Ioannis D. Apostolopoulos

30 papers Journal 18Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explainable YOLOv8 model for solitary pulmonary nodules classification using positron emission tomography and computed tomography scans. J. Intell. Syst. Agorastos-Dimitrios Samaras, Serafeim P. Moustakidis, Ioannis D. Apostolopoulos, Elpiniki Papageorgiou, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos
2025	J	`jnl`	A machine learning approach for determining solitary pulmonary nodule malignancy in patients undergoing PET/CT examination. Multim. Tools Appl. Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Elpiniki I. Papageorgiou, Nikolaos I. Papandrianos
2025	—	`conf`	Feature Engineering with Large Language Models Improves Solitary Pulmonary Nodule Malignancy Classification with Machine Learning. IISA Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou
2025	—	`conf`	Forecasting PM ISC2 Ioannis D. Apostolopoulos, George Fouskas, Spyros N. Pandis
2025	J	`jnl`	Neural-FCM: a deep learning approach for weight matrix optimization in Fuzzy Cognitive Map classifiers. Appl. Intell. Theodoros Tziolas, Konstantinos Papageorgiou, Ioannis D. Apostolopoulos, Elpiniki Papageorgiou
2024	J	`jnl`	A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination. Big Data Cogn. Comput. Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou
2024	J	`jnl`	Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning. Sensors Ioannis D. Apostolopoulos, Silas Androulakis, Panayiotis Kalkavouras, George Fouskas, Spyros N. Pandis
2024	—	`conf`	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. IISA Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos D. Papandrianos, Elpiniki I. Papageorgiou
2024	—	`conf`	Medical Decision Support System in Nuclear Medicine Diagnosis for Non-Small Cell Lung Cancer and Coronary Artery Disease: A First Stage Prototype. IISA Agorastos-Dimitrios Samaras, Anna Feleki, Ioannis D. Apostolopoulos, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Konstantinos Kokkinos, Nikolaos I. Papandrianos
2024	—	`conf`	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. PCI Elpiniki Papageorgiou, Anna Feleki, Nikolaos I. Papandrianos, Ioannis D. Apostolopoulos, Konstantinos Papageorgiou, Nikolaos D. Papathanasiou, Dimitrios J. Apostolopoulos
2023	—	`conf`	A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine. EUSFLAT/AGOP Anna Feleki, Ioannis D. Apostolopoulos, Konstantinos Papageorgiou, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos
2023	—	`conf`	Abnormal Parathyroid Gland Localization in Scintigraphic Images Using a Vision Transformer Network. IISA Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos
2023	J	`jnl`	An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging. Inf. Ioannis D. Apostolopoulos, Sokratis I. Aznaouridis, Mpesi Tzani
2023	J	`jnl`	ChatGPT: ascertaining the self-evident. The use of AI in generating human knowledge. CoRR Ioannis D. Apostolopoulos, Mpesi Tzani, Sokratis I. Aznaouridis
2023	—	`conf`	Deep Fuzzy Cognitive Map methodology for Non-Small Cell Lung Cancer diagnosis based on Positron Emission Tomography imaging. IISA Anna Feleki, Ioannis D. Apostolopoulos, Elpiniki Papageorgiou, Serafeim P. Moustakidis, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Konstantinos Kokkinos, Nikolaos I. Papandrianos
2023	J	`jnl`	Explainable Artificial Intelligence Method (ParaNet+) Localises Abnormal Parathyroid Glands in Scintigraphic Scans of Patients with Primary Hyperparathyroidism. Algorithms Dimitris J. Apostolopoulos, Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Trifon Spyridonidis, George S. Panayiotakis
2023	—	`conf`	Explainable Classification for Non-Small Cell Lung Cancer Based on Positron Emission Tomography Features and Clinical Data. IISA Agorastos-Dimitrios Samaras, Ioannis D. Apostolopoulos, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos
2023	J	`jnl`	Industrial object and defect recognition utilizing multilevel feature extraction from industrial scenes with Deep Learning approach. J. Ambient Intell. Humaniz. Comput. Ioannis D. Apostolopoulos, Mpesiana Tzani
2022	J	`jnl`	An Explainable Deep Learning Framework for Detecting and Localising Smoke and Fire Incidents: Evaluation of Grad-CAM++ and LIME. Mach. Learn. Knowl. Extr. Ioannis D. Apostolopoulos, Ifigeneia Athanasoula, Mpesi Tzani, Peter P. Groumpos
2022	—	`conf`	An IoT Integrated Air Quality Monitoring Device Based on Microcomputer Technology and Leading Industry Low-Cost Sensor Solutions. FABULOUS Ioannis D. Apostolopoulos, George Fouskas, Spyros N. Pandis
2022	J	`jnl`	Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study. Mach. Learn. Knowl. Extr. Ioannis D. Apostolopoulos, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos
2022	J	`jnl`	Detection and Localisation of Abnormal Parathyroid Glands: An Explainable Deep Learning Approach. Algorithms Dimitris J. Apostolopoulos, Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Trifon Spyridonidis, George S. Panayiotakis
2022	—	`conf`	Solitary Pulmonary Nodule malignancy classification utilising 3D features and semi-supervised Deep Learning. IISA Ioannis D. Apostolopoulos, Dimitris J. Apostolopoulos, George S. Panayiotakis
2022	—	`conf`	Towards an Internet of Things application for the prognosis of Coronary Artery Disease using Machine Learning and Fuzzy Logic. IISA Ioannis D. Apostolopoulos, Besiana A. Tzani
2021	J	`jnl`	Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques. Medical Biol. Eng. Comput. Ioannis D. Apostolopoulos, Emmanuel G. Pintelas, Ioannis E. Livieris, Dimitris J. Apostolopoulos, Nikolaos D. Papathanasiou, Panagiotis E. Pintelas, George S. Panayiotakis
2020	J	`jnl`	Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks. CoRR Ioannis D. Apostolopoulos, Tzani Bessiana
2020	J	`jnl`	Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules' malignancy rating. CoRR Ioannis D. Apostolopoulos
2020	J	`jnl`	Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19. CoRR Ioannis D. Apostolopoulos, Mpesiana Tzani
2020	J	`jnl`	Non-invasive modelling methodology for the diagnosis of Coronary Artery Disease using Fuzzy Cognitive Maps. CoRR Ioannis D. Apostolopoulos, Peter P. Groumpos
2020	J	`jnl`	State Space Advanced Fuzzy Cognitive Map approach for automatic and non Invasive diagnosis of Coronary Artery Disease. CoRR Ioannis D. Apostolopoulos, Peter P. Groumpos, Dimitris J. Apostolopoulos