Separating Managerial Inefficiency from Influences of the Operating Environment: An Application in Dialysis. - Nick Kontodimopoulos; Nikolaos D. Papathanasiou; Yannis Tountas; Dimitris Niakas (J. Medical Syst., 2010)

The Impact of Non-Discretionary Factors on DEA and SFA Technical Efficiency Differences. - Nick Kontodimopoulos; Nikolaos D. Papathanasiou; Angeliki Flokou; Yannis Tountas; Dimitris Niakas (J. Medical Syst., 2011)

Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques. - Ioannis D. Apostolopoulos; Emmanuel G. Pintelas; Ioannis E. Livieris; Dimitris J. Apostolopoulos; Nikolaos D. Papathanasiou; Panagiotis E. Pintelas; George S. Panayiotakis (Medical Biol. Eng. Comput., 2021)

Detection and Localisation of Abnormal Parathyroid Glands: An Explainable Deep Learning Approach. - Dimitris J. Apostolopoulos; Ioannis D. Apostolopoulos; Nikolaos D. Papathanasiou; Trifon Spyridonidis; George S. Panayiotakis (Algorithms, 2022)

Abnormal Parathyroid Gland Localization in Scintigraphic Images Using a Vision Transformer Network. - Ioannis D. Apostolopoulos; Nikolaos D. Papathanasiou; Nikolaos I. Papandrianos; Elpiniki I. Papageorgiou; Dimitris J. Apostolopoulos (IISA, 2023)

Deep Fuzzy Cognitive Map methodology for Non-Small Cell Lung Cancer diagnosis based on Positron Emission Tomography imaging. - Anna Feleki; Ioannis D. Apostolopoulos; Elpiniki Papageorgiou; Serafeim P. Moustakidis; Nikolaos D. Papathanasiou; Dimitris J. Apostolopoulos; Konstantinos Kokkinos; Nikolaos I. Papandrianos (IISA, 2023)

Explainable Classification for Non-Small Cell Lung Cancer Based on Positron Emission Tomography Features and Clinical Data. - Agorastos-Dimitrios Samaras; Ioannis D. Apostolopoulos; Serafeim P. Moustakidis; Elpiniki Papageorgiou; Nikolaos D. Papathanasiou; Dimitris J. Apostolopoulos; Nikolaos I. Papandrianos (IISA, 2023)

Explainable Artificial Intelligence Method (ParaNet+) Localises Abnormal Parathyroid Glands in Scintigraphic Scans of Patients with Primary Hyperparathyroidism. - Dimitris J. Apostolopoulos; Ioannis D. Apostolopoulos; Nikolaos D. Papathanasiou; Trifon Spyridonidis; George S. Panayiotakis (Algorithms, 2023)

Investigating the Agreement with Human Readers and Generalisation Capabilities of a Transfer Learning Approach for Predicting the Malignancy of Solitary Pulmonary Nodules in CT Screening. - Ioannis D. Apostolopoulos; Nikolaos D. Papathanasiou; Dimitris J. Apostolopoulos; Nikolaos D. Papandrianos; Elpiniki I. Papageorgiou (IISA, 2024)

Multimodal Diagnosis using Deep Fuzzy Cognitive Map with Extreme Learning Machine Integrated into a Medical Decision Support System for Coronary Artery Disease and Non-Small Cell Lung Cancer Detection. - Elpiniki Papageorgiou; Anna Feleki; Nikolaos I. Papandrianos; Ioannis D. Apostolopoulos; Konstantinos Papageorgiou; Nikolaos D. Papathanasiou; Dimitrios J. Apostolopoulos (PCI, 2024)

A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination. - Ioannis D. Apostolopoulos; Nikolaos D. Papathanasiou; Dimitris J. Apostolopoulos; Nikolaos I. Papandrianos; Elpiniki I. Papageorgiou (Big Data Cogn. Comput., 2024)