CT imaging is widely used in medical science over the last decades. The process of CT
image reconstruction depends on many physical measurements such as radiation dose …

In this paper, we present an algorithm for online 3D reconstruction of dynamic scenes using
individual times of arrival (ToA) of photons recorded by single-photon detector arrays. One of …

Compressive x-ray cone-beam computed tomography (CBCT) approaches rely on coded
apertures (CA) along multiple view angles to block a portion of the x-ray energy traveling …

This paper discusses Expectation-Propagation (EP) methods for approximate Bayesian
inference in the context of linear regression with Poisson noise. We review two main factor …

In X-ray tomography image reconstruction, one of the most successful approaches involves
a statistical approach with l 2 norm for fidelity function and some regularization function with …

Dans ce papier, nous proposons une méthode de séparation et reconstruction simultanées
des composantes d'intérêt d'un objet dans le contexte de la tomodensitométrie spectrale …

Approximate Bayesian Computation tools for Large scale Inverse problems and Hierarchical
models for Big Data Page 1 Prior Likelihood Posterior Approximated Posterior Approximate …