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authIdHal_s : alimohammad-djafari

Closed surface reconstruction in X-ray tomography

Charles Soussen , Mohammad-Djafari Ali
2001 International Conference on Image Processing, Oct 2001, Thessaloniki, Greece. pp.718-721, ⟨10.1109/ICIP.2001.959146⟩
Conference papers hal-03093342v1

Building a Hyperspectral Library and its Incorporation into Sparse Unmixing for Mineral Identification

Thanh Bui , Beate Orberger , Simon Blancher , Ali Mohammad-Djafari , Henry Pilliere , et al.
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valencia, France. pp.4261-4264, ⟨10.1109/IGARSS.2018.8519131⟩
Conference papers hal-02734395v1

Joint Super-Resolution and segmentation from a set of Low Resolution images using a Bayesian approach with a Gauss-Markov-Potts Prior

Majdi Mansouri , Ali Mohammad-Djafari
International Journal of Signal and Imaging Systems Engineering, 2010, 3 (4), pp.211-221. ⟨10.1504/IJSISE.2010.038017⟩
Journal articles hal-00658306v1

Approche bayésienne de l'inversion en imagerie micro-onde 3D

H Ayasso , Bernard Duchêne , Ali Mohammad-Djafari
Les Journées d'Imagerie Optique Non-Conventionnelle, 2010, Paris, France
Conference papers hal-00551753v1
Image document

Link between copula and tomography

Doriano-Boris Pougaza , Ali Mohammad-Djafari , Jean-François Bercher
Pattern Recognition Letters, 2010, 31 (14), pp.2258-2264. ⟨10.1016/j.patrec.2010.05.001⟩
Journal articles hal-00509705v1

Bayesian source separation with mixture of Gaussians prior for sources and Gaussian prior for mixture coefficients

Hichem Snoussi , Ali Mohammad-Djafari
2001, pp.388-406
Conference papers hal-00119183v1

Joint Image Restoration and Segmentation using Gauss-Markov-Potts Prior Models and Variational Bayesian Computation: Technical Details

H Ayasso , Ali Mohammad-Djafari
Preprints, Working Papers, ... hal-00444326v1

Variational Bayes Approach For Tomographic Reconstruction

H Ayasso , Sofia Fekih-Salem , Ali Mohammad-Djafari
the 28th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt, Jul 2008, Sao Paulo, Brazil. pp.243--251, ⟨10.1063/1.3039006⟩
Conference papers hal-00446713v1

Approche variationnelle pour le calcul bayésien dans les problèmes inverses en imagerie

Ali Mohammad-Djafari
Preprints, Working Papers, ... hal-00447131v1

Image separation

Ali Mohammad-Djafari , Hichem Snoussi
Ali Mohammad-Djafari. Inverse Problems in Vision and 3D Tomography, ISTE, Wiley, pp.377-410, 2009
Book sections hal-00449797v1

Super-Resolution : A short review, a new method based on hidden Markov modeling of HR image and future challenges

Ali Mohammad-Djafari
The Computer Journal, 2008, pp.10.1093/comjnl/bxn005. ⟨10.1093/comjnl/bxn005:⟩
Journal articles hal-00449830v1

Inverse Problems in Imaging Systems and General Bayesian Inversion Framework

Ali Mohammad-Djafari
J. Of Electrical Engineering Association in Iran, 2007, 2, pp.3-21
Journal articles hal-00449833v1

Estimation of Structured Gaussian Mixtures: The Inverse EM Algorithm

Hichem Snoussi , Ali Mohammad-Djafari
IEEE Transactions on Signal Processing, 2007, 55 (7), pp.3185-3191. ⟨10.1109/TSP.2007.893923⟩
Journal articles hal-02316175v1

TomoBayes - logiciel de reconstruction en tomographie CT

Camille Chapdelaine , Nicolas Gac , Thomas Boulay , Ali Mohammad-Djafari , Estelle Parra-Denis , et al.
Software hal-01771489v1
Image document

Comparaison des performances d’algorithmes itératifs bayésiens basés sur trois classes de modèles a priori parcimonieux appliqués à la reconstruction tomographique

Mircea Dumitru , Li Wang , Nicolas Gac , Ali Mohammad-Djafari
26eme Colloque GRETSI Traitement du Signal & des Images, GRETSI 2017, Sep 2017, Juans-Les-Pins, France
Conference papers hal-01569349v1

Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt2014)

Ali Mohammad-Djafari , Frédéric Barbaresco
Ali-Mohammad-Djafari, Frédéric Barbaresco. 1641, 2015, AIP Proceedings, 978-0-7354-1280-4
Books hal-01266100v1

Optical diffraction tomography within a variational Bayesian framework

H Ayasso , Bernard Duchêne , Ali Mohammad-Djafari
Inverse Problems in Science and Engineering, 2012, 20 (1), pp.59-73. ⟨10.1080/17415977.2011.624620⟩
Journal articles hal-00638296v1

Estimating the Period of a Signal through Inverse Problem Modeling and Bayesian Inference with Sparsity Enforcing Prior

M. Dumitru , Ali Mohammad-Djafari , Francis Lévi
MAXENT, Jul 2012, Garching, Germany. pp.1-6
Conference papers hal-00835491v1
Image document

Joint Reconstruction and Segmentation of Real 3D Data in Computed Tomography thanks to a Gauss-Markov-Potts Prior Model,

Camille Chapdelaine , Ali Mohammad-Djafari , Nicolas Gac , Estelle Parra-Denis
Fully 3D, Jun 2017, Xian, China. pp.810-813
Conference papers hal-01569301v1
Image document

A joint segmentation and reconstruction algorithm for 3D Bayesian Computed Tomography using Gaus-Markov-Potts Prior Model

Camille Chapdelaine , Ali Mohammad-Djafari , Nicolas Gac , Estelle Parra-Denis
The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States
Conference papers hal-01588443v1

Solving Noisy ICA Using Multivariate Wavelet Denoising with an Application to Noisy Latent Variables Regression

Vahid Nassiri , Mina Aminghafari , Ali Mohammad-Djafari
Communications in Statistics - Theory and Methods, 2014, 43 (10-12), pp.2297-2310. ⟨10.1080/03610926.2013.768662⟩
Journal articles hal-00826306v1
Image document

A Bayesian sparse inference approach in near-field wideband aeroacoustic imaging

Ning Chu , Ali Mohammad-Djafari , José Picheral
2012 19th IEEE International Conference on Image Processing (ICIP 2012), Sep 2012, Orlando, United States. pp.2529-2532, ⟨10.1109/ICIP.2012.6467413⟩
Conference papers hal-00770947v1
Image document

Bayesian 3D X-ray Computed Tomography with a Hierarchical Prior model for Sparsity in Haar Transform domain

Li Wang , Ali Mohammad-Djafari , Nicolas Gac , Mircea Dumitru
Entropy, 2018, Special Issue "Probabilistic Methods for Inverse Problems", ⟨10.3390/e20120977⟩
Journal articles hal-01950706v1

Separation of Non-Negative Mixture of Non-Negative Sources Using a Bayesian Approach and MCMC Sampling

Saïd Moussaoui , David Brie , Ali Mohammad-Djafari , Cédric Carteret
IEEE Transactions on Signal Processing, 2006, 54 (11), pp.4133-4145. ⟨10.1109/TSP.2006.880310⟩
Journal articles hal-00121602v1

Inverse Problems in Vision and 3D Tomography

Mohammad-Djafari Ali
ISTE-WILEY, 480 p, 2010
Books hal-00845857v1

Bayesian approaches

Mohammad-Djafari Ali , Knuth Kevin
P. Comon and C. Jutten. Handbook of Blind Source Separation: ICA and Applications, Elsevier, pp.467-513, 2010
Book sections hal-00845871v1

A Bayesian Reinterpretation of Dynamical System Identification by Sparse Regression Methods

Robert K. Niven , Laurent Cordier , Markus W. Abel , Markus Quade , Ali Mohammad-Djafari
72nd Annual APS/DFD Meeting, Nov 2019, Seattle, United States
Conference papers hal-02411827v1

A robust super-resolution approach for near-field wideband acoustic imaging with sparsity constraint

Ning Chu , José Picheral , Ali Mohammad-Djafari
2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2011) , Dec 2011, Bilbao, Spain. 6 p., ⟨10.1109/ISSPIT.2011.6151579⟩
Conference papers hal-00658941v1
Image document

New GPU implementation of Separable Footprint (SF) Projector and Backprojector : first results

Camille Chapdelaine , Nicolas Gac , Ali-Mohammad Djafari , Estelle Parra-Denis
The Fifth International Conference on Image Formation in X-Ray Computed Tomography, May 2018, Salt Lake City, United States. pp.314-317
Conference papers hal-01745746v1

Regularization, Bayesian Inference, and Machine Learning Methods for Inverse Problems

Ali Mohammad-Djafari
Entropy, 2021, 23 (12), pp.1673. ⟨10.3390/e23121673⟩
Journal articles hal-03694490v1