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Ali Mohammad-Djafari
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2020 – today
- 2024
- [j37]Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
:
Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms. Entropy 26(8): 707 (2024) - [j36]Keyu Hu
A Separation-Based Localization Method Between Rotating and Static Sources. IEEE Signal Process. Lett. 31: 1359-1363 (2024) - [i3]Ali Mohammad-Djafari, Ning Chu, Li Wang, Caifang Cai, Liang Yu:
Model Based and Physics Informed Deep Learning Neural Network Structures. CoRR abs/2408.07104 (2024) - 2023
- [j35]Ning Chu
High-Resolution Fast-Rotating Sound Localization Based on Modal Composition Beamforming and Bayesian Inversion. IEEE Signal Process. Lett. 30: 349-353 (2023) - [j34]Liang Yu
3D Non-Synchronous Measurements With Central Reference Based on Revolution and Autorotation of Spherical Microphone Array. IEEE Signal Process. Lett. 30: 518-522 (2023) - [i2]Ali Mohammad-Djafari, Ning Chu, Li Wang, Liang Yu:
Deep Learning and Inverse Problems. CoRR abs/2309.00802 (2023) - 2021
- [j33]Ali Mohammad-Djafari
Regularization, Bayesian Inference, and Machine Learning Methods for Inverse Problems. Entropy 23(12): 1673 (2021)
2010 – 2019
- 2019
- [j32]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): 1222 (2019) - [j31]Camille Chapdelaine
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): 317-332 (2019) - [c55]Ning Chu, Yaochun Hou
A Variational Bayesian Inference with Small Dataset for High-Precision Infrared Thermal Imaging. ICSAI 2019: 1190-1195 - 2018
- [j30]Li Wang
Bayesian 3D X-ray Computed Tomography with a Hierarchical Prior Model for Sparsity in Haar Transform Domain. Entropy 20(12): 977 (2018) - [c54]Ali Mohammad-Djafari
Bayesian Inference with Error Variable Splitting and Sparsity Enforcing Priors for Linear Inverse Problems. EUSIPCO 2018: 440-444 - [c53]Thanh Bui, Beate Orberger, Simon B. Blancher, Ali Mohammad-Djafari
Building a Hyperspectral Library and its Incorporation into Sparse Unmixing for Mineral Identification. IGARSS 2018: 4261-4264 - 2017
- [j29]Camille Chapdelaine, Ali Mohammad-Djafari
A 3D Bayesian Computed Tomography Reconstruction Algorithm with Gauss-Markov-Potts Prior Model and its Application to Real Data. Fundam. Informaticae 155(4): 373-405 (2017) - [j28]Li Wang, Ali Mohammad-Djafari
X-ray Computed Tomography using a Sparsity Enforcing Prior Model Based on Haar Transformation in a Bayesian Framework. Fundam. Informaticae 155(4): 449-480 (2017) - [c52]Ali Mohammad-Djafari
Direct nonparametric estimation of the period and the shape of a periodic component in short duration signals. EUSIPCO 2017: 449-453 - [c51]Li Wang, Ali Mohammad-Djafari
Bayesian method with sparsity enforcing prior of dual-tree complex wavelet transform coefficients for X-ray CT image reconstruction. EUSIPCO 2017: 478-482 - [c50]Li Wang, Ali Mohammad-Djafari
X-ray Computed Tomography simultaneous image reconstruction and contour detection using a hierarchical Markovian model. ICASSP 2017: 6070-6074 - [c49]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: 3580-3584 - 2016
- [j27]Mircea Dumitru, Ali Mohammad-Djafari
Precise periodic components estimation for chronobiological signals through Bayesian Inference with sparsity enforcing prior. EURASIP J. Bioinform. Syst. Biol. 2016: 3 (2016) - [c48]Li Wang, Ali Mohammad-Djafari
Computed tomography reconstruction based on a hierarchical model and variational Bayesian method. ICASSP 2016: 883-887 - [i1]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 abs/1609.04167 (2016) - 2015
- [j26]Ali Mohammad-Djafari
Bayesian sparse solutions to linear inverse problems with non-stationary noise with Student-t priors. Digit. Signal Process. 47: 128-156 (2015) - [j25]Ali Mohammad-Djafari
Entropy, Information Theory, Information Geometry and Bayesian Inference in Data, Signal and Image Processing and Inverse Problems. Entropy 17(6): 3989-4027 (2015) - [c47]Mircea Dumitru, Ali Mohammad-Djafari
Periodic components estimation in chronobiological time series via a Bayesian approach. EUSIPCO 2015: 2246-2250 - [c46]Ali Mohammad-Djafari
Variational Bayesian Approximation Method for Classification and Clustering with a Mixture of Student-t Model. GSI 2015: 723-731 - 2014
- [c45]L. Gharsalli, Bernard Duchêne, Ali Mohammad-Djafari
A gradient-like variational Bayesian approach: Application to microwave imaging for breast tumor detection. ICIP 2014: 1708-1712 - [c44]Ali Mohammad-Djafari
Inverse problems in imaging science: from classical regularization methods to state of the art Bayesian methods. IPAS 2014: 1-2 - 2013
- [j24]Thomas Boulay, Nicolas Gac, Ali Mohammad-Djafari
Algorithmes de reconnaissance NCTR et parallélisation sur GPU. Traitement du Signal 30(6): 309-342 (2013) - [c43]L. Gharsalli, Bernard Duchêne, Ali Mohammad-Djafari, Hacheme Ayasso:
Microwave tomography for breast cancer detection within a variational Bayesian approach. EUSIPCO 2013: 1-5 - [c42]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: 1-5 - [c41]Ali Mohammad-Djafari
Variational Bayesian Approximation for Linear Inverse Problems with a Hierarchical Prior Models. GSI 2013: 669-676 - [c40]Thomas Boulay, Ali Mohammad-Djafari
High-Dimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model. GSI 2013: 829-836 - 2012
- [j23]Sha Zhu
Parameter estimation for SAR micromotion target based on sparse signal representation. EURASIP J. Adv. Signal Process. 2012: 13 (2012) - [j22]Ali Mohammad-Djafari
Bayesian approach with prior models which enforce sparsity in signal and image processing. EURASIP J. Adv. Signal Process. 2012: 52 (2012) - [j21]Farokh Marvasti, Ali Mohammad-Djafari
Editorial. EURASIP J. Adv. Signal Process. 2012: 90 (2012) - [c39]Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari
A variational Bayesian approach for frequency diverse non-linear microwave imaging. ICIP 2012: 2069-2072 - [c38]Ning Chu, Ali Mohammad-Djafari
A Bayesian Sparse Inference Approach in near-field wideband aeroacoustic imaging. ICIP 2012: 2529-2532 - [c37]Thomas Boulay, Julien Lagoutte, Ali Mohammad-Djafari
A Fuzzy-Logic Based Non Cooperative Target Recognition. SITIS 2012: 410-415 - 2011
- [c36]Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari
Bayesian estimation with Gauss-Markov-Potts priors in optical diffraction tomography. Computational Imaging 2011: 78730U - [c35]Sha Zhu, Ali Mohammad-Djafari
Inverse problems arising in different synthetic aperture radar imaging systems and a general Bayesian approach for them. Computational Imaging 2011: 787306 - [c34]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 - [c33]Mame Diarra Fall, Eric Barat, Claude Comtat, Thomas Dautremer, Thierry Montagu, Ali Mohammad-Djafari
A discrete-continuous Bayesian model for Emission Tomography. ICIP 2011: 1373-1376 - [c32]Caifang Cai, Ali Mohammad-Djafari
Bayesian data fusion and inversion in X-ray multi-energy computed tomography. ICIP 2011: 1377-1380 - [c31]Ning Chu, José Picheral
A robust super-resolution approach with sparsity constraint for near-field wideband acoustic imaging. ISSPIT 2011: 310-315 - 2010
- [j20]Doriano-Boris Pougaza, Ali Mohammad-Djafari
Link between copula and tomography. Pattern Recognit. Lett. 31(14): 2258-2264 (2010) - [j19]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): 2265-2277 (2010) - [c30]Ali Mohammad-Djafari:
Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference. VISAPP (1) 2010: 5-7
2000 – 2009
- 2009
- [j18]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): 126-141 (2009) - [c29]Ali Mohammad-Djafari
Fusion and inversion of SAR data to obtain a superresolution image. ICIP 2009: 569-572 - [c28]Hacheme Ayasso, Ali Mohammad-Djafari
Joint image restoration and segmentation using Gauss-Markov-Potts prior models and variational Bayesian computation. ICIP 2009: 1297-1300 - [c27]Majdi Mansouri, Ali Mohammad-Djafari:
Image Super-Resolution using a Bayesian approach with a Gauss-Markov-Potts prior. IPCV 2009: 814-818 - 2008
- [j17]Nadia Bali
Bayesian Approach With Hidden Markov Modeling and Mean Field Approximation for Hyperspectral Data Analysis. IEEE Trans. Image Process. 17(2): 217-225 (2008) - [c26]Hacheme Ayasso, Ali Mohammad-Djafari:
Variational Bayes with Gauss-Markov-Potts Prior Models for Joint Image Restoration and Segmentation. VISAPP (1) 2008: 571-576 - 2007
- [j16]Hichem Snoussi, Ali Mohammad-Djafari
Estimation of Structured Gaussian Mixtures: The Inverse EM Algorithm. IEEE Trans. Signal Process. 55(7-1): 3185-3191 (2007) - [c25]Nadia Bali, Ali Mohammad-Djafari
A Variational Bayesian Algorithm for BSS Problem with Hidden Gauss-Markov Models for the Sources. ICA 2007: 137-144 - [c24]Feng Su, Ali Mohammad-Djafari:
Bayesian separation of document images with hidden markov model. VISAPP (Special Sessions) 2007: 151-156 - 2006
- [j15]Fabrice Humblot, Ali Mohammad-Djafari
Super-Resolution Using Hidden Markov Model and Bayesian Detection Estimation Framework. EURASIP J. Adv. Signal Process. 2006 (2006) - [j14]Adel Mohammadpour
Inference with the Median of a Prior. Entropy 8(2): 67-87 (2006) - [j13]Ali Mohammad-Djafari
Bayesian inference for inverse problems in signal and image processing and applications. Int. J. Imaging Syst. Technol. 16(5): 209-214 (2006) - [j12]Ali Mohammad-Djafari
Bayesian approach to change points detection in time series. Int. J. Imaging Syst. Technol. 16(5): 215-221 (2006) - [j11]M. M. Ichir, Ali Mohammad-Djafari
Hidden Markov Models for Wavelet-Based Blind Source Separation. IEEE Trans. Image Process. 15(7): 1887-1899 (2006) - [j10]Saïd Moussaoui, David Brie, Ali Mohammad-Djafari
Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling. IEEE Trans. Signal Process. 54(11): 4133-4145 (2006) - [c23]Ali Mohammad-Djafari:
Bayesian source separation: beyond PCA and ICA. ESANN 2006: 313-322 - [c22]Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpour:
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images. ESANN 2006: 359-364 - [c21]Ali Mohammad-Djafari, Lionel Robillard:
Hierarchical Markovian models for 3D Computed Tomography in non destructive testing applications. EUSIPCO 2006: 1-5 - [c20]Nadia Bali
Joint Dimensionality Reduction, Classification and Segmentation of Hyperspectral Images. ICIP 2006: 969-972 - [c19]Ali Mohammad-Djafari
Hierarchical Markovian Models for Hyperspectral Image Segmentation. IWICPAS 2006: 416-424 - [c18]Adel Mohammadpour, Ali Mohammad-Djafari
On Neyman-Pearson Lemma for Crisp, Random and Fuzzy Hypotheses. SMPS 2006: 61-69 - 2005
- [j9]Olivier Féron, Ali Mohammad-Djafari
Image fusion and unsupervised joint segmentation using a HMM and MCMC algorithms. J. Electronic Imaging 14(2): 023014 (2005) - [j8]Patrice Brault, Ali Mohammad-Djafari
Unsupervised Bayesian wavelet domain segmentation using Potts-Markov random field modeling. J. Electronic Imaging 14(4): 043011 (2005) - [c17]Mahieddine Ichir, Ali Mohammad-Djafari:
A mean field approximation approach to blind source separation with Lp priors. EUSIPCO 2005: 1-4 - [c16]M. M. Ichir, Ali Mohammad-Djafari
Hidden Markov models for wavelet image separation and denoising. ICASSP (5) 2005: 225-228 - 2004
- [j7]Hichem Snoussi, Ali Mohammad-Djafari
Fast joint separation and segmentation of mixed images. J. Electronic Imaging 13(2): 349-361 (2004) - [j6]Charles Soussen
Polygonal and polyhedral contour reconstruction in computed tomography. IEEE Trans. Image Process. 13(11): 1507-1523 (2004) - [j5]Hichem Snoussi, Ali Mohammad-Djafari
Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior. J. VLSI Signal Process. 37(2-3): 263-279 (2004) - [c15]Saïd Moussaoui, David Brie, Olivier Caspary, Ali Mohammad-Djafari:
A Bayesian method for positive source separation. ICASSP (5) 2004: 485-488 - 2002
- [c14]Ali Mohammad-Djafari:
Fusion of X ray radiographic data and anatomical data in computed tomography. ICIP (2) 2002: 461-464 - [c13]Ali Mohammad-Djafari
Hierarchical Markov modeling for fusion of X ray radiographic data and anatomical data in computed tomography. ISBI 2002: 401-404 - [c12]Hichem Snoussi, Ali Mohammad-Djafari
MCMC joint separation and segmentation of hidden Markov fields. NNSP 2002: 485-494 - 2001
- [c11]Ali Mohammad-Djafari, Charles Soussen:
Closed surface reconstruction in X-ray tomography. ICIP (1) 2001: 718-721 - 2000
- [j4]Ali Mohammad-Djafari:
Guest Editorial: Special Section on Mathematical Modeling, Statistical Estimation, and Inverse Problems. J. Electronic Imaging 9(3): 241 (2000)
1990 – 1999
- 1998
- [j3]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): 571-585 (1998) - 1997
- [c10]Hervé Carfantan, Ali Mohammad-Djafari, Jérôme Idier:
A single site update algorithm for nonlinear diffraction tomography. ICASSP 1997: 2837-2840 - [c9]Ali Mohammad-Djafari, Yassine Khayi:
Array processing techniques and shape reconstruction in tomography. ICASSP 1997: 3785-3788 - [c8]Ali Mohammad-Djafari, Yassine Khayi, Ken D. Sauer, Eric Cano:
Reconstruction of the Shape of a Compact Object from Few Projections. ICIP (1) 1997: 165-168 - 1996
- [j2]Mila Nikolova, Ali Mohammad-Djafari
Eddy current tomography using a binary Markov model. Signal Process. 49(2): 119-132 (1996) - [c7]Ali Mohammad-Djafari:
Joint estimation of parameters and hyperparameters in a Bayesian approach of solving inverse problems. ICIP (2) 1996: 473-476 - 1995
- [c6]Hervé Carfantan, Ali Mohammad-Djafari:
A Bayesian approach for nonlinear inverse scattering tomographic imaging. ICASSP 1995: 2311-2314 - 1994
- [j1]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): 254-262 (1994) - [c5]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: 357-360 - 1993
- [c4]Ali Mohammad-Djafari:
On the estimation of hyperparameters in Bayesian approach of solving inverse problems. ICASSP (5) 1993: 495-498 - 1990
- [c3]Ali Mohammad-Djafari, Guy Demoment:
Estimating priors in maximum entropy image processing. ICASSP 1990: 2069-2072
1980 – 1989
- 1986
- [c2]Ali Mohammad-Djafari, Guy Demoment:
Maximum entropy diffraction tomography. ICASSP 1986: 1749-1752 - 1984
- [c1]Didier Saint-Félix, Ali Mohammad-Djafari, Guy Demoment:
Iterative generalized inverse image restoration. ICASSP 1984: 104-107
Coauthor Index
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last updated on 2024-11-27 21:19 CET by the dblp team
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