Ali Mohammad-Djafari
Orcid: 0000-0003-0678-7759
According to our database1,
Ali Mohammad-Djafari
authored at least 92 papers
between 1984 and 2023.
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Bibliography
2023
3D Non-Synchronous Measurements With Central Reference Based on Revolution and Autorotation of Spherical Microphone Array.
IEEE Signal Process. Lett., 2023
High-Resolution Fast-Rotating Sound Localization Based on Modal Composition Beamforming and Bayesian Inversion.
IEEE Signal Process. Lett., 2023
2021
Regularization, Bayesian Inference, and Machine Learning Methods for Inverse Problems.
Entropy, 2021
2019
Error-Splitting Forward Model for Iterative Reconstruction in X-Ray Computed Tomography and Application With Gauss-Markov-Potts Prior.
IEEE Trans. Computational Imaging, 2019
Deep Learning and Artificial Intelligence for the Determination of the Cervical Vertebra Maturation Degree from Lateral Radiography.
Entropy, 2019
A Variational Bayesian Inference with Small Dataset for High-Precision Infrared Thermal Imaging.
Proceedings of the 6th International Conference on Systems and Informatics, 2019
2018
Bayesian 3D X-ray Computed Tomography with a Hierarchical Prior Model for Sparsity in Haar Transform Domain.
Entropy, 2018
Building a Hyperspectral Library and its Incorporation into Sparse Unmixing for Mineral Identification.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Bayesian Inference with Error Variable Splitting and Sparsity Enforcing Priors for Linear Inverse Problems.
Proceedings of the 26th European Signal Processing Conference, 2018
2017
X-ray Computed Tomography using a Sparsity Enforcing Prior Model Based on Haar Transformation in a Bayesian Framework.
Fundam. Informaticae, 2017
A 3D Bayesian Computed Tomography Reconstruction Algorithm with Gauss-Markov-Potts Prior Model and its Application to Real Data.
Fundam. Informaticae, 2017
Performance comparison of Bayesian iterative algorithms for three classes of sparsity enforcing priors with application in computed tomography.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
X-ray Computed Tomography simultaneous image reconstruction and contour detection using a hierarchical Markovian model.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Bayesian method with sparsity enforcing prior of dual-tree complex wavelet transform coefficients for X-ray CT image reconstruction.
Proceedings of the 25th European Signal Processing Conference, 2017
Direct nonparametric estimation of the period and the shape of a periodic component in short duration signals.
Proceedings of the 25th European Signal Processing Conference, 2017
2016
Precise periodic components estimation for chronobiological signals through Bayesian Inference with sparsity enforcing prior.
EURASIP J. Bioinform. Syst. Biol., 2016
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR, 2016
Computed tomography reconstruction based on a hierarchical model and variational Bayesian method.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Entropy, Information Theory, Information Geometry and Bayesian Inference in Data, Signal and Image Processing and Inverse Problems.
Entropy, 2015
Bayesian sparse solutions to linear inverse problems with non-stationary noise with Student-t priors.
Digit. Signal Process., 2015
Variational Bayesian Approximation Method for Classification and Clustering with a Mixture of Student-t Model.
Proceedings of the Geometric Science of Information - Second International Conference, 2015
Periodic components estimation in chronobiological time series via a Bayesian approach.
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
Inverse problems in imaging science: from classical regularization methods to state of the art Bayesian methods.
Proceedings of the International Image Processing, 2014
A gradient-like variational Bayesian approach: Application to microwave imaging for breast tumor detection.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Traitement du Signal, 2013
Variational Bayesian Approximation for Linear Inverse Problems with a Hierarchical Prior Models.
Proceedings of the Geometric Science of Information - First International Conference, 2013
High-Dimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model.
Proceedings of the Geometric Science of Information - First International Conference, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
Microwave tomography for breast cancer detection within a variational Bayesian approach.
Proceedings of the 21st European Signal Processing Conference, 2013
2012
Parameter estimation for SAR micromotion target based on sparse signal representation.
EURASIP J. Adv. Signal Process., 2012
Bayesian approach with prior models which enforce sparsity in signal and image processing.
EURASIP J. Adv. Signal Process., 2012
Proceedings of the Eighth International Conference on Signal Image Technology and Internet Based Systems, 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
2011
A robust super-resolution approach with sparsity constraint for near-field wideband acoustic imaging.
Proceedings of the 2011 IEEE International Symposium on Signal Processing and Information Technology, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Nearest neighbors and correlation dimension for dimensionality estimation. Application to factor analysis of real biological time series data.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Inverse problems arising in different synthetic aperture radar imaging systems and a general Bayesian approach for them.
Proceedings of the Computational Imaging IX, 2011
Bayesian estimation with Gauss-Markov-Potts priors in optical diffraction tomography.
Proceedings of the Computational Imaging IX, 2011
2010
Joint NDT Image Restoration and Segmentation Using Gauss-Markov-Potts Prior Models and Variational Bayesian Computation.
IEEE Trans. Image Process., 2010
Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference.
Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010
2009
Super-Resolution: A Short Review, A New Method Based on Hidden Markov Modeling of HR Image and Future Challenges.
Comput. J., 2009
Image Super-Resolution using a Bayesian approach with a Gauss-Markov-Potts prior.
Proceedings of the 2009 International Conference on Image Processing, 2009
Proceedings of the International Conference on Image Processing, 2009
Joint image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation.
Proceedings of the International Conference on Image Processing, 2009
2008
Bayesian Approach With Hidden Markov Modeling and Mean Field Approximation for Hyperspectral Data Analysis.
IEEE Trans. Image Process., 2008
Variational Bayes with Gauss-Markov-Potts Prior Models for Joint Image Restoration and Segmentation.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008
2007
IEEE Trans. Signal Process., 2007
Bayesian separation of document images with hidden markov model.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007
A Variational Bayesian Algorithm for BSS Problem with Hidden Gauss-Markov Models for the Sources.
Proceedings of the Independent Component Analysis and Signal Separation, 2007
2006
Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling.
IEEE Trans. Signal Process., 2006
IEEE Trans. Image Process., 2006
Int. J. Imaging Syst. Technol., 2006
Bayesian inference for inverse problems in signal and image processing and applications.
Int. J. Imaging Syst. Technol., 2006
Super-Resolution Using Hidden Markov Model and Bayesian Detection Estimation Framework.
EURASIP J. Adv. Signal Process., 2006
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006
Proceedings of the Advances in Machine Vision, 2006
Joint Dimensionality Reduction, Classification and Segmentation of Hyperspectral Images.
Proceedings of the International Conference on Image Processing, 2006
Hierarchical Markovian models for 3D Computed Tomography in non destructive testing applications.
Proceedings of the 14th European Signal Processing Conference, 2006
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
2005
J. Electronic Imaging, 2005
Unsupervised Bayesian wavelet domain segmentation using Potts-Markov random field modeling.
J. Electronic Imaging, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
2004
Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior.
J. VLSI Signal Process., 2004
IEEE Trans. Image Process., 2004
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2002
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002
Hierarchical Markov modeling for fusion of X ray radiographic data and anatomical data in computed tomography.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
Proceedings of the 2002 International Conference on Image Processing, 2002
2001
Proceedings of the 2001 International Conference on Image Processing, 2001
2000
Guest Editorial: Special Section on Mathematical Modeling, Statistical Estimation, and Inverse Problems.
J. Electronic Imaging, 2000
1998
Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF.
IEEE Trans. Image Process., 1998
1997
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
1996
Joint estimation of parameters and hyperparameters in a Bayesian approach of solving inverse problems.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996
1995
Proceedings of the 1995 International Conference on Acoustics, 1995
1994
Bayesian approach with the maximum entropy principle in image reconstruction from microwave scattered field data.
IEEE Trans. Medical Imaging, 1994
Inversion of large-support ill-conditioned linear operators using a Markov model with a line process.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994
1993
On the estimation of hyperparameters in Bayesian approach of solving inverse problems.
Proceedings of the IEEE International Conference on Acoustics, 1993
1990
Proceedings of the 1990 International Conference on Acoustics, 1990
1986
Proceedings of the IEEE International Conference on Acoustics, 1986
1984
Proceedings of the IEEE International Conference on Acoustics, 1984