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Journal Papers

Editorial and Review activity

2026 year

Explainable YOLOv8 model for Solitary Pulmonary Nodules Classification using Positron Emission Tomography and Computed Tomography Scans

Agorastos D.S., et al

Journal of Intelligent Systems 10.1515/jisys-2025-0064

Deep Learning Explainable AI
2026 year

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

Samaras et al.

Bioengineering 13(3), 281 10.3390/bioengineering13030281

Deep Learning Generative AI
2026 year

Clinician-Centered Evaluation Framework for Explainable AI Heatmaps in OCT-Based Retinal Disease Classification

Maliagkani, E.; Georgalas, I.; Datseris, I.; Papageorgiou, E.; Apostolopoulos, I.D.

Imaging 12, 211 10.3390/jimaging12050211

Deep Learning Explainable AI
2026 year

Explainable Machine Learning Prognosis of Coronary Artery Disease Using Lifestyle and Medical History Data

Samaras, A.-D., Apostolopoulos, I. D., Papageorgiou, E., & Papandrianos, N.

Applied Sciences 16(11), 5444 10.3390/app16115444

Explainable AI Machine Learning
2025 year

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 10.1007/s11042-025-20737-x

Explainable AI Machine Learning
2025 year

Utility of disease probability scores to guide decision-making during screening for phaeochromocytoma and paraganglioma: a machine learning modelling cross sectional study

Pamporaki, C., Pommer, G., Apostolopoulos, I.D., Filippatos, A., Peitzsch, M., Remde, H., Constantinescu, G., Berends, A.M., Nazari, M.A., Beuschlein, F. and Fassnacht, M.

eClinicalMedicine part of The LANCET 10.1016/j.eclinm.2025.103181

Explainable AI Machine Learning
2025 year

Monitoring of Indoor Air Quality in a Classroom Combining a Low-Cost Sensor System and Machine Learning

Apostolopoulos, I.D.; Dovrou, E.; Androulakis, S.; Seitanidi, K.; Georgopoulou, M.P.; Matrali, A.; Argyropoulou, G.; Kaltsonoudis, C.; Fouskas, G.; Pandis, S.N.

Chemosensors 13, 148 10.3390/chemosensors13040148

Machine Learning Sensors
2025 year

Artificial Intelligence Approaches for Geographic Atrophy Segmentation: A Systematic Review and Meta-Analysis

Aikaterini Chatzara, Eirini Maliagkani, Dimitra Mitsopoulou, Andreas Katsimpris, Ioannis D Apostolopoulos, Elpiniki Papageorgiou, Ilias Georgalas

Bioengineering 12(5), 475 10.3390/bioengineering12050475

Machine Learning
2025 year

Neural-FCM: A Deep Learning Approach for Weight Matrix Optimization in Fuzzy Cognitive Map Classifiers

Theodoros Tziolas, Konstantinos Papageorgiou, Ioannis Apostolopoulos & Elpiniki Papageorgiou

Applied Intelligence Volume 55, article number 948 10.1007/s10489-025-06795-6

Explainable AI Fuzzy Cognitive Maps
2025 year

A Review on SPECT Myocardial Perfusion Imaging Attenuation Correction using Deep Learning

Ioannis D. Apostolopoulos, Nikolas Papandrianos, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos

Applied Sciences 10.3390/app152011287

Deep Learning Explainable AI Machine Learning
2025 year

Improving Real-time High-Resolution Estimates of PM2.5 Concentration Fields in Urban Areas by the SmartAQ+ System with Data Fusion and Machine Learning

Apostolopoulos I.D., Siouti E., Fouskas G., Pandis S.N.

Atmospheric Environment 364 10.1016/j.atmosenv.2025.121665

Explainable AI Machine Learning Sensors
2025 year

Artificial Intelligence Algorithms for Epiretinal Membrane Detection, Segmentation and Postoperative BCVA Prediction: A Systematic Review and Meta-Analysis

Maliagkani E. et al.

Applied Sciences 10.3390/app152212280

Deep Learning Explainable AI
2025 year

The Role of Artificial Intelligence in the Diagnosis, Segmentation, and Prediction of Retinal Vein Occlusion: A Systematic Review

Maliagkani E. et al.

Cureus 10.7759/cureus.97419

Deep Learning Explainable AI Machine Learning
2024 year

Fuzzy Cognitive Map applications in medicine over the last two decades: A review study

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

Bioengineering 10.3390/bioengineering11020139

Deep Learning Machine Learning
2024 year

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 10.3390/diseases12060115

Deep Learning Machine Learning
2024 year

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 10.3390/s24134110

Machine Learning Sensors
2024 year

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 10.3390/bdcc8080085

Deep Learning Machine Learning
2024 year

Evaluation of air quality in a primary school classroom during wintertime

Eleni Dovrou, Christos Kaltsonoudis, Silas Androulakis, Ioannis Apostolopoulos, Andrea Simonati, Spyros N Pandis

Indoor Air 10.1155/ina/7888273

Sensors
2024 year

Between Two Worlds: Investigating the Intersection of Human Expertise and Machine Learning in the Case of Coronary Artery Disease Diagnosis

Ioannis D Apostolopoulos, Nikolaos I Papandrianos, Dimitrios J Apostolopoulos, Elpiniki Papageorgiou

Bioengineering 11(10), 957 10.3390/bioengineering11100957

Explainable AI Machine Learning
2023 year

Deep learning – enhanced nuclear medicine SPECT imaging applied on cardiac studies: A review

Ioannis D. Apostolopoulos, Nikolaos I Papandrianos, Anna Feleki, Serafeim Moustakidis, Elpiniki I Papageorgiou

EJNMMI Physics 10.1186/s40658-022-00522-7

Deep Learning Explainable AI Machine Learning
2023 year

Field calibration of a low-cost Air Quality monitoring device in a southeastern European site using Machine Learning models

Ioannis D. Apostolopoulos, George Fouskas, Spyros N Pandis

Atmosphere 10.3390/atmos14020368

Machine Learning Sensors
2023 year

Fuzzy Cognitive Maps (FCM): their role in eXplainable Artificial Intelligence (XAI)

Ioannis D. Apostolopoulos, PP Groumpos

Applied Sciences 10.3390/app13063412

Explainable AI Fuzzy Cognitive Maps
2023 year

An attention-based Deep Convolutional Neural Network for brain tumour and disorder classification and grading in Magnetic Resonance Imaging

Ioannis D. Apostolopoulos, S Aznaouridis, M Tzani

Information 10.3390/info14030174

Deep Learning Machine Learning
2023 year

Classification Models for Assessing Coronary Artery Disease Instances Using Clinical and Biometric Data: A man-in-the-loop approach

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

Scientific Reports 10.1038/s41598-023-33500-9

Explainable AI Machine Learning
2023 year

Uncovering the Black Box of Coronary Artery Disease Diagnosis: The Significance of Explainability in Predictive Models

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

Applied Sciences 10.3390/app13148120

Explainable AI Machine Learning
2023 year

Innovative attention-based explainable feature-fusion VGG19 network for characterising Myocardial Perfusion Imaging SPECT Polar Maps in patients with suspected Coronary Artery Disease

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

Applied Sciences 10.3390/app13158839

Deep Learning Machine Learning
2023 year

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 10.3390/a16090435

Deep Learning Explainable AI Machine Learning
2023 year

A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features

Ioannis D. Apostolopoulos, M Tzani, S Aznaouridis

AI 10.3390/ai4040041

Deep Learning Machine Learning
2023 year

Explainable deep fuzzy cognitive map diagnosis of coronary artery disease: Integrating myocardial perfusion imaging, clinical data, and natural language insights

Anna Feleki, Ioannis D. Apostolopoulos, Serafeim Moustakidis, Elpiniki I Papageorgiou, Nikolaos Papathanasiou, Dimitrios Apostolopoulos, Nikolaos Papandrianos

Applied Sciences 10.3390/app132111953

Deep Learning Explainable AI Fuzzy Cognitive Maps Machine Learning
2023 year

Prediction of the concentration and source contributions of PM2.5 and gas-phase pollutants in an urban area with the SmartAQ forecasting system

Evangelia Siouti, Ksakousti Skyllakou, Ioannis Kioutsioukis, DavIoannis D. Patoulias, Ioannis D. Apostolopoulos, George Fouskas, Spyros N Pandis

Atmosphere 10.3390/atmos15010008

Machine Learning Sensors
2022 year

Industrial object and defect recognition utilizing multilevel feature extraction from industrial scenes with Deep Learning approach

Ioannis D. Apostolopoulos, MA Tzani

Ambient Intelligence and Humanized Computing 10.1007/s12652-021-03688-7

Deep Learning Machine Learning
2022 year

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 10.1007/s00259-022-05805-w

Deep Learning Generative AI Machine Learning
2022 year

Deep Learning methods to reveal important X-Ray features in COVID-19 detection: investigation of explainability and fea-ture reproducibility

Ioannis D. Apostolopoulos, DJ Apostolopoulos, ND Papathanasiou

Reports 10.3390/reports5020020

Deep Learning Explainable AI Machine Learning
2022 year

Deep Learning exploration for SPECT MPI polar map images classification in Coronary Artery Disease

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

Annals of Biomedical Engineering 10.1007/s12149-022-01762-4

Deep Learning Explainable AI Machine Learning
2022 year

An explainable classification method of SPECT myocardial perfusion images in nuclear cardiology using deep learning and Grad-Cam

Nikolaos I Papandrianos, Anna Feleki, Serafeim Moustakidis, Elpiniki I Papageorgiou, Ioannis D. Apostolopoulos, Dimitris J Apostolopoulos

Applied Sciences 10.3390/app12157592

Deep Learning Explainable AI Machine Learning
2022 year

A Deep Learning methodology for the detection of abnormal Parathyroid Glands from scintigraphy with 99mTc-sestamibi

Ioannis D. Apostolopoulos, ND Papathanasiou, DJ Apostolopoulos

Diseases 10.3390/diseases10030056

Deep Learning Explainable AI Machine Learning
2022 year

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

MAKE 10.3390/make4040040

Deep Learning Explainable AI Machine Learning
2022 year

AI-based classification algorithms in SPECT myocardial perfusion imaging for cardiovascular diagnosis: A review

Nikolaos I Papandrianos, Ioannis D. Apostolopoulos, Anna Feleki, Serafeim Moustakidis, Konstantinos Kokkinos, Elpiniki I Papageorgiou

Nuclear Medicine Communications 10.1097/MNM.0000000000001634

Deep Learning Explainable AI Machine Learning
2022 year

Deep Learning assessment for mining important medical image features of various modalities

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

Diagnostics 10.3390/diagnostics12102333

Deep Learning Explainable AI Machine Learning
2022 year

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 10.3390/a15120455

Deep Learning Explainable AI Machine Learning
2022 year

An explainable Deep Learning framework for detecting and localising smoke and fire incidents: evaluation of Grad-CAM++ and LIME

Ioannis D. Apostolopoulos, I Athanasoula, M Tzani, PP Groumpos

MAKE 10.3390/make4040057

Deep Learning Explainable AI Machine Learning
2021 year

Multi-Input Deep Learning Approach for Cardiovascular Disease Diagnosis using Myocardial Perfusion Imaging and Clinical Data

Ioannis D. Apostolopoulos, Dimitris I. Apostolopoulos, Trifon I. Spyridonidis, Nikolaos D. Papathanasiou, George S. Panayiotakis

Physica Medica 10.1016/j.ejmp.2021.04.011

Deep Learning Machine Learning
2021 year

Advanced fuzzy cognitive maps: state space and rule-based methodology for coronary artery disease detection

Ioannis D. Apostolopoulos, G Peter

Biomedical Physics & Engineering Express 10.1088/2057-1976/abfd83

Explainable AI Fuzzy Cognitive Maps
2021 year

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 and Biological Engineering and Computing 10.1007/s11517-021-02378-y

Deep Learning Machine Learning
2021 year

Classification of Lung Nodule Malignancy in Computed Tomography Imaging utilising Generative Adversarial Networks and Semi-supervised Transfer Learning

Ioannis D. Apostolopoulos, ND Papathanasiou, GS Panayiotakis

Biocybernetics and Biomedical Enginnering 10.1016/j.bbe.2021.08.006

Deep Learning Generative AI Machine Learning
2021 year

Modeling the spread of dangerous pandemics with the utilization of a Hybrid Statistical- Advanced-Fuzzy-Cognitive-Map algorithm: the example of COVID-19

PP Groumpos, Ioannis D. Apostolopoulos

Research on Biomedical Engineering 10.1007/s42600-021-00182-z

Explainable AI Fuzzy Cognitive Maps
2020 year

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Ioannis D. Apostolopoulos, M Tzani

Physical and Engineering Sciences in Medicine 10.1007/s13246-020-00865-4

Deep Learning Machine Learning
2020 year

Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases

Ioannis D. Apostolopoulos, S Aznaouridis, M Tzani

Journal of Medical and Biological Engineering 10.1007/s40846-020-00529-4

Deep Learning Machine Learning
2020 year

Non – invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps

Ioannis D. Apostolopoulos, G Peter

Computer Methods in Biomechanics and Biomedical Engineering 10.1080/10255842.2020.1768534

Explainable AI Fuzzy Cognitive Maps
2020 year

Automatic characterization of myocardial perfusion imaging polar maps employing deep learning and data augmentation

Ioannis D. Apostolopoulos, Nikolaos D Papathanasiou, Trifon Spyridonidis, Dimitris J Apostolopoulos

Hellenic Journal of Nuclear Medicine 10.1967/s002449912101

Deep Learning Machine Learning
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