Ali Mohammad-Djafari

Publication Activity (10 Years)

Years Active: 1984-2023
Publications (10 Years): 23

Top Topics

Image Reconstruction

Inverse Problems

Variational Bayes

Top Venues

IEEE Signal Process. Lett.

Publications

Liang Yu, Huimin Liu, Ning Chu, Ali Mohammad-Djafari, Weihua Yang
3D Non-Synchronous Measurements With Central Reference Based on Revolution and Autorotation of Spherical Microphone Array. IEEE Signal Process. Lett. 30 (2023)
Ali Mohammad-Djafari, Ning Chu, Li Wang, Liang Yu
Deep Learning and Inverse Problems. CoRR (2023)
Ning Chu, Keyu Hu, Liang Yu, Ali Mohammad-Djafari, Weihua Yang
High-Resolution Fast-Rotating Sound Localization Based on Modal Composition Beamforming and Bayesian Inversion. IEEE Signal Process. Lett. 30 (2023)
Ali Mohammad-Djafari
Regularization, Bayesian Inference, and Machine Learning Methods for Inverse Problems. Entropy 23 (12) (2021)
Masrour Makaremi, Camille Lacaule, Ali Mohammad-Djafari
Deep Learning and Artificial Intelligence for the Determination of the Cervical Vertebra Maturation Degree from Lateral Radiography. Entropy 21 (12) (2019)
Ning Chu, Yaochun Hou, Dazhuan Wu, Ali Mohammad-Djafari
A Variational Bayesian Inference with Small Dataset for High-Precision Infrared Thermal Imaging. ICSAI (2019)
Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra
Error-Splitting Forward Model for Iterative Reconstruction in X-Ray Computed Tomography and Application With Gauss-Markov-Potts Prior. IEEE Trans. Computational Imaging 5 (2) (2019)
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, Cedric Duee, Dominique Harang, Thomas Wallmach, Yassine El Mendili, Daniel Chateigner, Mike Buxton, Monique Le Guen
Building a Hyperspectral Library and its Incorporation into Sparse Unmixing for Mineral Identification. IGARSS (2018)
Ali Mohammad-Djafari, Mircea Dumitru, Camille Chapdelaine, Nicolas Gac
Bayesian Inference with Error Variable Splitting and Sparsity Enforcing Priors for Linear Inverse Problems. EUSIPCO (2018)
Li Wang, Ali Mohammad-Djafari, Nicolas Gac, Mircea Dumitru
Bayesian 3D X-ray Computed Tomography with a Hierarchical Prior Model for Sparsity in Haar Transform Domain. Entropy 20 (12) (2018)
Mircea Dumitru, Li Wang, Nicolas Gac, Ali Mohammad-Djafari
Performance comparison of Bayesian iterative algorithms for three classes of sparsity enforcing priors with application in computed tomography. ICIP (2017)
Li Wang, Ali Mohammad-Djafari, Nicolas Gac
X-ray Computed Tomography using a Sparsity Enforcing Prior Model Based on Haar Transformation in a Bayesian Framework. Fundam. Informaticae 155 (4) (2017)
Li Wang, Ali Mohammad-Djafari, Nicolas Gac
X-ray Computed Tomography simultaneous image reconstruction and contour detection using a hierarchical Markovian model. ICASSP (2017)
Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra
A 3D Bayesian Computed Tomography Reconstruction Algorithm with Gauss-Markov-Potts Prior Model and its Application to Real Data. Fundam. Informaticae 155 (4) (2017)
Ali Mohammad-Djafari
Direct nonparametric estimation of the period and the shape of a periodic component in short duration signals. EUSIPCO (2017)
Li Wang, Ali Mohammad-Djafari, Nicolas Gac
Bayesian method with sparsity enforcing prior of dual-tree complex wavelet transform coefficients for X-ray CT image reconstruction. EUSIPCO (2017)
Li Wang, Ali Mohammad-Djafari, Nicolas Gac, Mircea Dumitru
Computed tomography reconstruction based on a hierarchical model and variational Bayesian method. ICASSP (2016)
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, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR (2016)
Mircea Dumitru, Ali Mohammad-Djafari, Simona Baghai Sain
Precise periodic components estimation for chronobiological signals through Bayesian Inference with sparsity enforcing prior. EURASIP J. Bioinform. Syst. Biol. 2016 (2016)
Ali Mohammad-Djafari
Entropy, Information Theory, Information Geometry and Bayesian Inference in Data, Signal and Image Processing and Inverse Problems. Entropy 17 (6) (2015)
Mircea Dumitru, Ali Mohammad-Djafari
Periodic components estimation in chronobiological time series via a Bayesian approach. EUSIPCO (2015)
Ali Mohammad-Djafari
Variational Bayesian Approximation Method for Classification and Clustering with a Mixture of Student-t Model. GSI (2015)
Ali Mohammad-Djafari, Mircea Dumitru
Bayesian sparse solutions to linear inverse problems with non-stationary noise with Student-t priors. Digit. Signal Process. 47 (2015)
L. Gharsalli, Bernard Duchêne, Ali Mohammad-Djafari, Hacheme Ayasso
A gradient-like variational Bayesian approach: Application to microwave imaging for breast tumor detection. ICIP (2014)
Ali Mohammad-Djafari
Inverse problems in imaging science: from classical regularization methods to state of the art Bayesian methods. IPAS (2014)
Thomas Boulay, Nicolas Gac, Ali Mohammad-Djafari, Julien Lagoutte
Algorithmes de reconnaissance NCTR et parallélisation sur GPU. Traitement du Signal 30 (6) (2013)
Thomas Boulay, Ali Mohammad-Djafari, Nicolas Gac, Julien Lagoutte
High-Dimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model. GSI (2013)
R. Perenon, Eric Sage, Ali Mohammad-Djafari, Laurent Duraffourg, Sebastien Hentz, A. Brenac, Robert Morel, P. Grangeat
Bayesian inversion of multi-mode NEMS mass spectrometry signal. EUSIPCO (2013)
L. Gharsalli, Bernard Duchêne, Ali Mohammad-Djafari, Hacheme Ayasso
Microwave tomography for breast cancer detection within a variational Bayesian approach. EUSIPCO (2013)
Ali Mohammad-Djafari
Variational Bayesian Approximation for Linear Inverse Problems with a Hierarchical Prior Models. GSI (2013)
Ning Chu, Ali Mohammad-Djafari, José Picheral
A Bayesian Sparse Inference Approach in near-field wideband aeroacoustic imaging. ICIP (2012)
Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari
A variational Bayesian approach for frequency diverse non-linear microwave imaging. ICIP (2012)
Ali Mohammad-Djafari
Bayesian approach with prior models which enforce sparsity in signal and image processing. EURASIP J. Adv. Signal Process. 2012 (2012)
Farokh Marvasti, Ali Mohammad-Djafari, Jonathon A. Chambers
Editorial. EURASIP J. Adv. Signal Process. 2012 (2012)
Sha Zhu, Ali Mohammad-Djafari, Hongqiang Wang, Bin Deng, Xiang Li, Junjie Mao
Parameter estimation for SAR micromotion target based on sparse signal representation. EURASIP J. Adv. Signal Process. 2012 (2012)
Thomas Boulay, Julien Lagoutte, Ali Mohammad-Djafari, Nicolas Gac
A Fuzzy-Logic Based Non Cooperative Target Recognition. SITIS (2012)
Sha Zhu, Ali Mohammad-Djafari, Xiang Li, Junjie Mao
Inverse problems arising in different synthetic aperture radar imaging systems and a general Bayesian approach for them. Computational Imaging (2011)
Jérôme Lapuyade-Lahorgue, Ali Mohammad-Djafari
Nearest neighbors and correlation dimension for dimensionality estimation. Application to factor analysis of real biological time series data. ESANN (2011)
Caifang Cai, Ali Mohammad-Djafari, Samuel Legoupil, Thomas Rodet
Bayesian data fusion and inversion in X-ray multi-energy computed tomography. ICIP (2011)
Ning Chu, José Picheral, Ali Mohammad-Djafari
A robust super-resolution approach with sparsity constraint for near-field wideband acoustic imaging. ISSPIT (2011)
Mame Diarra Fall, Eric Barat, Claude Comtat, Thomas Dautremer, Thierry Montagu, Ali Mohammad-Djafari
A discrete-continuous Bayesian model for Emission Tomography. ICIP (2011)
Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari
Bayesian estimation with Gauss-Markov-Potts priors in optical diffraction tomography. Computational Imaging (2011)
Hacheme Ayasso, Ali Mohammad-Djafari
Joint NDT Image Restoration and Segmentation Using Gauss-Markov-Potts Prior Models and Variational Bayesian Computation. IEEE Trans. Image Process. 19 (9) (2010)
Ali Mohammad-Djafari
Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference. VISAPP (1) (2010)
Doriano-Boris Pougaza, Ali Mohammad-Djafari, Jean-François Bercher
Link between copula and tomography. Pattern Recognit. Lett. 31 (14) (2010)
Ali Mohammad-Djafari, Franck Daout, Philippe Fargette
Fusion and inversion of SAR data to obtain a superresolution image. ICIP (2009)
Ali Mohammad-Djafari
Super-Resolution: A Short Review, A New Method Based on Hidden Markov Modeling of HR Image and Future Challenges. Comput. J. 52 (1) (2009)
Hacheme Ayasso, Ali Mohammad-Djafari
Joint image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation. ICIP (2009)
Majdi Mansouri, Ali Mohammad-Djafari
Image Super-Resolution using a Bayesian approach with a Gauss-Markov-Potts prior. IPCV (2009)
Hacheme Ayasso, Ali Mohammad-Djafari
Variational Bayes with Gauss-Markov-Potts Prior Models for Joint Image Restoration and Segmentation. VISAPP (1) (2008)
Nadia Bali, Ali Mohammad-Djafari
Bayesian Approach With Hidden Markov Modeling and Mean Field Approximation for Hyperspectral Data Analysis. IEEE Trans. Image Process. 17 (2) (2008)
Feng Su, Ali Mohammad-Djafari
Bayesian separation of document images with hidden markov model. VISAPP (Special Sessions) (2007)
Hichem Snoussi, Ali Mohammad-Djafari
Estimation of Structured Gaussian Mixtures: The Inverse EM Algorithm. IEEE Trans. Signal Process. 55 (7-1) (2007)
Nadia Bali, Ali Mohammad-Djafari
A Variational Bayesian Algorithm for BSS Problem with Hidden Gauss-Markov Models for the Sources. ICA (2007)
Fabrice Humblot, Ali Mohammad-Djafari
Super-Resolution Using Hidden Markov Model and Bayesian Detection Estimation Framework. EURASIP J. Adv. Signal Process. 2006 (2006)
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpour
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images. ESANN (2006)
Ali Mohammad-Djafari, Nadia Bali, Adel Mohammadpour
Hierarchical Markovian Models for Hyperspectral Image Segmentation. IWICPAS (2006)
Ali Mohammad-Djafari, Lionel Robillard
Hierarchical Markovian models for 3D Computed Tomography in non destructive testing applications. EUSIPCO (2006)
Ali Mohammad-Djafari
Bayesian source separation: beyond PCA and ICA. ESANN (2006)
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpour
Joint Dimensionality Reduction, Classification and Segmentation of Hyperspectral Images. ICIP (2006)
Adel Mohammadpour, Ali Mohammad-Djafari
Inference with the Median of a Prior. Entropy 8 (2) (2006)
Ali Mohammad-Djafari
Bayesian inference for inverse problems in signal and image processing and applications. Int. J. Imaging Syst. Technol. 16 (5) (2006)
Ali Mohammad-Djafari, Olivier Féron
Bayesian approach to change points detection in time series. Int. J. Imaging Syst. Technol. 16 (5) (2006)
Adel Mohammadpour, Ali Mohammad-Djafari
On Neyman-Pearson Lemma for Crisp, Random and Fuzzy Hypotheses. SMPS (2006)
Saïd Moussaoui, David Brie, Ali Mohammad-Djafari, Cédric Carteret
Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling. IEEE Trans. Signal Process. 54 (11) (2006)
M. M. Ichir, Ali Mohammad-Djafari
Hidden Markov Models for Wavelet-Based Blind Source Separation. IEEE Trans. Image Process. 15 (7) (2006)
Mahieddine Ichir, Ali Mohammad-Djafari
A mean field approximation approach to blind source separation with Lp priors. EUSIPCO (2005)
M. M. Ichir, Ali Mohammad-Djafari
Hidden Markov models for wavelet image separation and denoising. ICASSP (5) (2005)
Olivier Féron, Ali Mohammad-Djafari
Image fusion and unsupervised joint segmentation using a HMM and MCMC algorithms. J. Electronic Imaging 14 (2) (2005)
Patrice Brault, Ali Mohammad-Djafari
Unsupervised Bayesian wavelet domain segmentation using Potts-Markov random field modeling. J. Electronic Imaging 14 (4) (2005)
Hichem Snoussi, Ali Mohammad-Djafari
Fast joint separation and segmentation of mixed images. J. Electronic Imaging 13 (2) (2004)
Saïd Moussaoui, David Brie, Olivier Caspary, Ali Mohammad-Djafari
A Bayesian method for positive source separation. ICASSP (5) (2004)
Charles Soussen, Ali Mohammad-Djafari
Polygonal and polyhedral contour reconstruction in computed tomography. IEEE Trans. Image Process. 13 (11) (2004)
Hichem Snoussi, Ali Mohammad-Djafari
Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior. J. VLSI Signal Process. 37 (2-3) (2004)
Ali Mohammad-Djafari
Fusion of X ray radiographic data and anatomical data in computed tomography. ICIP (2) (2002)
Hichem Snoussi, Ali Mohammad-Djafari
MCMC joint separation and segmentation of hidden Markov fields. NNSP (2002)
Ali Mohammad-Djafari
Hierarchical Markov modeling for fusion of X ray radiographic data and anatomical data in computed tomography. ISBI (2002)
Ali Mohammad-Djafari, Charles Soussen
Closed surface reconstruction in X-ray tomography. ICIP (1) (2001)
Ali Mohammad-Djafari
Guest Editorial: Special Section on Mathematical Modeling, Statistical Estimation, and Inverse Problems. J. Electronic Imaging 9 (3) (2000)
Mila Nikolova, Jérôme Idier, Ali Mohammad-Djafari
Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF. IEEE Trans. Image Process. 7 (4) (1998)
Hervé Carfantan, Ali Mohammad-Djafari, Jérôme Idier
A single site update algorithm for nonlinear diffraction tomography. ICASSP (1997)
Ali Mohammad-Djafari, Yassine Khayi
Array processing techniques and shape reconstruction in tomography. ICASSP (1997)
Ali Mohammad-Djafari, Yassine Khayi, Ken D. Sauer, Eric Cano
Reconstruction of the Shape of a Compact Object from Few Projections. ICIP (1) (1997)
Mila Nikolova, Ali Mohammad-Djafari
Eddy current tomography using a binary Markov model. Signal Process. 49 (2) (1996)
Ali Mohammad-Djafari
Joint estimation of parameters and hyperparameters in a Bayesian approach of solving inverse problems. ICIP (2) (1996)
Hervé Carfantan, Ali Mohammad-Djafari
A Bayesian approach for nonlinear inverse scattering tomographic imaging. ICASSP (1995)
Mila Nikolova, Ali Mohammad-Djafari, Jérôme Idier
Inversion of large-support ill-conditioned linear operators using a Markov model with a line process. ICASSP (5) (1994)
Maï Khuong Nguyen, Ali Mohammad-Djafari
Bayesian approach with the maximum entropy principle in image reconstruction from microwave scattered field data. IEEE Trans. Medical Imaging 13 (2) (1994)
Ali Mohammad-Djafari
On the estimation of hyperparameters in Bayesian approach of solving inverse problems. ICASSP (5) (1993)
Ali Mohammad-Djafari, Guy Demoment
Estimating priors in maximum entropy image processing. ICASSP (1990)
Ali Mohammad-Djafari, Guy Demoment
Maximum entropy diffraction tomography. ICASSP (1986)
Didier Saint-Félix, Ali Mohammad-Djafari, Guy Demoment
Iterative generalized inverse image restoration. ICASSP (1984)