Publication type

Conference Proceeding

Conference Proceeding 2025

Feature Engineering with Large Language Models Improves Solitary Pulmonary Nodule Malignancy Classification with Machine Learning

Ioannis D. Apostolopoulos; Nikolaos D. Papathanasiou; Dimitrios Apostolopoulos; Nikolaos Papandrianos; Elpiniki I. Papageorgiou

2025 16th International Conference on Information, Intelligence, Systems & Applications (IISA) 10.1109/IISA66859.2025.11311233

Medicine CT Lung Cancer Generative AI

Conference Proceeding 2025

Forecasting PM2.5 and NO2 Concentrations in Patras Using Low-Cost Sensors and Machine Learning

Ioannis D. Apostolopoulos; George Fouskas; Spyros N. Pandis

2025 IEEE International Smart Cities Conference (ISC2) 10.1109/ISC266238.2025.11293331

Air Quality Air Quality Forecast Models Sensors Deep Learning Machine Learning Sensors

Conference Proceeding 2024

A Medical Decision Support System (MDSS) for Explainable Multimodal Detection of Non-Small Cell Lung Cancer Using Clinical and PET Data

Anna Feleki, Nikolaos Papandrianos, Ioannis D. Apostolopoulos, Elpiniki Papageorgiou, Nikolaos Papathanasiou, Dimitrios Apostolopoulos, Jose Maria Alonso Moral, Javier Andreu-Perez

EXPLAINABILITY 2024 10.5281/zenodo.14631853

Medicine CT Lung Cancer PET Explainable AI Machine Learning

Conference Proceeding 2024

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 10.1109/IISA62523.2024.10786628

Medicine CT Lung Cancer PET Explainable AI Machine Learning

Conference Proceeding 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 Moustakidis, Elpiniki Papageorgiou, Konstantinos Kokkinos, Nikolaos Papandrianos

IISA 2024 10.1109/IISA62523.2024.10786612

Medicine CT Lung Cancer PET Explainable AI Fuzzy Cognitive Maps

Conference Proceeding 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 I Papageorgiou, Anna Feleki, Nikolaos I Papandrianos, Ioannis D. Apostolopoulos, Konstantinos I Papageorgiou, Nikolaos D Papathanasiou, Dimitrios J Apostolopoulos

28th Pan-Hellenic Conference on Informatics (PCI 2024) 10.1145/3716554.3716615

Medicine CT Lung Cancer PET Deep Learning Explainable AI Fuzzy Cognitive Maps

Conference Proceeding 2023

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

13th Conference of the European Society for Fuzzy Logic and Technology 10.1007/978-3-031-39965-7_2

Medicine Coronary Artery Disease SPECT Explainable AI Fuzzy Cognitive Maps

Conference Proceeding 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 10.1109/IISA59645.2023.10345948

Medicine Parathyroid Glands Deep Learning

Conference Proceeding 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 Moustakidis, Nikolaos D Papathanasiou, Dimitris J Apostolopoulos, Konstantinos Kokkinos, Nikolaos Papandrianos

IISA 2023 10.1109/IISA59645.2023.10345912

Medicine CT Lung Cancer PET Deep Learning Explainable AI Fuzzy Cognitive Maps

Conference Proceeding 2023

Diagnosis of Coronary Artery Disease from Myocardial Perfusion Imaging Polar Maps with an innovative attention-based feature-fusion network

Anna Feleki et al.

19th International Conference on Machine Learning and Data Mining MLDM

Medicine Coronary Artery Disease SPECT Deep Learning

Conference Proceeding 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 Moustakidis, Elpiniki Papageorgiou, Nikolaos D Papathanasiou, Dimitris J Apostolopoulos, Nikolaos Papandrianos

IISA 2023 10.1109/IISA59645.2023.10345893

Medicine CT Lung Cancer PET Explainable AI Machine Learning

Conference Proceeding 2022

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

Fabulus 2022 10.1007/978-3-031-15101-9_9

Air Quality Sensors Sensors

Conference Proceeding 2022

Deep learning for the detection and localization of abnormal parathyroid glands in patients with hyperparathyroidism

Ioannis D. Apostolopoulos, Nikolaos Papathanasiou, George Panayiotakis, Dimitris Apostolopoulos

1st Panhellenic Conference of Medical Physics 10.1016/S1120-1797(22)03068-X

Medicine Parathyroid Glands Deep Learning Explainable AI

Conference Proceeding 2022

Evaluation of Grad-CAM for explaining Deep Learning’s decisions on various medical imaging datasets

Ifigeneia Athanasoula, Ioannis D. Apostolopoulos, Peter P Groumpos

UBT INTERNATIONAL CONFERENCE 2022RESILIENCE, INNOVATION, AND SUSTAINABILITY 10.33107/ubt-ic.2022.283

Medicine Deep Learning Explainable AI

Conference Proceeding 2022

Explainable Deep Learning for localising abnormal Parathyroid Glands in parathyroid scintigraphy

Ioannis D. Apostolopoulos, Apostolopoulos Dimitris, Spyridonidis Trifon, Panayiotakis George S

Edge Intelligence 2022 10.63438/NWSS8207

Medicine Parathyroid Glands Deep Learning Explainable AI

Conference Proceeding 2022

Fuzzy Cognitive Maps and Explainable Artificial Intelligence: a critical perspective

Ifigeneia Athanasoula, Ioannis D. Apostolopoulos, Peter P Groumpos

UBT INTERNATIONAL CONFERENCE 2022RESILIENCE, INNOVATION, AND SUSTAINABILITY 10.33107/ubt-ic.2022.281

Medicine Explainable AI Fuzzy Cognitive Maps

Conference Proceeding 2022

Intelligent Modeling for the food chain using Fuzzy Cognitive Maps

Ifigeneia Athanasoula, Ioannis D. Apostolopoulos, Peter P Groumpos

UBT INTERNATIONAL CONFERENCE 2022RESILIENCE, INNOVATION, AND SUSTAINABILITY 10.33107/ubt-ic.2022.282

Medicine Explainable AI Fuzzy Cognitive Maps

Conference Proceeding 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 10.1109/IISA56318.2022.9904334

Medicine CT Lung Cancer PET Deep Learning

Conference Proceeding 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 10.1109/IISA56318.2022.9904388

Medicine Coronary Artery Disease SPECT Fuzzy Cognitive Maps Machine Learning

Conference Proceeding 2017

A Medical Decision Support System for the Prediction of the Coronary Artery Disease Using Fuzzy Cognitive Maps

Ioannis D. Apostolopoulos, Peter P Groumpos, Dimitris I Apostolopoulos

Creativity in Intelligent Technologies and Data Science 10.1007/978-3-319-65551-2_20

Medicine Coronary Artery Disease SPECT Explainable AI Fuzzy Cognitive Maps

Conference Proceeding

Feature Engineering with Large Language Models Improves Solitary Pulmonary Nodule Malignancy Classification with Machine Learning

Forecasting PM2.5 and NO2 Concentrations in Patras Using Low-Cost Sensors and Machine Learning

A Medical Decision Support System (MDSS) for Explainable Multimodal Detection of Non-Small Cell Lung Cancer Using Clinical and PET Data

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

Medical Decision Support System in Nuclear Medicine Diagnosis for Non-Small Cell Lung Cancer and Coronary Artery Disease: A First Stage Prototype

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

A Fuzzy Cognitive Map learning approach for coronary artery disease diagnosis in Nuclear Medicine

Abnormal Parathyroid Gland localization in scintigraphic images using a Vision Transformer network

Deep Fuzzy Cognitive Map methodology for Non-Small Cell Lung Cancer diagnosis based on Positron Emission Tomography imaging

Diagnosis of Coronary Artery Disease from Myocardial Perfusion Imaging Polar Maps with an innovative attention-based feature-fusion network

Explainable Classification for Non-Small Cell Lung Cancer based on Positron Emission Tomography features and clinical data

An IoT integrated Air Quality Monitoring device based on microcomputer technology and leading industry low-cost sensor solutions

Deep learning for the detection and localization of abnormal parathyroid glands in patients with hyperparathyroidism

Evaluation of Grad-CAM for explaining Deep Learning’s decisions on various medical imaging datasets

Explainable Deep Learning for localising abnormal Parathyroid Glands in parathyroid scintigraphy

Fuzzy Cognitive Maps and Explainable Artificial Intelligence: a critical perspective

Intelligent Modeling for the food chain using Fuzzy Cognitive Maps

Solitary Pulmonary Nodule malignancy classification utilising 3D features and semi-supervised Deep Learning

Towards an Internet of Things application for the prognosis of Coronary Artery Disease using Machine Learning and Fuzzy Logic

A Medical Decision Support System for the Prediction of the Coronary Artery Disease Using Fuzzy Cognitive Maps

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