Maria Athanasiou

24 papers B 1C 6Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Interpretable Graph Convolutional Networks for cardiovascular disease risk prediction in patients with Type 2 Diabetes Mellitus.
J. Biomed. Informatics
Ioannis Siachos, Maria Athanasiou, Konstantia Zarkogianni, Anastasia C. Thanopoulou, Konstantina S. Nikita
2025 J jnl
A Modular Framework for Automated Evaluation of Procedural Content Generation in Serious Games With Deep Reinforcement Learning Agents.
IEEE Trans. Games
Eleftherios Kalafatis, Konstantinos Mitsis, Konstantia Zarkogianni, Maria Athanasiou, Konstantina S. Nikita
2025 J jnl
A modular framework for automated evaluation of procedural content generation in serious games with deep reinforcement learning agents.
CoRR
Eleftherios Kalafatis, Konstantinos Mitsis, Konstantia Zarkogianni, Maria Athanasiou, Konstantina S. Nikita
2025 C conf
Comparative Assessment of Uncertainty-Aware Deep Learning Methods for Atherosclerosis Risk Stratification from Carotid Ultrasound Imaging.
BIBE
Kalliopi Sarafi, Theofanis Ganitidis, Maria Athanasiou, Konstantina S. Nikita
2025 J jnl
Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images.
CoRR
Maria Eleftheria Vlontzou, Maria Athanasiou, Christos Davatzikos, Konstantina S. Nikita
2025 C conf
Development of an Interpretable and Uncertainty-Aware Deep Learning Model for Gastric Cancer Histopathological Image Classification.
BIBE
Aikaterini Martakou Galiatsatou, Maria Athanasiou, Konstantina S. Nikita
2025 C conf
Fairness-Aware Deep Learning Model for Covid19 Detection from Cough Audio Recordings.
BIBE
Dimitra Kostavasili, Theofanis Ganitidis, Maria Athanasiou, Konstantina S. Nikita
2025 C conf
Gut Microbial Signatures for Early Screening of Autism Spectrum Disorder: An Interpretable Machine Learning Approach.
BIBE
Glykeria Theodorou, Aris Markogiannakis, Maria Athanasiou, Konstantinos Mitsis, Konstantina S. Nikita
2024 J jnl
A comprehensive interpretable machine learning framework for Mild Cognitive Impairment and Alzheimer's disease diagnosis.
CoRR
Maria Eleftheria Vlontzou, Maria Athanasiou, Kalliopi Dalakleidi, Ioanna Skampardoni, Christos Davatzikos, Konstantina S. Nikita
2024 — conf
Development of personalized interpretable multilevel prediction models for the risk assessment of hypoglycemia in Type 1 Diabetes.
EMBC
Maria Athanasiou, Nefeli Myropoulou, Konstantia Zarkogianni, Konstantina S. Nikita
2024 J jnl
Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework.
CoRR
Theofanis Ganitidis, Maria Athanasiou, Konstantinos Mitsis, Konstantia Zarkogianni, Konstantina S. Nikita
2024 — conf
Uncertainty-Informed Active Learning Using Monte Carlo Dropout for Risk Stratification in Carotid Ultrasound Imaging.
BHI
Theofanis Ganitidis, Maria Athanasiou, Konstantina S. Nikita
2022 — conf
Artificial Intelligence Based Procedural Content Generation in Serious Games for Health: The Case of Childhood Obesity.
MobiHealth
Eleftherios Kalafatis, Konstantinos Mitsis, Konstantia Zarkogianni, Maria Athanasiou, Antonis Voutetakis, Nicolas Nicolaides, Evi Chatzidaki, Nektaria Polychronaki, Vassia Chioti, Panagiota Pervanidou, Konstantinos Perakis, Danae Antonopoulou, Efi Papachristou, Christina Kanaka-Gantenbein, Konstantina S. Nikita
2022 J jnl
Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis.
CoRR
Panagiota Karatza, Kalliopi V. Dalakleidi, Maria Athanasiou, Konstantina S. Nikita
2022 J jnl
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images.
CoRR
Theofanis Ganitidis, Maria Athanasiou, Kalliopi Dalakleidi, Nikos Melanitis, Spyretta Golemati, Konstantina S. Nikita
2021 C conf
An LSTM-based Approach Towards Automated Meal Detection from Continuous Glucose Monitoring in Type 1 Diabetes Mellitus.
BIBE
Maria Athanasiou, Konstantia Zarkogianni, Konstantinos Karytsas, Konstantina S. Nikita
2021 — conf
Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis.
EMBC
Panagiota Karatza, Kalliopi Dalakleidi, Maria Athanasiou, Konstantina S. Nikita
2021 — conf
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images.
EMBC
Theofanis Ganitidis, Maria Athanasiou, Kalliopi Dalakleidi, Nikos Melanitis, Spyretta Golemati, Konstantina S. Nikita
2020 C conf
An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus.
BIBE
Maria Athanasiou, Konstantina Sfrintzeri, Konstantia Zarkogianni, Anastasia C. Thanopoulou, Konstantina S. Nikita
2020 J jnl
An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus.
CoRR
Maria Athanasiou, Konstantina Sfrintzeri, Konstantia Zarkogianni, Anastasia C. Thanopoulou, Konstantina S. Nikita
2019 — conf
An Ontology-Based Serious Game Design for the Development of Nutrition and Food Literacy Skills.
EMBC
Konstantinos Mitsis, Konstantia Zarkogianni, Nefeli Bountouni, Maria Athanasiou, Konstantina S. Nikita
2018 J jnl
Comparison of Machine Learning Approaches Toward Assessing the Risk of Developing Cardiovascular Disease as a Long-Term Diabetes Complication.
IEEE J. Biomed. Health Informatics
Konstantia Zarkogianni, Maria Athanasiou, Anastasia C. Thanopoulou
2009 J jnl
A Bayesian network model for the diagnosis of the caring procedure for wheelchair users with spinal injury.
Comput. Methods Programs Biomed.
Maria Athanasiou, Jonathan Y. Clark
2007 B conf
A Bayesian Network Model for the Diagnosis of the Caring Procedure for Wheelchair Users with Spinal Injury.
CBMS
Maria Athanasiou, Jonathan Y. Clark