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)

The smarty4covid dataset and knowledge base: a framework enabling interpretable analysis of audio signals. - Konstantia Zarkogianni; Edmund Dervakos; George Filandrianos; Theofanis Ganitidis; Vasiliki Gkatzou; Aikaterini Sakagianni; Raghu Raghavendra; C. L. Max Nikias; Giorgos Stamou; Konstantina S. Nikita (CoRR, 2023)

Uncertainty-Informed Active Learning Using Monte Carlo Dropout for Risk Stratification in Carotid Ultrasound Imaging. - Theofanis Ganitidis; Maria Athanasiou; Konstantina S. Nikita (BHI, 2024)

Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework. - Theofanis Ganitidis; Maria Athanasiou; Konstantinos Mitsis; Konstantia Zarkogianni; Konstantina S. Nikita (CoRR, 2024)