Theofanis Ganitidis

According to our database, Theofanis Ganitidis authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multimodal Carotid Risk Stratification with Large Vision-Language Models: Benchmarking, Fine-Tuning, and Clinical Insights.

Daphne Tsolissou, Theofanis Ganitidis, Konstantinos Mitsis, Stergios CHristodoulidis, Maria Vakalopoulou, Konstantina S. Nikita

Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

Comparative Assessment of Uncertainty-Aware Deep Learning Methods for Atherosclerosis Risk Stratification from Carotid Ultrasound Imaging.

Kalliopi Sarafi, Theofanis Ganitidis, Maria Athanasiou, Konstantina S. Nikita

Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

Personalized Threshold-Based HRV Stress Detection from PPG Data: Preliminary Evaluation with a Biofeedback Serious Game.

Stylianos M. Papelis, Nikolaos Bothos-Vouterakos, Konstantinos Mitsis, Aikaterini Fragkou, Glykeria Theodorou, Eleftherios Kalafatis, Theofanis Ganitidis, Konstantina S. Nikita

Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

Fairness-Aware Deep Learning Model for Covid19 Detection from Cough Audio Recordings.

Dimitra Kostavasili, Theofanis Ganitidis, Maria Athanasiou, Konstantina S. Nikita

Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

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

Uncertainty-Informed Active Learning Using Monte Carlo Dropout for Risk Stratification in Carotid Ultrasound Imaging.

Theofanis Ganitidis, Maria Athanasiou, Konstantina S. Nikita

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

2023

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

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

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021