PUBLICATIONS

[P1].

Apostolopoulos ID, Aznaouridis SI, Tzani MA. Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases. J Med Biol Eng. 2020 🔓

[P2].

Apostolopoulos ID, Groumpos PP. Non - invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps. Computer Methods in Biomechanics and Biomedical Engineering. 2020 🔓

[P3].

Apostolopoulos ID, Tzani MA. Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks. Phys Eng Sci Med. 2020 🔓

[P4].

Apostolopoulos ID, Papathanasiou ND, Spyridonidis T, Apostolopoulos DJ. Automatic characterization of myocardial perfusion imaging polar maps employing deep learning and data augmentation, Hellenic Journal of Nuclear Medicine. 2020 🔓

[P5].

Apostolopoulos ID, Papathanasiou ND, Spyridonidis T, Apostolopoulos DJ, Panayiotakis G. Multi-Input Deep Learning Approach for Cardiovascular Disease Diagnosis using Myocardial Perfusion Imaging and Clinical Data, European Journal of Medical Physics. 2021 🔓

[P6].

Apostolopoulos ID, Groumpos PP, Apostolopoulos DJ. Advanced fuzzy cognitive maps: state space and rule-based methodology for coronary artery disease detection, Biomedical Physics & Engineering Express. 2021 🔓

[P7].

Apostolopoulos ID, Pintelas GE, Livieris EI, Apostolopoulos DJ, Papathanasiou DN, Pintelas EP, Panayiotakis SG.  Automatic Classification of Solitary Pulmonary Nodules in PET/CT imaging employing Transfer Learning techniques, Med Biol Eng Comput. 2021 🔓

[P8].

Apostolopoulos ID, Papathanasiou ND, Panayiotakis GS. Classification of lung nodule malignancy in computed tomography imaging utilising generative adversarial networks and semi-supervised transfer learning, Biocybernetics and Biomedical Engineering. 2021 🔓

[P9].

Groumpos PP, Apostolopoulos ID. Modeling the spread of dangerous pandemics with the utilization of a Hybrid Statistical- Advanced-Fuzzy-Cognitive-Map algorithm: the example of COVID-19, Research on Biomedical Engineering. 2021 🔓

[P10].

Apostolopoulos ID, Tzani MA. Industrial object and defect recognition utilizing multilevel feature extraction from industrial scenes with Deep Learning approach, Journal of Ambient Intelligence and Humanized Computing. 2022 🔓

[P11].

Apostolopoulos ID, Papandrianos I, Feleki A, Moustakidis S, Papageorgiou E, Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies: A review, EJNMMI Physics, 2023 🔓

[P12].

Apostolopoulos ID, Papathanasiou ND, Apostolopoulos DJ, Panayiotakis GS. Applications of Generative Adversarial Networks (GANs) in Positron Emission Tomography (PET) imaging: A review. Eur J Nucl Med Mol Imaging. 2022 🔓

[P13].

Apostolopoulos ID, Apostolopoulos DJ, Papathanasiou ND. Deep Learning Methods to Reveal Important X-ray Features in COVID-19 Detection: Investigation of Explainability and Feature Reproducibility. Reports. 2022 🔓

[P14].

Papandrianos NI, Apostolopoulos ID, Feleki A, Apostolopoulos DJ, Papageorgiou EI. Deep Learning exploration for SPECT MPI polar map images classification in Coronary Artery Disease, Annals of Nuclear Medicine, 2022 🔓

[P15].

Papandrianos NI, Feleki A, Moustakidis S, Papageorgiou E, Apostolopoulos ID, Apostolopoulos DJ, An explainable classification method of SPECT myocardial perfusion images in nuclear cardiology using deep learning and Grad-Cam, Applied Sciences, 2022 🔓

[P16].

Apostolopoulos ID, Papathanasiou ND, Apostolopoulos DJ, A Deep Learning methodology for the detection of abnormal Parathyroid Glands from scintigraphy with 99mTc-sestamibi, Diseases, 2022 🔓

[P17].

Apostolopoulos ID, Papandrianos NI, Papageorgiou EI, Apostolopoulos DJ, Artificial Intelligence Methods for Identifying and Localizing Abnormal Parathyroid Glands: A Review Study, Mach. Learn. Knowl. Extr., 2022 🔓

[P18].

Apostolopoulos ID, Papathanasiou ND, Papandrianos NI, Papageorgiou EI, Panayiotakis GS, Deep Learning assessment for mining important medical image features of various modalities, Diagnostics, 2022 🔓

[P19].

Papandrianos NI, Apostolopoulos ID, Feleki A, Moustakidis S, Kokkinos K, Papageorgiou EI, AI-based classification algorithms in SPECT myocardial perfusion imaging for cardiovascular diagnosis: A review, Nuclear Medicine Communications, 2022 🔓

[P20].

Apostolopoulos DJ, Apostolopoulos ID, Papathanasiou ND, Spyridonidis T, Panayiotakis GS, Detection and localisation of abnormal parathyroid glands: An explainable Deep Learning approach, Algorithms, 2022 🔓

[P21].

Apostolopoulos ID, Athanasoula I, Tzani M, Groumpos P, An explainable Deep Learning framework for detecting and localizing smoke and fire incidents: evaluation of Grad-CAM++ and LIME, MAKE, 2022 🔓

[P22].

Apostolopoulos ID, Fouskas G, Pandis SN, Field calibration of a low-cost Air Quality monitoring device in a southeastern European site using Machine Learning models, Atmosphere, 2023 🔓

[P23].

Apostolopoulos ID, Groumpos PP,  Fuzzy Cognitive Maps: Their Role in Explainable Artificial Intelligence, Applied Sciences, 2023 🔓

[P24].

Apostolopoulos ID, Aznaouridis S, Tzani M, An attention-based Deep Convolutional Neural Network for brain tumour and disorder classification and grading in Magnetic Resonance Imaging, Information, 2023 🔓

[P25].

Samaras AD, Moustakidis S, Apostolopoulos ID, Papandrianos NI, Papageorgiou EI,  Classification Models for Assessing Coronary Artery Disease Instances Using Clinical and Biometric Data: An explainable man-in-the-loop approach, Scientific Reports, 2023 🔓

[P26].

Samaras AD, Moustakidis S, Apostolopoulos ID, Papandrianos NI, Papageorgiou EI,  Uncovering the Black Box of Coronary Artery Disease Diagnosis: The Significance of Explainability in Predictive Models, Applied Sciences, 2023 🔓

[P27].

Apostolopoulos ID, Papathanasiou ND, Papandrianos NI, Papageorgiou EI, Apostolopoulos DJ,  Innovative attention-based explainable feature-fusion VGG19 network for characterising Myocardial Perfusion Imaging SPECT Polar Maps in patients with suspected Coronary Artery Disease,  Applied Sciences, 2023 🔓

[P28].

Apostolopoulos DJ, Apostolopoulos ID, Papathanasiou ND, Spyridonidis T, Panayiotakis GS,  Explainable Artificial Intelligence Method (ParaNet+) localises Abnormal Parathyroid Glands in Scintigraphic Scans of Patients with Primary Hyperparathyroidism,  Algorithms, 2023 🔓

[P29].

Apostolopoulos ID, Aznaouridis S, Tzani M,  A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features, AI, 2023 🔓

[P30].

Feleki A, Apostolopoulos ID, Moustakidis S, Papageorgiou E, Papathanasiou N, Apostolopoulos D, Papandrianos N, Explainable DeepFCM Diagnosis of Coronary Artery Disease: Integrating MPI Imaging, Clinical Data, and Natural Language Insights, Applied Sciences, 2023, 🔓