activity
20192024
most citedOn Solving SAR Imaging Inverse Problems Using Non-Convex Regularization with a Cauchy-based Penalty

55 citations · 100 across the 4 of their papers we have counts for

collaborators

9 papers

eess.IV2024

A Multimodal Approach for Fluid Overload Prediction: Integrating Lung Ultrasound and Clinical Data

Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakuş +2

Managing fluid balance in dialysis patients is crucial, as improper management can lead to severe complications. In this paper, we propose a multimodal approach that integrates vis…

eess.IV2020

Exploiting the Dual-Tree Complex Wavelet Transform for Ship Wake Detection in SAR Imagery

Wanli Ma, Alin Achim, Oktay Karakuş

In this paper, we analyse synthetic aperture radar (SAR) images of the sea surface using an inverse problem formulation whereby Radon domain information is enhanced in order to acc…

eess.IV2020

A Simulation Study to Evaluate the Performance of the Cauchy Proximal Operator in Despeckling SAR Images of the Sea Surface

Oktay Karakuş, Igor Rizaev, Alin Achim

The analysis of ocean surface is widely performed using synthetic aperture radar (SAR) imagery as it yields information for wide areas under challenging weather conditions, during…

eess.SP202055 cited

On Solving SAR Imaging Inverse Problems Using Non-Convex Regularization with a Cauchy-based Penalty

Oktay Karakuş, Alin Achim

Synthetic aperture radar (SAR) imagery can provide useful information in a multitude of applications, including climate change, environmental monitoring, meteorology, high dimensio…

eess.IV2020

A Generalized Gaussian Extension to the Rician Distribution for SAR Image Modeling

Oktay Karakuş, Ercan E. Kuruoglu, Alin Achim

In this paper, we present a novel statistical model, (GG-Rician) distribution, for the characterization of synthetic aperture radar (SAR)…

eess.IV202045 cited

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…