Ali Mohammad-Djafari

Orcid: 0000-0003-0678-7759

According to our database1, Ali Mohammad-Djafari authored at least 95 papers between 1984 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms.
Entropy, August, 2024

A Separation-Based Localization Method Between Rotating and Static Sources.
IEEE Signal Process. Lett., 2024

Model Based and Physics Informed Deep Learning Neural Network Structures.
CoRR, 2024

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

Deep Learning and Inverse Problems.
CoRR, 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
Algorithmes de reconnaissance NCTR et parallélisation sur GPU.
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

Bayesian inversion of multi-mode NEMS mass spectrometry signal.
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

Editorial.
EURASIP J. Adv. Signal Process., 2012

A Fuzzy-Logic Based Non Cooperative Target Recognition.
Proceedings of the Eighth International Conference on Signal Image Technology and Internet Based Systems, 2012

A Bayesian Sparse Inference Approach in near-field wideband aeroacoustic imaging.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

A variational Bayesian approach for frequency diverse non-linear microwave imaging.
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

A discrete-continuous Bayesian model for Emission Tomography.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Bayesian data fusion and inversion in X-ray multi-energy computed tomography.
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

Link between copula and tomography.
Pattern Recognit. Lett., 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

Fusion and inversion of SAR data to obtain a superresolution image.
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
Estimation of Structured Gaussian Mixtures: The Inverse EM Algorithm.
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

Hidden Markov Models for Wavelet-Based Blind Source Separation.
IEEE Trans. Image Process., 2006

Bayesian approach to change points detection in time series.
Int. J. Imaging Syst. Technol., 2006

Bayesian inference for inverse problems in signal and image processing and applications.
Int. J. Imaging Syst. Technol., 2006

Inference with the Median of a Prior.
Entropy, 2006

Super-Resolution Using Hidden Markov Model and Bayesian Detection Estimation Framework.
EURASIP J. Adv. Signal Process., 2006

On Neyman-Pearson Lemma for Crisp, Random and Fuzzy Hypotheses.
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006

Hierarchical Markovian Models for Hyperspectral Image Segmentation.
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

Bayesian source separation: beyond PCA and ICA.
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
Image fusion and unsupervised joint segmentation using a HMM and MCMC algorithms.
J. Electronic Imaging, 2005

Unsupervised Bayesian wavelet domain segmentation using Potts-Markov random field modeling.
J. Electronic Imaging, 2005

Hidden Markov models for wavelet image separation and denoising.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A mean field approximation approach to blind source separation with Lp priors.
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

Polygonal and polyhedral contour reconstruction in computed tomography.
IEEE Trans. Image Process., 2004

Fast joint separation and segmentation of mixed images.
J. Electronic Imaging, 2004

A Bayesian method for positive source separation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2002
MCMC joint separation and segmentation of hidden Markov fields.
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

Fusion of X ray radiographic data and anatomical data in computed tomography.
Proceedings of the 2002 International Conference on Image Processing, 2002

2001
Closed surface reconstruction in X-ray tomography.
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
Reconstruction of the Shape of a Compact Object from Few Projections.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Array processing techniques and shape reconstruction in tomography.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

A single site update algorithm for nonlinear diffraction tomography.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Eddy current tomography using a binary Markov model.
Signal Process., 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
A Bayesian approach for nonlinear inverse scattering tomographic imaging.
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
Estimating priors in maximum entropy image processing.
Proceedings of the 1990 International Conference on Acoustics, 1990

1986
Maximum entropy diffraction tomography.
Proceedings of the IEEE International Conference on Acoustics, 1986

1984
Iterative generalized inverse image restoration.
Proceedings of the IEEE International Conference on Acoustics, 1984


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