Medicine

AIRIN receives Gold and Platinum distinctions at the AI & Data Awards 2026

I’m happy to share that our project AIRIN: Medical Decision Support System for Explainable AI-driven Diagnosis of Ophthalmic Diseases was…

Artificial Intelligence for Refractive Error Prediction in Children

Theodora Gianni, Anna Nikolaidou, Athanasia Sandali, Andreas Katsimpris, Ioannis D. Apostolopoulos, Lampros Lamprogiannis, Eirini Maliagkani Invest. Ophthalmol. Vis. Sci. 2026;67(7):621.

ARVO 2026 Annual Meeting — May 3-7, 2026, Denver, Colorado, USA

Artificial Intelligence prediction algorithms for refractive error onset and progression in children and adolescents: a systematic review and meta-analysis

Maliagkani et al.

Acta Opthalmologica

Best Oral Presentation Award

21st Vitreous Retina Conference, 29-31 January, 2026, Athens, Greece Chatzara A., et al., Μελέτη της απόδοσης των μοντέλων τεχνητής νοημοσύνης…

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

Eirini Maliagkani, Ilias Georgalas, Ioannis Datseris, Elpiniki Papageorgiou, Ioannis D. Apostolopoulos

Journal of Imaging — Vol. 12, No. 5, pp. 211 10.3390/jimaging12050211

Explainable Deep Learning Self-Supervised Vision Transformer for Fundus-Based Myopia Classification

Maliagkani et al.

Acta Opthalmologica

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

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

Applied Sciences — Vol. 16, No. 11, pp. 5444 10.3390/app16115444

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

Gold Award – AI&DATA AWARDS 2026

AI & Data Awards 2026 powered by UBITECH, 27 January, 2026, Athens, Greece AIRIN Team – Gold Award in Best…

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

Platinum Award – AI&DATA AWARDS 2026

AI & Data Awards 2026 powered by UBITECH, 27 January, 2026, Athens, Greece AIRIN Team – Platinum Award in AI…

SFB/TRR 205 “The Adrenal: Central Relay in Health and Disease”, Project B12

Project B12 Neural-crest derived catecholamine producing tumours: implementation of molecular and metabolic fingerprints to predict disease progression and therapeutic response…

ΜΕΛΕΤΗ ΤΗΣ ΑΠΟΔΟΣΗΣ ΤΩΝ ΜΟΝΤΕΛΩΝ ΤΕΧΝΗΤΗΣ ΝΟΗΜΟΣΥΝΗΣ ΣΤΟ SEGMENTATION ΤΗΣ ΓΕΩΓΡΑΦΙΚΗΣ ΑΤΡΟΦΙΑΣ

Maliagkani E., et al.

21ο Πανελλήνιο Συνέδριο Υαλοειδούς Αμφιβληστροειδούς (GVRS 2026) — January 29-31, Athens, Greece

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

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

Ioannis D. Apostolopoulos, Nikolaοs Ι. Papandrianos, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos

Applied Sciences — Vol. 15, No. 20, pp. 11287 10.3390/app152011287

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

Eirini Maliagkani, Petroula Mitri, Dimitra Mitsopoulou, Andreas Katsimpris, Ioannis D. Apostolopoulos, Athanasia Sandali, Konstantinos Tyrlis, Nikolaos Papandrianos, Ilias Georgalas

Applied Sciences — Vol. 15, No. 22, pp. 12280 10.3390/app152212280

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 — Vol. 12, No. 5, pp. 475 10.3390/bioengineering12050475

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,…

Editorial Role at the Journal of Medical Systems

I’m honored to share that I have been appointed as an Associate Editor for the Journal of Medical Systems! This…

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

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,…

High-impact publication in eClinicalMedicine, part of THE LANCET

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

Highly-cited Publication about COVID-19 (1800+ citations)

Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks Ioannis D Apostolopoulos, Mpesi Tzani February 2023…

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 — Vol. 55, No. 13 10.1007/s10489-025-06795-6

Ranked 2nd most cited University of Patras papers referring to the COVID-19 disease

Source: University of Patras

Silver award in AI & Data Awards 2025

The Artificial Intelligence, Computational Systems, and Technological Applications Laboratory (ACTA Lab) of the University of Thessaly, directed by Professor of Artificial Intelligence and Expert…

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

Eirini Maliagkani, Vyron Michalakis, Ioannis D Apostolopoulos, Konstantinos Tyrlis, Ilias Georgalas

Cureus 10.7759/cureus.97419

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

Christina Pamporaki, Georg Pommer, Ioannis D. Apostolopoulos, Angelos Filippatos, Mirko Peitzsch, Hanna Remde, Georgiana Constantinescu, Annika M.A. Berends, Matthew A. Nazari, Felix Beuschlein, Martin Fassnacht, Aleksander Prejbisz, Karel Pacak, Graeme Eisenhofer

eClinicalMedicine — Vol. 82, pp. 103181 10.1016/j.eclinm.2025.103181

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

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 and Elpiniki Papageorgiou

Bioengineering — 11(10), 957 10.3390/bioengineering11100957/s1

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 — Vol. 11, No. 2, pp. 139 10.3390/bioengineering11020139

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

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

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

Ioannis D. Apostolopoulos, Mpesi Tzani, Sokratis I. Aznaouridis

AI — Vol. 4, No. 4, pp. 812-830 10.3390/ai4040041

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

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 — Vol. 44, No. 1, pp. 1-11 10.1097/mnm.0000000000001634

An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging

Ioannis D. Apostolopoulos, Sokratis Aznaouridis, Mpesi Tzani

Information — Vol. 14, No. 3, pp. 174 10.3390/info14030174

Best Poster Award

Εντοπισμός παθολογικών παραθυρεοειδών αδένων σε σπινθηρογραφήματα με χρήση προηγμένων μεθόδων τεχνητής νοημοσύνης και οπτικών επεξηγήσεων The 16th Panhellenic Conference on…

Classification models for assessing coronary artery disease instances using clinical and biometric data: an explainable man-in-the-loop approach

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

Scientific Reports — Vol. 13, No. 1 10.1038/s41598-023-33500-9

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

Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies

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

EJNMMI Physics — Vol. 10, No. 1 10.1186/s40658-022-00522-7

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

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 — Vol. 16, No. 9, pp. 435 10.3390/a16090435

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

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 — Vol. 13, No. 21, pp. 11953 10.3390/app132111953

Field Calibration of a Low-Cost Air Quality Monitoring Device in an Urban Background Site Using Machine Learning Models

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

Atmosphere — Vol. 14, No. 2, pp. 368 10.3390/atmos14020368

Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence

Ioannis D. Apostolopoulos, Peter P. Groumpos

Applied Sciences — Vol. 13, No. 6, pp. 3412 10.3390/app13063412

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 — Vol. 13, No. 15, pp. 8839 10.3390/app13158839

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 — Vol. 13, No. 14, pp. 8120 10.3390/app13148120

A Deep Learning Methodology for the Detection of Abnormal Parathyroid Glands via Scintigraphy with 99mTc-Sestamibi

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

Diseases — Vol. 10, No. 3, pp. 56 10.3390/diseases10030056

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 — Vol. 12, No. 15, pp. 7592 10.3390/app12157592

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

Machine Learning and Knowledge Extraction — Vol. 4, No. 4, pp. 1124-1135 10.3390/make4040057

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

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

Machine Learning and Knowledge Extraction — Vol. 4, No. 4, pp. 814-826 10.3390/make4040040

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 Nuclear Medicine — Vol. 36, No. 9, pp. 823-833 10.1007/s12149-022-01762-4

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

Deep Learning Methods to Reveal Important X-ray Features in COVID-19 Detection: Investigation of Explainability and Feature Reproducibility

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

Reports — Vol. 5, No. 2, pp. 20 10.3390/reports5020020

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 — Vol. 15, No. 12, pp. 455 10.3390/a15120455

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

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

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

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

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

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

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

Ioannis D Apostolopoulos, Peter P Groumpos, Dimitris J Apostolopoulos

Biomedical Physics & Engineering Express — Vol. 7, No. 4, pp. 045007 10.1088/2057-1976/abfd83

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

CORONARY ARTERY DISEASE DIAGNOSIS USING MYOCARDIAL PERFUSION IMAGING POLAR MAPS AND DEEP LEARNING METHODS

15th Panhellenic Conference of Nuclear Medicine — May 27-30, 2021, Online 10.13140/RG.2.2.27879.57768

Modeling the spread of dangerous pandemics with the utilization of a hybrid-statistical–Advanced-Fuzzy-Cognitive-Map algorithm: the example of COVID-19

Peter P. Groumpos, Ioannis D. Apostolopoulos

Research on Biomedical Engineering — Vol. 37, No. 4, pp. 749-764 10.1007/s42600-021-00182-z

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

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

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

Ioannis D. Apostolopoulos, Tzani A. Mpesiana

Physical and Engineering Sciences in Medicine — Vol. 43, No. 2, pp. 635-640 10.1007/s13246-020-00865-4

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

Ioannis D. Apostolopoulos, Sokratis I. Aznaouridis, Mpesiana A. Tzani

Journal of Medical and Biological Engineering — Vol. 40, No. 3, pp. 462-469 10.1007/s40846-020-00529-4

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

Ioannis D. Apostolopoulos, Peter P. Groumpos

Computer Methods in Biomechanics and Biomedical Engineering — Vol. 23, No. 12, pp. 879-887 10.1080/10255842.2020.1768534

A DECISION MAKING SUPPORT SYSTEM IN NUCLEAR MEDICINE USING FUZZY COGNITIVE MAPS

Apostolopoulos I.D. et al.

7o ΠΑΝΕΛΛΗΝΙΟ ΣΥΝΕΔΡΙΟ ΒΙΟΪΑΤΡΙΚΗΣ ΤΕΧΝΟΛΟΓΙΑΣ — April 7, 2017, Athens, Greece 10.13140/RG.2.2.26912.94724

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

Diagnostics

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

Diagnostics 10.3390/diagnostics