14 citations · 19 across the 5 of their papers we have counts for
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eess.IV2022★ 5 cited
Machine Learning Method for Functional Assessment of Retinal Models
Nikolas Papadopoulos, Nikos Melanitis, Antonio Lozano +3
Challenges in the field of retinal prostheses motivate the development of retinal models to accurately simulate Retinal Ganglion Cells (RGCs) responses. The goal of retinal prosthe…
eess.IV2022★ 14 cited
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images
Theofanis Ganitidis, Maria Athanasiou, Kalliopi Dalakleidi +3
Carotid atherosclerosis is the major cause of ischemic stroke resulting in significant rates of mortality and disability annually. Early diagnosis of such cases is of great importa…