A Bayesian network model for the diagnosis of the caring procedure for wheelchair users with spinal injury. - Maria Athanasiou; Jonathan Y. Clark (Comput. Methods Programs Biomed., 2009)

Comparison of Machine Learning Approaches Toward Assessing the Risk of Developing Cardiovascular Disease as a Long-Term Diabetes Complication. - Konstantia Zarkogianni; Maria Athanasiou; Anastasia C. Thanopoulou (IEEE J. Biomed. Health Informatics, 2018)

An Ontology-Based Serious Game Design for the Development of Nutrition and Food Literacy Skills. - Konstantinos Mitsis; Konstantia Zarkogianni; Nefeli Bountouni; Maria Athanasiou; Konstantina S. Nikita (EMBC, 2019)

An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus. - Maria Athanasiou; Konstantina Sfrintzeri; Konstantia Zarkogianni; Anastasia C. Thanopoulou; Konstantina S. Nikita (BIBE, 2020)

An LSTM-based Approach Towards Automated Meal Detection from Continuous Glucose Monitoring in Type 1 Diabetes Mellitus. - Maria Athanasiou; Konstantia Zarkogianni; Konstantinos Karytsas; Konstantina S. Nikita (BIBE, 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)

Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis. - Panagiota Karatza; Kalliopi Dalakleidi; Maria Athanasiou; Konstantina S. Nikita (EMBC, 2021)

Artificial Intelligence Based Procedural Content Generation in Serious Games for Health: The Case of Childhood Obesity. - Eleftherios Kalafatis; Konstantinos Mitsis; Konstantia Zarkogianni; Maria Athanasiou; Antonis Voutetakis; Nicolas Nicolaides; Evi Chatzidaki; Nektaria Polychronaki; Vassia Chioti; Panagiota Pervanidou; Konstantinos Perakis; Danae Antonopoulou; et al. (MobiHealth, 2022)

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

Development of personalized interpretable multilevel prediction models for the risk assessment of hypoglycemia in Type 1 Diabetes. - Maria Athanasiou; Nefeli Myropoulou; Konstantia Zarkogianni; Konstantina S. Nikita (EMBC, 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)

A comprehensive interpretable machine learning framework for Mild Cognitive Impairment and Alzheimer's disease diagnosis. - Maria Eleftheria Vlontzou; Maria Athanasiou; Kalliopi Dalakleidi; Ioanna Skampardoni; Christos Davatzikos; Konstantina S. Nikita (CoRR, 2024)

A modular framework for automated evaluation of procedural content generation in serious games with deep reinforcement learning agents. - Eleftherios Kalafatis; Konstantinos Mitsis; Konstantia Zarkogianni; Maria Athanasiou; Konstantina S. Nikita (CoRR, 2025)

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images. - Maria Eleftheria Vlontzou; Maria Athanasiou; Christos Davatzikos; Konstantina S. Nikita (CoRR, 2025)