14 citations · 18 across the 4 of their papers we have counts for
4 papers
Multimodal Carotid Risk Stratification with Large Vision-Language Models: Benchmarking, Fine-Tuning, and Clinical Insights
Daphne Tsolissou, Theofanis Ganitidis, Konstantinos Mitsis +3
Reliable risk assessment for carotid atheromatous disease remains a major clinical challenge, as it requires integrating diverse clinical and imaging information in a manner that i…
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 +2
Background: The COVID-19 pandemic has highlighted the need for robust diagnostic tools capable of detecting the disease from diverse and evolving data sources. Machine learning mod…
The smarty4covid dataset and knowledge base: a framework enabling interpretable analysis of audio signals
Konstantia Zarkogianni, Edmund Dervakos, George Filandrianos +7
Harnessing the power of Artificial Intelligence (AI) and m-health towards detecting new bio-markers indicative of the onset and progress of respiratory abnormalities/conditions has…
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…