45 citations · 46 across the 3 of their papers we have counts for
3 papers
Single Image Super-Resolution of Noisy 3D Dental CT Images Using Tucker Decomposition
J. Hatvani, A. Basarab, J. Michetti +2
Tensor decomposition has proven to be a strong tool in various 3D image processing tasks such as denoising and super-resolution. In this context, we recently proposed a canonical p…
Joint Blind Deconvolution and Robust Principal Component Analysis for Blood Flow Estimation in Medical Ultrasound Imaging
Duong-Hung Pham, Adrian Basarab, Ilyess Zemmoura +2
This paper addresses the problem of high-resolution Doppler blood flow estimation from an ultrafast sequence of ultrasound images. Formulating the separation of clutter and blood c…
Detection of Line Artefacts in Lung Ultrasound Images of COVID-19 Patients via Non-Convex Regularization
Oktay Karakuş, Nantheera Anantrasirichai, Amazigh Aguersif +3
In this paper, we present a novel method for line artefacts quantification in lung ultrasound (LUS) images of COVID-19 patients. We formulate this as a non-convex regularisation pr…