 1996)

Eddy current tomography using a binary Markov model. - Mila Nikolova; Ali Mohammad-Djafari (Signal Process., 1996)

A single site update algorithm for nonlinear diffraction tomography. - Hervé Carfantan; Ali Mohammad-Djafari; Jérôme Idier (ICASSP, 1997)

Array processing techniques and shape reconstruction in tomography. - Ali Mohammad-Djafari; Yassine Khayi (ICASSP, 1997)

Reconstruction of the Shape of a Compact Object from Few Projections. - Ali Mohammad-Djafari; Yassine Khayi; Ken D. Sauer; Eric Cano (ICIP (1), 1997)

Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF. - Mila Nikolova; Jérôme Idier; Ali Mohammad-Djafari (IEEE Trans. Image Process., 1998)

Guest Editorial: Special Section on Mathematical Modeling, Statistical Estimation, and Inverse Problems. - Ali Mohammad-Djafari (J. Electronic Imaging, 2000)

Closed surface reconstruction in X-ray tomography. - Ali Mohammad-Djafari; Charles Soussen (ICIP (1), 2001)

Fusion of X ray radiographic data and anatomical data in computed tomography. - Ali Mohammad-Djafari (ICIP (2), 2002)

Hierarchical Markov modeling for fusion of X ray radiographic data and anatomical data in computed tomography. - Ali Mohammad-Djafari (ISBI, 2002)

MCMC joint separation and segmentation of hidden Markov fields. - Hichem Snoussi; Ali Mohammad-Djafari (NNSP, 2002)

A Bayesian method for positive source separation. - Saïd Moussaoui; David Brie; Olivier Caspary; Ali Mohammad-Djafari (ICASSP (5), 2004)

Fast joint separation and segmentation of mixed images. - Hichem Snoussi; Ali Mohammad-Djafari (J. Electronic Imaging, 2004)

Polygonal and polyhedral contour reconstruction in computed tomography. - Charles Soussen; Ali Mohammad-Djafari (IEEE Trans. Image Process., 2004)

Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior. - Hichem Snoussi; Ali Mohammad-Djafari (J. VLSI Signal Process., 2004)

A mean field approximation approach to blind source separation with Lp priors. - Mahieddine Ichir; Ali Mohammad-Djafari (EUSIPCO, 2005)

Hidden Markov models for wavelet image separation and denoising. - M. M. Ichir; Ali Mohammad-Djafari (ICASSP (5), 2005)

Unsupervised Bayesian wavelet domain segmentation using Potts-Markov random field modeling. - Patrice Brault; Ali Mohammad-Djafari (J. Electronic Imaging, 2005)

Image fusion and unsupervised joint segmentation using a HMM and MCMC algorithms. - Olivier Féron; Ali Mohammad-Djafari (J. Electronic Imaging, 2005)

Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images. - Nadia Bali; Ali Mohammad-Djafari; Adel Mohammadpour (ESANN, 2006)

Bayesian source separation: beyond PCA and ICA. - Ali Mohammad-Djafari (ESANN, 2006)

Hierarchical Markovian models for 3D Computed Tomography in non destructive testing applications. - Ali Mohammad-Djafari; Lionel Robillard (EUSIPCO, 2006)

Joint Dimensionality Reduction, Classification and Segmentation of Hyperspectral Images. - Nadia Bali; Ali Mohammad-Djafari; Adel Mohammadpour (ICIP, 2006)

Hierarchical Markovian Models for Hyperspectral Image Segmentation. - Ali Mohammad-Djafari; Nadia Bali; Adel Mohammadpour (IWICPAS, 2006)

On Neyman-Pearson Lemma for Crisp, Random and Fuzzy Hypotheses. - Adel Mohammadpour; Ali Mohammad-Djafari (SMPS, 2006)

Super-Resolution Using Hidden Markov Model and Bayesian Detection Estimation Framework. - Fabrice Humblot; Ali Mohammad-Djafari (EURASIP J. Adv. Signal Process., 2006)

Inference with the Median of a Prior. - Adel Mohammadpour; Ali Mohammad-Djafari (Entropy, 2006)

Bayesian inference for inverse problems in signal and image processing and applications. - Ali Mohammad-Djafari (Int. J. Imaging Syst. Technol., 2006)

Bayesian approach to change points detection in time series. - Ali Mohammad-Djafari; Olivier Féron (Int. J. Imaging Syst. Technol., 2006)

Hidden Markov Models for Wavelet-Based Blind Source Separation. - M. M. Ichir; Ali Mohammad-Djafari (IEEE Trans. Image Process., 2006)

Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling. - Saïd Moussaoui; David Brie; Ali Mohammad-Djafari; Cédric Carteret (IEEE Trans. Signal Process., 2006)

A Variational Bayesian Algorithm for BSS Problem with Hidden Gauss-Markov Models for the Sources. - Nadia Bali; Ali Mohammad-Djafari (ICA, 2007)

Bayesian separation of document images with hidden markov model. - Feng Su; Ali Mohammad-Djafari (VISAPP (Special Sessions), 2007)

Estimation of Structured Gaussian Mixtures: The Inverse EM Algorithm. - Hichem Snoussi; Ali Mohammad-Djafari (IEEE Trans. Signal Process., 2007)

Variational Bayes with Gauss-Markov-Potts Prior Models for Joint Image Restoration and Segmentation. - Hacheme Ayasso; Ali Mohammad-Djafari (VISAPP (1), 2008)

Bayesian Approach With Hidden Markov Modeling and Mean Field Approximation for Hyperspectral Data Analysis. - Nadia Bali; Ali Mohammad-Djafari (IEEE Trans. Image Process., 2008)

Joint image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation. - Hacheme Ayasso; Ali Mohammad-Djafari (ICIP, 2009)

Fusion and inversion of SAR data to obtain a superresolution image. - Ali Mohammad-Djafari; Franck Daout; Philippe Fargette (ICIP, 2009)

Image Super-Resolution using a Bayesian approach with a Gauss-Markov-Potts prior. - Majdi Mansouri; Ali Mohammad-Djafari (IPCV, 2009)

Super-Resolution: A Short Review, A New Method Based on Hidden Markov Modeling of HR Image and Future Challenges. - Ali Mohammad-Djafari (Comput. J., 2009)

Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference. - Ali Mohammad-Djafari (VISAPP (1), 2010)

Link between copula and tomography. - Doriano-Boris Pougaza; Ali Mohammad-Djafari; Jean-François Bercher (Pattern Recognit. Lett., 2010)

Joint NDT Image Restoration and Segmentation Using Gauss-Markov-Potts Prior Models and Variational Bayesian Computation. - Hacheme Ayasso; Ali Mohammad-Djafari (IEEE Trans. Image Process., 2010)

Bayesian estimation with Gauss-Markov-Potts priors in optical diffraction tomography. - Hacheme Ayasso; Bernard Duchêne; Ali Mohammad-Djafari (Computational Imaging, 2011)

Inverse problems arising in different synthetic aperture radar imaging systems and a general Bayesian approach for them. - Sha Zhu; Ali Mohammad-Djafari; Xiang Li 014; Junjie Mao (Computational Imaging, 2011)

Nearest neighbors and correlation dimension for dimensionality estimation. Application to factor analysis of real biological time series data. - Jérôme Lapuyade-Lahorgue; Ali Mohammad-Djafari (ESANN, 2011)

Bayesian data fusion and inversion in X-ray multi-energy computed tomography. - Caifang Cai; Ali Mohammad-Djafari; Samuel Legoupil; Thomas Rodet (ICIP, 2011)

A discrete-continuous Bayesian model for Emission Tomography. - Mame Diarra Fall; Eric Barat; Claude Comtat; Thomas Dautremer; Thierry Montagu; Ali Mohammad-Djafari (ICIP, 2011)

A robust super-resolution approach with sparsity constraint for near-field wideband acoustic imaging. - Ning Chu; José Picheral; Ali Mohammad-Djafari (ISSPIT, 2011)

A variational Bayesian approach for frequency diverse non-linear microwave imaging. - Hacheme Ayasso; Bernard Duchêne; Ali Mohammad-Djafari (ICIP, 2012)

A Bayesian Sparse Inference Approach in near-field wideband aeroacoustic imaging. - Ning Chu; Ali Mohammad-Djafari; José Picheral (ICIP, 2012)

A Fuzzy-Logic Based Non Cooperative Target Recognition. - Thomas Boulay; Julien Lagoutte; Ali Mohammad-Djafari; Nicolas Gac (SITIS, 2012)

Editorial. - Farokh Marvasti; Ali Mohammad-Djafari; Jonathon A. Chambers (EURASIP J. Adv. Signal Process., 2012)

Bayesian approach with prior models which enforce sparsity in signal and image processing. - Ali Mohammad-Djafari (EURASIP J. Adv. Signal Process., 2012)

Parameter estimation for SAR micromotion target based on sparse signal representation. - Sha Zhu; Ali Mohammad-Djafari; Hongqiang Wang 001; Bin Deng 002; Xiang Li 014; Junjie Mao (EURASIP J. Adv. Signal Process., 2012)

Microwave tomography for breast cancer detection within a variational Bayesian approach. - L. Gharsalli; Bernard Duchêne; Ali Mohammad-Djafari; Hacheme Ayasso (EUSIPCO, 2013)

Bayesian inversion of multi-mode NEMS mass spectrometry signal. - R. Perenon; Eric Sage; Ali Mohammad-Djafari; Laurent Duraffourg; Sebastien Hentz; A. Brenac; Robert Morel; P. Grangeat (EUSIPCO, 2013)

High-Dimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model. - Thomas Boulay; Ali Mohammad-Djafari; Nicolas Gac; Julien Lagoutte (GSI, 2013)

Variational Bayesian Approximation for Linear Inverse Problems with a Hierarchical Prior Models. - Ali Mohammad-Djafari (GSI, 2013)

Algorithmes de reconnaissance NCTR et parallélisation sur GPU. - Thomas Boulay; Nicolas Gac; Ali Mohammad-Djafari; Julien Lagoutte (Traitement du Signal, 2013)

A gradient-like variational Bayesian approach: Application to microwave imaging for breast tumor detection. - L. Gharsalli; Bernard Duchêne; Ali Mohammad-Djafari; Hacheme Ayasso (ICIP, 2014)

Inverse problems in imaging science: from classical regularization methods to state of the art Bayesian methods. - Ali Mohammad-Djafari (IPAS, 2014)

Periodic components estimation in chronobiological time series via a Bayesian approach. - Mircea Dumitru; Ali Mohammad-Djafari (EUSIPCO, 2015)

Variational Bayesian Approximation Method for Classification and Clustering with a Mixture of Student-t Model. - Ali Mohammad-Djafari (GSI, 2015)

Bayesian sparse solutions to linear inverse problems with non-stationary noise with Student-t priors. - Ali Mohammad-Djafari; Mircea Dumitru (Digit. Signal Process., 2015)

Entropy, Information Theory, Information Geometry and Bayesian Inference in Data, Signal and Image Processing and Inverse Problems. - Ali Mohammad-Djafari (Entropy, 2015)

Computed tomography reconstruction based on a hierarchical model and variational Bayesian method. - Li Wang 047; Ali Mohammad-Djafari; Nicolas Gac; Mircea Dumitru (ICASSP, 2016)

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). - Vinayak Abrol; Olivier Absil; Pierre-Antoine Absil; Sandrine Anthoine; Philippe Antoine; Thomas Arildsen; Nancy Bertin; Folkert Bleichrodt; Jérôme Bobin; Anne Bol; Antoine Bonnefoy; Francesco Caltagirone; et al. (CoRR, 2016)

Precise periodic components estimation for chronobiological signals through Bayesian Inference with sparsity enforcing prior. - Mircea Dumitru; Ali Mohammad-Djafari; Simona Baghai Sain (EURASIP J. Bioinform. Syst. Biol., 2016)

Direct nonparametric estimation of the period and the shape of a periodic component in short duration signals. - Ali Mohammad-Djafari (EUSIPCO, 2017)

Bayesian method with sparsity enforcing prior of dual-tree complex wavelet transform coefficients for X-ray CT image reconstruction. - Li Wang 047; Ali Mohammad-Djafari; Nicolas Gac (EUSIPCO, 2017)

X-ray Computed Tomography simultaneous image reconstruction and contour detection using a hierarchical Markovian model. - Li Wang 047; Ali Mohammad-Djafari; Nicolas Gac (ICASSP, 2017)

Performance comparison of Bayesian iterative algorithms for three classes of sparsity enforcing priors with application in computed tomography. - Mircea Dumitru; Li Wang 047; Nicolas Gac; Ali Mohammad-Djafari (ICIP, 2017)

A 3D Bayesian Computed Tomography Reconstruction Algorithm with Gauss-Markov-Potts Prior Model and its Application to Real Data. - Camille Chapdelaine; Ali Mohammad-Djafari; Nicolas Gac; Estelle Parra (Fundam. Informaticae, 2017)

X-ray Computed Tomography using a Sparsity Enforcing Prior Model Based on Haar Transformation in a Bayesian Framework. - Li Wang 047; Ali Mohammad-Djafari; Nicolas Gac (Fundam. Informaticae, 2017)

Bayesian Inference with Error Variable Splitting and Sparsity Enforcing Priors for Linear Inverse Problems. - Ali Mohammad-Djafari; Mircea Dumitru; Camille Chapdelaine; Nicolas Gac (EUSIPCO, 2018)

Building a Hyperspectral Library and its Incorporation into Sparse Unmixing for Mineral Identification. - Thanh Bui; Beate Orberger; Simon B. Blancher; Ali Mohammad-Djafari; Henry Pilliere; Anne Salaün; Xavier Bourrat; Nicolas Maubec; Thomas Lefévre; Celine Rodriguez; Antanas Vaitkus; Saulius Grazulis; et al. (IGARSS, 2018)

Bayesian 3D X-ray Computed Tomography with a Hierarchical Prior Model for Sparsity in Haar Transform Domain. - Li Wang 047; Ali Mohammad-Djafari; Nicolas Gac; Mircea Dumitru (Entropy, 2018)

A Variational Bayesian Inference with Small Dataset for High-Precision Infrared Thermal Imaging. - Ning Chu; Yaochun Hou; Dazhuan Wu; Ali Mohammad-Djafari (ICSAI, 2019)

Deep Learning and Artificial Intelligence for the Determination of the Cervical Vertebra Maturation Degree from Lateral Radiography. - Masrour Makaremi; Camille Lacaule; Ali Mohammad-Djafari (Entropy, 2019)

Error-Splitting Forward Model for Iterative Reconstruction in X-Ray Computed Tomography and Application With Gauss-Markov-Potts Prior. - Camille Chapdelaine; Ali Mohammad-Djafari; Nicolas Gac; Estelle Parra (IEEE Trans. Computational Imaging, 2019)

Regularization, Bayesian Inference, and Machine Learning Methods for Inverse Problems. - Ali Mohammad-Djafari (Entropy, 2021)

Deep Learning and Inverse Problems. - Ali Mohammad-Djafari; Ning Chu; Li Wang 047; Liang Yu 003 (CoRR, 2023)

High-Resolution Fast-Rotating Sound Localization Based on Modal Composition Beamforming and Bayesian Inversion. - Ning Chu; Keyu Hu; Liang Yu 003; Ali Mohammad-Djafari; Weihua Yang (IEEE Signal Process. Lett., 2023)

3D Non-Synchronous Measurements With Central Reference Based on Revolution and Autorotation of Spherical Microphone Array. - Liang Yu 003; Huimin Liu; Ning Chu; Ali Mohammad-Djafari; Weihua Yang (IEEE Signal Process. Lett., 2023)

Model Based and Physics Informed Deep Learning Neural Network Structures. - Ali Mohammad-Djafari; Ning Chu; Li Wang 047; Caifang Cai; Liang Yu 003 (CoRR, 2024)

A Separation-Based Localization Method Between Rotating and Static Sources. - Keyu Hu; Ning Chu; Liang Yu 003; Hanbo Jiang; Ali Mohammad-Djafari (IEEE Signal Process. Lett., 2024)

Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms. - Seyedeh Azadeh Fallah Mortezanejad; Ali Mohammad-Djafari (Entropy, 2024)

Bayesian Physics Informed Neural Networks for Linear Inverse problems. - Ali Mohammad-Djafari (CoRR, 2025)

Physics-Informed Neural Networks with Unknown Partial Differential Equations: an Application in Multivariate Time Series. - Seyedeh Azadeh Fallah Mortezanejad; Ruochen Wang; Ali Mohammad-Djafari (CoRR, 2025)

Temperature calibration of surface emissivities with an improved thermal image enhancement network. - Ning Chu; Siya Zheng; Shanqing Zhang; Li Li 014; Caifang Cai; Ali Mohammad-Djafari; Feng Zhao; Yuanbo Song (CoRR, 2025)

Digital Twins in Industrial Applications: Concepts, Mathematical Modeling, and Use Cases. - Ali Mohammad-Djafari (CoRR, 2025)

Model-based Bayesian Fusion-Net for infrared and visible image fusion. - Wang Li; Kuang Yafang; Cai Ziyi; Ning Chu; Ali Mohammad-Djafari (EURASIP J. Image Video Process., 2025)