| 2025 | BIBE | Development of an Interpretable and Uncertainty-Aware Deep Learning Model for Gastric Cancer Histopathological Image Classification. | Aikaterini Martakou Galiatsatou, Maria Athanasiou, Konstantina S. Nikita |
| 2025 | BIBE | Fairness-Aware Deep Learning Model for Covid19 Detection from Cough Audio Recordings. | Dimitra Kostavasili, Theofanis Ganitidis, Maria Athanasiou, Konstantina S. Nikita |
| 2025 | BIBE | 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 |
| 2025 | BIBE | Gut Microbial Signatures for Early Screening of Autism Spectrum Disorder: An Interpretable Machine Learning Approach. | Glykeria Theodorou, Aris Markogiannakis, Maria Athanasiou, Konstantinos Mitsis, Konstantina S. Nikita |
| 2021 | BIBE | 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 |
| 2020 | BIBE | 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 |
| 2007 | CBMS | A Bayesian Network Model for the Diagnosis of the Caring Procedure for Wheelchair Users with Spinal Injury. | Maria Athanasiou, Jonathan Y. Clark |