56 citations · 317 across the 23 of their papers we have counts for
7 papers · 1 filter
Fast High Resolution Blood Flow Estimation and Clutter Rejection via an Alternating Optimization Problem
Duong-Hung Pham, Adrian Basarab, Jean-Pierre Remenieras +2
This paper introduces a computationally efficient technique for estimating high-resolution Doppler blood flow from an ultrafast ultrasound image sequence. More precisely, it consis…
A Novel Fast 3D Single Image Super-Resolution Algorithm
Nwigbo Kenule Tuador, Duong Hung Pham, Jérôme Michetti +2
This paper introduces a novel computationally efficient method of solving the 3D single image super-resolution (SR) problem, i.e., reconstruction of a high-resolution volume from i…
Poisson Image Deconvolution by a Plug-and-Play Quantum Denoising Scheme
Sayantan Dutta, Adrian Basarab, Bertrand Georgeot +1
This paper introduces a new Plug-and-Play (PnP) alternating direction of multipliers (ADMM) scheme based on a recently proposed denoiser using the Schroedinger equation's solutions…
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…