activity
20192024
most citedStratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images

14 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2024

AIris: An AI-powered Wearable Assistive Device for the Visually Impaired

Dionysia Danai Brilli, Evangelos Georgaras, Stefania Tsilivaki +2

Assistive technologies for the visually impaired have evolved to facilitate interaction with a complex and dynamic world. In this paper, we introduce AIris, an AI-powered wearable…

q-bio.NC2023

Visual attention information can be traced on cortical response but not on the retina: evidence from electrophysiological mouse data using natural images as stimuli

Nikos Melanitis, Konstantina Nikita

Visual attention forms the basis of understanding the visual world. In this work we follow a computational approach to investigate the biological basis of visual attention. We anal…

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…

cs.CV2019

A linear method for camera pair self-calibration and multi-view reconstruction with geometrically verified correspondences

Nikos Melanitis, Petros Maragos

We examine 3D reconstruction of architectural scenes in unordered sets of uncalibrated images. We introduce a linear method to self-calibrate and find the metric reconstruction of…