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20182026
most citedDetection of Line Artefacts in Lung Ultrasound Images of COVID-19 Patients via Non-Convex Regularization

45 citations

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eess.IV2025★ 20 cited

Computer-aided shape features extraction and regression models for predicting the ascending aortic aneurysm growth rate

Leonardo Geronzi, Antonio Martinez, Michel Rochette +13

Objective: ascending aortic aneurysm growth prediction is still challenging in clinics. In this study, we evaluate and compare the ability of local and global shape features to pre…

eess.IV2020★ 45 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…