Ali Mohammad-Djafari

105 papers B 12C 2Misc 8Journal 50Unranked 33
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayesian PINNs for uncertainty-aware inverse problems (BPINN-IP).
CoRR
Ali Mohammad-Djafari
2026 J jnl
Bayesian physics-informed neural networks for inverse problems (BPINN-IP): Application in infrared image processing.
J. Frankl. Inst.
Ali Mohammad-Djafari, Ning Chu, Li Wang
2025 J jnl
Bayesian Physics Informed Neural Networks for Linear Inverse problems.
CoRR
Ali Mohammad-Djafari
2025 J jnl
Bayesian Physics-Informed Neural Networks for Inverse Problems (BPINN-IP): Application in Infrared Image Processing.
CoRR
Ali Mohammad-Djafari, Ning Chu, Li Wang
2025 J jnl
Digital Twins in Industrial Applications: Concepts, Mathematical Modeling, and Use Cases.
CoRR
Ali Mohammad-Djafari
2025 J jnl
Infrared-optical image segmentation using a potts prior and hierarchical bayesian model.
EURASIP J. Image Video Process.
Wang Li, Zhao Puhan, Ning Chu, Ali Mohammad-Djafari
2025 J jnl
Model-based Bayesian Fusion-Net for infrared and visible image fusion.
EURASIP J. Image Video Process.
Wang Li, Kuang Yafang, Cai Ziyi, Ning Chu, Ali Mohammad-Djafari
2025 J jnl
Physics-Informed Neural Networks with Unknown Partial Differential Equations: An Application in Multivariate Time Series.
Entropy
Seyedeh Azadeh Fallah Mortezanejad, Ruochen Wang, Ali Mohammad-Djafari
2025 J jnl
Physics-Informed Neural Networks with Unknown Partial Differential Equations: an Application in Multivariate Time Series.
CoRR
Seyedeh Azadeh Fallah Mortezanejad, Ruochen Wang, Ali Mohammad-Djafari
2025 J jnl
Temperature calibration of surface emissivities with an improved thermal image enhancement network.
CoRR
Ning Chu, Siya Zheng, Shanqing Zhang, Li Li, Caifang Cai, Ali Mohammad-Djafari, Feng Zhao, Yuanbo Song
2024 J jnl
A Separation-Based Localization Method Between Rotating and Static Sources.
IEEE Signal Process. Lett.
Keyu Hu, Ning Chu, Liang Yu, Hanbo Jiang, Ali Mohammad-Djafari
2024 J jnl
Model Based and Physics Informed Deep Learning Neural Network Structures.
CoRR
Ali Mohammad-Djafari, Ning Chu, Li Wang, Caifang Cai, Liang Yu
2024 J jnl
Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms.
Entropy
Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
2023 J jnl
3D Non-Synchronous Measurements With Central Reference Based on Revolution and Autorotation of Spherical Microphone Array.
IEEE Signal Process. Lett.
Liang Yu, Huimin Liu, Ning Chu, Ali Mohammad-Djafari, Weihua Yang
2023 J jnl
Deep Learning and Inverse Problems.
CoRR
Ali Mohammad-Djafari, Ning Chu, Li Wang, Liang Yu
2023 J jnl
High-Resolution Fast-Rotating Sound Localization Based on Modal Composition Beamforming and Bayesian Inversion.
IEEE Signal Process. Lett.
Ning Chu, Keyu Hu, Liang Yu, Ali Mohammad-Djafari, Weihua Yang
2021 J jnl
Regularization, Bayesian Inference, and Machine Learning Methods for Inverse Problems.
Entropy
Ali Mohammad-Djafari
2019 — conf
A Variational Bayesian Inference with Small Dataset for High-Precision Infrared Thermal Imaging.
ICSAI
Ning Chu, Yaochun Hou, Dazhuan Wu, Ali Mohammad-Djafari
2019 J jnl
Deep Learning and Artificial Intelligence for the Determination of the Cervical Vertebra Maturation Degree from Lateral Radiography.
Entropy
Masrour Makaremi, Camille Lacaule, Ali Mohammad-Djafari
2019 J jnl
Error-Splitting Forward Model for Iterative Reconstruction in X-Ray Computed Tomography and Application With Gauss-Markov-Potts Prior.
IEEE Trans. Computational Imaging
Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra
2018 J jnl
Bayesian 3D X-ray Computed Tomography with a Hierarchical Prior Model for Sparsity in Haar Transform Domain.
Entropy
Li Wang, Ali Mohammad-Djafari, Nicolas Gac, Mircea Dumitru
2018 — conf
Bayesian Inference with Error Variable Splitting and Sparsity Enforcing Priors for Linear Inverse Problems.
EUSIPCO
Ali Mohammad-Djafari, Mircea Dumitru, Camille Chapdelaine, Nicolas Gac
2018 C conf
Building a Hyperspectral Library and its Incorporation into Sparse Unmixing for Mineral Identification.
IGARSS
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
2017 J jnl
A 3D Bayesian Computed Tomography Reconstruction Algorithm with Gauss-Markov-Potts Prior Model and its Application to Real Data.
Fundam. Informaticae
Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra
2017 — conf
Bayesian method with sparsity enforcing prior of dual-tree complex wavelet transform coefficients for X-ray CT image reconstruction.
EUSIPCO
Li Wang, Ali Mohammad-Djafari, Nicolas Gac
2017 — conf
Direct nonparametric estimation of the period and the shape of a periodic component in short duration signals.
EUSIPCO
Ali Mohammad-Djafari
2017 B conf
Performance comparison of Bayesian iterative algorithms for three classes of sparsity enforcing priors with application in computed tomography.
ICIP
Mircea Dumitru, Li Wang, Nicolas Gac, Ali Mohammad-Djafari
2017 Misc conf
X-ray Computed Tomography simultaneous image reconstruction and contour detection using a hierarchical Markovian model.
ICASSP
Li Wang, Ali Mohammad-Djafari, Nicolas Gac
2017 J jnl
X-ray Computed Tomography using a Sparsity Enforcing Prior Model Based on Haar Transformation in a Bayesian Framework.
Fundam. Informaticae
Li Wang, Ali Mohammad-Djafari, Nicolas Gac
2016 Misc conf
Computed tomography reconstruction based on a hierarchical model and variational Bayesian method.
ICASSP
Li Wang, Ali Mohammad-Djafari, Nicolas Gac, Mircea Dumitru
2016 J jnl
Precise periodic components estimation for chronobiological signals through Bayesian Inference with sparsity enforcing prior.
EURASIP J. Bioinform. Syst. Biol.
Mircea Dumitru, Ali Mohammad-Djafari, Simona Baghai Sain
2016 J jnl
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR
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
2015 J jnl
Bayesian sparse solutions to linear inverse problems with non-stationary noise with Student-t priors.
Digit. Signal Process.
Ali Mohammad-Djafari, Mircea Dumitru
2015 J jnl
Entropy, Information Theory, Information Geometry and Bayesian Inference in Data, Signal and Image Processing and Inverse Problems.
Entropy
Ali Mohammad-Djafari
2015 — conf
Periodic components estimation in chronobiological time series via a Bayesian approach.
EUSIPCO
Mircea Dumitru, Ali Mohammad-Djafari
2015 — conf
Variational Bayesian Approximation Method for Classification and Clustering with a Mixture of Student-t Model.
GSI
Ali Mohammad-Djafari
2014 B conf
A gradient-like variational Bayesian approach: Application to microwave imaging for breast tumor detection.
ICIP
L. Gharsalli, Bernard Duchêne, Ali Mohammad-Djafari, Hacheme Ayasso
2014 C conf
Inverse problems in imaging science: from classical regularization methods to state of the art Bayesian methods.
IPAS
Ali Mohammad-Djafari
2013 J jnl
Algorithmes de reconnaissance NCTR et parallélisation sur GPU.
Traitement du Signal
Thomas Boulay, Nicolas Gac, Ali Mohammad-Djafari, Julien Lagoutte
2013 — conf
Bayesian inversion of multi-mode NEMS mass spectrometry signal.
EUSIPCO
R. Perenon, Eric Sage, Ali Mohammad-Djafari, Laurent Duraffourg, Sebastien Hentz, A. Brenac, Robert Morel, P. Grangeat
2013 — conf
High-Dimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model.
GSI
Thomas Boulay, Ali Mohammad-Djafari, Nicolas Gac, Julien Lagoutte
2013 — conf
Microwave tomography for breast cancer detection within a variational Bayesian approach.
EUSIPCO
L. Gharsalli, Bernard Duchêne, Ali Mohammad-Djafari, Hacheme Ayasso
2013 — conf
Variational Bayesian Approximation for Linear Inverse Problems with a Hierarchical Prior Models.
GSI
Ali Mohammad-Djafari
2012 B conf
A Bayesian Sparse Inference Approach in near-field wideband aeroacoustic imaging.
ICIP
Ning Chu, Ali Mohammad-Djafari, José Picheral
2012 — conf
A Fuzzy-Logic Based Non Cooperative Target Recognition.
SITIS
Thomas Boulay, Julien Lagoutte, Ali Mohammad-Djafari, Nicolas Gac
2012 B conf
A variational Bayesian approach for frequency diverse non-linear microwave imaging.
ICIP
Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari
2012 J jnl
Bayesian approach with prior models which enforce sparsity in signal and image processing.
EURASIP J. Adv. Signal Process.
Ali Mohammad-Djafari
2012 J jnl
Editorial.
EURASIP J. Adv. Signal Process.
Farokh Marvasti, Ali Mohammad-Djafari, Jonathon A. Chambers
2012 J jnl
Parameter estimation for SAR micromotion target based on sparse signal representation.
EURASIP J. Adv. Signal Process.
Sha Zhu, Ali Mohammad-Djafari, Hongqiang Wang, Bin Deng, Xiang Li, Junjie Mao
2011 B conf
A discrete-continuous Bayesian model for Emission Tomography.
ICIP
Mame Diarra Fall, Eric Barat, Claude Comtat, Thomas Dautremer, Thierry Montagu, Ali Mohammad-Djafari
2011 — conf
A robust super-resolution approach with sparsity constraint for near-field wideband acoustic imaging.
ISSPIT
Ning Chu, José Picheral, Ali Mohammad-Djafari
2011 B conf
Bayesian data fusion and inversion in X-ray multi-energy computed tomography.
ICIP
Caifang Cai, Ali Mohammad-Djafari, Samuel Legoupil, Thomas Rodet
2011 — conf
Bayesian estimation with Gauss-Markov-Potts priors in optical diffraction tomography.
Computational Imaging
Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari
2011 — conf
Inverse problems arising in different synthetic aperture radar imaging systems and a general Bayesian approach for them.
Computational Imaging
Sha Zhu, Ali Mohammad-Djafari, Xiang Li, Junjie Mao
2011 B conf
Nearest neighbors and correlation dimension for dimensionality estimation. Application to factor analysis of real biological time series data.
ESANN
Jérôme Lapuyade-Lahorgue, Ali Mohammad-Djafari
2010 — conf
Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference.
VISAPP (1)
Ali Mohammad-Djafari
2010 J jnl
Joint NDT Image Restoration and Segmentation Using Gauss-Markov-Potts Prior Models and Variational Bayesian Computation.
IEEE Trans. Image Process.
Hacheme Ayasso, Ali Mohammad-Djafari
2010 J jnl
Link between copula and tomography.
Pattern Recognit. Lett.
Doriano-Boris Pougaza, Ali Mohammad-Djafari, Jean-François Bercher
2009 B conf
Fusion and inversion of SAR data to obtain a superresolution image.
ICIP
Ali Mohammad-Djafari, Franck Daout, Philippe Fargette
2009 — conf
Image Super-Resolution using a Bayesian approach with a Gauss-Markov-Potts prior.
IPCV
Majdi Mansouri, Ali Mohammad-Djafari
2009 B conf
Joint image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation.
ICIP
Hacheme Ayasso, Ali Mohammad-Djafari
2009 J jnl
Super-Resolution: A Short Review, A New Method Based on Hidden Markov Modeling of HR Image and Future Challenges.
Comput. J.
Ali Mohammad-Djafari
2008 J jnl
Bayesian Approach With Hidden Markov Modeling and Mean Field Approximation for Hyperspectral Data Analysis.
IEEE Trans. Image Process.
Nadia Bali, Ali Mohammad-Djafari
2008 — conf
Variational Bayes with Gauss-Markov-Potts Prior Models for Joint Image Restoration and Segmentation.
VISAPP (1)
Hacheme Ayasso, Ali Mohammad-Djafari
2007 — conf
A Variational Bayesian Algorithm for BSS Problem with Hidden Gauss-Markov Models for the Sources.
ICA
Nadia Bali, Ali Mohammad-Djafari
2007 — conf
Bayesian separation of document images with hidden markov model.
VISAPP (Special Sessions)
Feng Su, Ali Mohammad-Djafari
2007 J jnl
Estimation of Structured Gaussian Mixtures: The Inverse EM Algorithm.
IEEE Trans. Signal Process.
Hichem Snoussi, Ali Mohammad-Djafari
2006 J jnl
Bayesian approach to change points detection in time series.
Int. J. Imaging Syst. Technol.
Ali Mohammad-Djafari, Olivier Féron
2006 J jnl
Bayesian inference for inverse problems in signal and image processing and applications.
Int. J. Imaging Syst. Technol.
Ali Mohammad-Djafari
2006 B conf
Bayesian source separation: beyond PCA and ICA.
ESANN
Ali Mohammad-Djafari
2006 J jnl
Hidden Markov Models for Wavelet-Based Blind Source Separation.
IEEE Trans. Image Process.
M. M. Ichir, Ali Mohammad-Djafari
2006 — conf
Hierarchical Markovian Models for Hyperspectral Image Segmentation.
IWICPAS
Ali Mohammad-Djafari, Nadia Bali, Adel Mohammadpour
2006 — conf
Hierarchical Markovian models for 3D Computed Tomography in non destructive testing applications.
EUSIPCO
Ali Mohammad-Djafari, Lionel Robillard
2006 B conf
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images.
ESANN
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpour
2006 J jnl
Inference with the Median of a Prior.
Entropy
Adel Mohammadpour, Ali Mohammad-Djafari
2006 B conf
Joint Dimensionality Reduction, Classification and Segmentation of Hyperspectral Images.
ICIP
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpour
2006 — conf
On Neyman-Pearson Lemma for Crisp, Random and Fuzzy Hypotheses.
SMPS
Adel Mohammadpour, Ali Mohammad-Djafari
2006 J jnl
Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling.
IEEE Trans. Signal Process.
Saïd Moussaoui, David Brie, Ali Mohammad-Djafari, Cédric Carteret
2006 J jnl
Super-Resolution Using Hidden Markov Model and Bayesian Detection Estimation Framework.
EURASIP J. Adv. Signal Process.
Fabrice Humblot, Ali Mohammad-Djafari
2005 — conf
A mean field approximation approach to blind source separation with Lp priors.
EUSIPCO
Mahieddine Ichir, Ali Mohammad-Djafari
2005 — conf
Hidden Markov models for wavelet image separation and denoising.
ICASSP (5)
M. M. Ichir, Ali Mohammad-Djafari
2005 J jnl
Image fusion and unsupervised joint segmentation using a HMM and MCMC algorithms.
J. Electronic Imaging
Olivier Féron, Ali Mohammad-Djafari
2005 J jnl
Unsupervised Bayesian wavelet domain segmentation using Potts-Markov random field modeling.
J. Electronic Imaging
Patrice Brault, Ali Mohammad-Djafari
2004 — conf
A Bayesian method for positive source separation.
ICASSP (5)
Saïd Moussaoui, David Brie, Olivier Caspary, Ali Mohammad-Djafari
2004 J jnl
Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior.
J. VLSI Signal Process.
Hichem Snoussi, Ali Mohammad-Djafari
2004 J jnl
Fast joint separation and segmentation of mixed images.
J. Electronic Imaging
Hichem Snoussi, Ali Mohammad-Djafari
2004 J jnl
Polygonal and polyhedral contour reconstruction in computed tomography.
IEEE Trans. Image Process.
Charles Soussen, Ali Mohammad-Djafari
2002 — conf
Fusion of X ray radiographic data and anatomical data in computed tomography.
ICIP (2)
Ali Mohammad-Djafari
2002 — conf
Hierarchical Markov modeling for fusion of X ray radiographic data and anatomical data in computed tomography.
ISBI
Ali Mohammad-Djafari
2002 — conf
MCMC joint separation and segmentation of hidden Markov fields.
NNSP
Hichem Snoussi, Ali Mohammad-Djafari
2001 — conf
Closed surface reconstruction in X-ray tomography.
ICIP (1)
Ali Mohammad-Djafari, Charles Soussen
2000 J jnl
Guest Editorial: Special Section on Mathematical Modeling, Statistical Estimation, and Inverse Problems.
J. Electronic Imaging
Ali Mohammad-Djafari
1998 J jnl
Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF.
IEEE Trans. Image Process.
Mila Nikolova, Jérôme Idier, Ali Mohammad-Djafari
1997 Misc conf
A single site update algorithm for nonlinear diffraction tomography.
ICASSP
Hervé Carfantan, Ali Mohammad-Djafari, Jérôme Idier
1997 Misc conf
Array processing techniques and shape reconstruction in tomography.
ICASSP
Ali Mohammad-Djafari, Yassine Khayi
1997 — conf
Reconstruction of the Shape of a Compact Object from Few Projections.
ICIP (1)
Ali Mohammad-Djafari, Yassine Khayi, Ken D. Sauer, Eric Cano
1996 J jnl
Eddy current tomography using a binary Markov model.
Signal Process.
Mila Nikolova, Ali Mohammad-Djafari
1996 — conf
Joint estimation of parameters and hyperparameters in a Bayesian approach of solving inverse problems.
ICIP (2)
Ali Mohammad-Djafari
1995 Misc conf
A Bayesian approach for nonlinear inverse scattering tomographic imaging.
ICASSP
Hervé Carfantan, Ali Mohammad-Djafari
1994 J jnl
Bayesian approach with the maximum entropy principle in image reconstruction from microwave scattered field data.
IEEE Trans. Medical Imaging
Maï Khuong Nguyen, Ali Mohammad-Djafari
1994 — conf
Inversion of large-support ill-conditioned linear operators using a Markov model with a line process.
ICASSP (5)
Mila Nikolova, Ali Mohammad-Djafari, Jérôme Idier
1993 — conf
On the estimation of hyperparameters in Bayesian approach of solving inverse problems.
ICASSP (5)
Ali Mohammad-Djafari
1990 Misc conf
Estimating priors in maximum entropy image processing.
ICASSP
Ali Mohammad-Djafari, Guy Demoment
1986 Misc conf
Maximum entropy diffraction tomography.
ICASSP
Ali Mohammad-Djafari, Guy Demoment
1984 Misc conf
Iterative generalized inverse image restoration.
ICASSP
Didier Saint-Félix, Ali Mohammad-Djafari, Guy Demoment