PET

Explainable AI Suite for Nuclear Medicine

An end-to-end environment for developing and interrogating deep learning models on nuclear medicine and radiological images. It handles study import,…

Explainable YOLOv8 model for solitary pulmonary nodules classification using positron emission tomography and computed tomography scans

Agorastos-Dimitrios Samaras, Serafeim Moustakidis, Ioannis D. Apostolopoulos, Elpiniki Papageorgiou, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos Papandrianos

Journal of Intelligent Systems — Vol. 35, No. 1 10.1515/jisys-2025-0064

MedScanGAN: Synthetic PET & CT Scan Generation Using Conditional Generative Adversarial Networks for Medical AI Data Augmentation

Agorastos-Dimitrios Samaras, Ioannis D. Apostolopoulos, Nikolaos Papandrianos

Bioengineering — Vol. 13, No. 3, pp. 281 10.3390/bioengineering13030281

XAI Suite and Evidence-based AI validation tools

A cross-domain workbench for building, explaining and — critically — validating AI models before anyone trusts them. It couples model…

A machine learning approach for determining solitary pulmonary nodule malignancy in patients undergoing PET/CT examination

Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Elpiniki I. Papageorgiou, Nikolaos Papandrianos

Multimedia Tools and Applications — Vol. 84, No. 32, pp. 39905-39924 10.1007/s11042-025-20737-x

Clinical validation of the EMERALD’s MDSS t the University Hospital of Patras

On April 1st, 2025, the developed Medical Decision Support System (MDSS) was clinically validated at the University Hospital of Patras,…

Fuzzy Cognitive Explainable Analytics for Translating Model Complexity in Nuclear Medical Diagnosis (EMERALD)

EMERALD takes a unique, holistic approach to patient-specific predictive modeling and MDSS development by extracting and integrating knowledge from new…

High Impact Publication in European Journal of Nuclear Medicine and Molecular Imaging

Applications of Generative Adversarial Networks (GANs) in Positron Emission Tomography (PET) imaging: A review Ioannis D Apostolopoulos, Nikolaos D Papathanasiou,…

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

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 Papandrianos, Elpiniki I. Papageorgiou

Big Data and Cognitive Computing — Vol. 8, No. 8, pp. 85 10.3390/bdcc8080085

Integrating Machine Learning in Clinical Practice for Characterizing the Malignancy of Solitary Pulmonary Nodules in PET/CT Screening

Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos Papandrianos, Elpiniki I. Papageorgiou

Diseases — Vol. 12, No. 6, pp. 115 10.3390/diseases12060115

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

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

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

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

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

Applications of Generative Adversarial Networks (GANs) in Positron Emission Tomography (PET) imaging: A review

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

European Journal of Nuclear Medicine and Molecular Imaging — Vol. 49, No. 11, pp. 3717-3739 10.1007/s00259-022-05805-w

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

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 & Biological Engineering & Computing — Vol. 59, No. 6, pp. 1299-1310 10.1007/s11517-021-02378-y

Classification of lung nodule malignancy in computed tomography imaging utilising generative adversarial networks and semi-supervised transfer learning

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

Biocybernetics and Biomedical Engineering — Vol. 41, No. 4, pp. 1243-1257 10.1016/j.bbe.2021.08.006

Diagnostics

Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou and George S. Panayiotakis

Diagnostics 10.3390/diagnostics