Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules' malignancy rating. - Ioannis D. Apostolopoulos (CoRR, 2020)

Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks. - Ioannis D. Apostolopoulos; Tzani Bessiana (CoRR, 2020)

Non-invasive modelling methodology for the diagnosis of Coronary Artery Disease using Fuzzy Cognitive Maps. - Ioannis D. Apostolopoulos; Peter P. Groumpos (CoRR, 2020)

State Space Advanced Fuzzy Cognitive Map approach for automatic and non Invasive diagnosis of Coronary Artery Disease. - Ioannis D. Apostolopoulos; Peter P. Groumpos; Dimitris J. Apostolopoulos (CoRR, 2020)

Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19. - Ioannis D. Apostolopoulos; Mpesiana Tzani (CoRR, 2020)

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)

An IoT Integrated Air Quality Monitoring Device Based on Microcomputer Technology and Leading Industry Low-Cost Sensor Solutions. - Ioannis D. Apostolopoulos; George Fouskas; Spyros N. Pandis (FABULOUS, 2022)

Solitary Pulmonary Nodule malignancy classification utilising 3D features and semi-supervised Deep Learning. - Ioannis D. Apostolopoulos; Dimitris J. Apostolopoulos; George S. Panayiotakis (IISA, 2022)

Towards an Internet of Things application for the prognosis of Coronary Artery Disease using Machine Learning and Fuzzy Logic. - Ioannis D. Apostolopoulos; Besiana A. Tzani (IISA, 2022)

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)

An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME. - Ioannis D. Apostolopoulos; Ifigeneia Athanasoula; Mpesi Tzani; Peter P. Groumpos (Mach. Learn. Knowl. Extr., 2022)

Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study. - Ioannis D. Apostolopoulos; Nikolaos I. Papandrianos; Elpiniki I. Papageorgiou; Dimitris J. Apostolopoulos (Mach. Learn. Knowl. Extr., 2022)

A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine. - Anna Feleki; Ioannis D. Apostolopoulos; Konstantinos Papageorgiou; Elpiniki I. Papageorgiou; Dimitris J. Apostolopoulos; Nikolaos I. Papandrianos (EUSFLAT/AGOP, 2023)

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)

ChatGPT: ascertaining the self-evident. The use of AI in generating human knowledge. - Ioannis D. Apostolopoulos; Mpesi Tzani; Sokratis I. Aznaouridis (CoRR, 2023)

An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging. - Ioannis D. Apostolopoulos; Sokratis I. Aznaouridis; Mpesi Tzani (Inf., 2023)

Industrial object and defect recognition utilizing multilevel feature extraction from industrial scenes with Deep Learning approach. - Ioannis D. Apostolopoulos; Mpesiana Tzani (J. Ambient Intell. Humaniz. Comput., 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)

Medical Decision Support System in Nuclear Medicine Diagnosis for Non-Small Cell Lung Cancer and Coronary Artery Disease: A First Stage Prototype. - Agorastos-Dimitrios Samaras; Anna Feleki; Ioannis D. Apostolopoulos; Serafeim P. Moustakidis; Elpiniki Papageorgiou; Konstantinos Kokkinos; Nikolaos I. Papandrianos (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)

Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning. - Ioannis D. Apostolopoulos; Silas Androulakis; Panayiotis Kalkavouras; George Fouskas; Spyros N. Pandis (Sensors, 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)