Ali MOHAMMAD DJAFARI
My co-authors include
IET Radar Sonar & Navigation
Variational Bayesian inversion of electromagnetic geophysical data
Joint reconstruction and segmentation in 3D Computed Tomography
X-ray Computed Tomography using a Sparsity Enforcing Prior Model Based on Haar Transfor...
Performance comparison of Bayesian iterative algorithms for three classes of sparsity e...
Bayesian method with sparsity enforcing prior of dual-tree complex wavelet transform co...
X-ray Computed Tomography simultaneous image reconstruction and contour detection using...
Approximate Bayesian computation for machine learning, inverse problems and big data
Bayesian X-ray computed tomography using a three-level hierarchical prior model
Computed tomography reconstruction based on a hierarchical model and variational Bayesi...
A hierarchical variational Bayesian approximation approach in acoustic imaging
Aero-acoustics source separation with sparsity inducing priors in the frequency domain
Bayesian 3D X-ray computed tomography image reconstruction with a scaled Gaussian mixtu...
A Gauss-Markov mixture prior model for a variational Bayesian approach to microwave bre...
Inverse scattering in a Bayesian framework: application to microwave imaging for breast...
A variational Bayesian approximation approach via a sparsity enforcing prior in acousti...
Algorithmes de reconnaissance NCTR et parallélisation sur GPU
Traitement du signal
Inverse Problems in Vision and 3D Tomography
Gauss-Markov-Potts Prior for Bayesian Inversion in Microwave Imaging
Surface Reconstruction from Tomography Data
Introduction to Inverse Problems in Imaging and Vision
Bayesian inference tools for inverse problems
An efficient variational Bayesian inference approach via Studient's-t priors for acoust...
Variational Bayesian approximation with scale mixture prior for inverse problems: A num...
New copulas obtained by maximizing Tsallis or Rényi entropies
A novel hierarchical bayesian method for SAR image reconstruction
Maximum Entropies Copulas
Bayesian Knowledge Fusion in Prognostics and Health Management—A Case Study
Signals and Images Foreground∕Background Joint Estimation and Separation
A Bayesian approach to Fourier Synthesis inverse problem with application in SAR imaging
Particle Filtering on Riemannian Manifolds
Yet Another Analysis of Dice Problems
Wavelet Domain Image Separation
Bayesian inference for inverse problems
A Bayesian approach to source separation
Blind deconvolution approach for resolution enhancement of near-field microwave images
From deterministic to probabilistic approaches to solve inverse problems