Predicting Eye Fixations Using Computer Vision Techniques. - Ada Alevizaki; Nikos Melanitis; Konstantina S. Nikita (BIBE, 2019)

Biologically-inspired image processing in computational retina models. - Nikos Melanitis; Konstantina S. Nikita (Comput. Biol. Medicine, 2019)

A linear method for camera pair self-calibration and multi-view reconstruction with geometrically verified correspondences. - Nikos Melanitis; Petros Maragos (CoRR, 2019)

Assessing Vision Quality in Retinal Prosthesis Implantees through Deep Learning: Current Progress and Improvements by Optimizing Hardware Design Parameters and Rehabilitation. - Alexandros Benetatos; Nikos Melanitis; Konstantina S. Nikita (EMBC, 2021)

Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images. - Theofanis Ganitidis; Maria Athanasiou; Kalliopi Dalakleidi; Nikos Melanitis; Spyretta Golemati; Konstantina S. Nikita (EMBC, 2021)

Using Biologically-inspired Image Features to Model Retinal Response: Evidence from Biological Datasets. - Nikos Melanitis; Giorgos Nakopoulos; Antonio Lozano; Cristina Soto-Sánchez; Eduardo Fernández 001; Konstantina S. Nikita (EMBC, 2021)

Machine Learning Method for Functional Assessment of Retinal Models. - Nikolas Papadopoulos; Nikos Melanitis; Antonio Lozano; Cristina Soto-Sánchez; Eduardo Fernández 001; Konstantina S. Nikita (EMBC, 2021)

A linear method for camera pair self-calibration. - Nikos Melanitis; Petros Maragos (Comput. Vis. Image Underst., 2021)

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 S. Nikita (CoRR, 2023)

AIris: An AI-Powered Wearable Assistive Device for the Visually Impaired. - Dionysia Danai Brilli; Evangelos Georgaras; Stefania Tsilivaki; Nikos Melanitis; Konstantina S. Nikita (BioRob, 2024)