Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks ID Apostolopoulos, M Tzani Physical and Engineering Sciences in Medicine, 2020 | 2440 | 2020 |
Extracting possibly representative COVID-19 Biomarkers from X-Ray images with Deep Learning approach and image data related to Pulmonary Diseases ID Apostolopoulos, S Aznaouridis, M Tzani Medical and Biological Engineering 40, 462–469, 2020 | 347 | 2020 |
Multi-input deep learning approach for Cardiovascular Disease diagnosis using Myocardial Perfusion Imaging and clinical data ID Apostolopoulos, DI Apostolopoulos, TI Spyridonidis, ... Physica Medica 84, 168-177, 2021 | 41 | 2021 |
Automatic characterization of myocardial perfusion imaging polar maps employing deep learning and data augmentation. ID Apostolopoulos, ND Papathanasiou, T Spyridonidis, ... Hellenic Journal of Nuclear Medicine, 125-132, 2020 | 40 | 2020 |
Industrial object and defect recognition utilizing multilevel feature extraction from industrial scenes with Deep Learning approach ID Apostolopoulos, MA Tzani Journal of Ambient Intelligence and Humanized Computing, 1-14, 2022 | 35* | 2022 |
Classification of lung nodule malignancy in computed tomography imaging utilising generative adversarial networks and semi-supervised transfer learning ID Apostolopoulos, ND Papathanasiou, GS Panayiotakis Biocybernetics and Biomedical Engineering 41 (4), 1243-1257, 2021 | 34 | 2021 |
Non-inasive modelling methodology for the diagnosis of Coronary Artery Disease using Fuzzy Cognitive Maps ID Apostolopoulos, G Peter Computer Methods in Biomechanics and Biomedical Engineering, 2020 | 25 | 2020 |
Automatic classification of solitary pulmonary nodules in PET/CT imaging employing transfer learning techniques ID Apostolopoulos, EG Pintelas, IE Livieris, DJ Apostolopoulos, ... Med Biol Eng Comput (2021), 2021 | 24 | 2021 |
An explainable classification method of SPECT myocardial perfusion images in nuclear cardiology using deep learning and grad-CAM NI Papandrianos, A Feleki, S Moustakidis, EI Papageorgiou, ... Applied Sciences 12 (15), 7592, 2022 | 23 | 2022 |
Applications of generative adversarial networks (GANs) in positron emission tomography (PET) imaging: A review ID Apostolopoulos, ND Papathanasiou, DJ Apostolopoulos, ... European Journal of Nuclear Medicine and Molecular Imaging 49 (11), 3717-3739, 2022 | 20 | 2022 |
Advanced fuzzy cognitive maps: state space and rule-based methodology for coronary artery disease detection ID Apostolopoulos, G Peter Biomedical Physics & Engineering Express, 2021 | 17* | 2021 |
Deep learning-enhanced nuclear medicine SPECT imaging applied to cardiac studies ID Apostolopoulos, NI Papandrianos, A Feleki, S Moustakidis, ... EJNMMI physics 10 (1), 6, 2023 | 15 | 2023 |
A Medical Decision Support System for the Prediction of the Coronary Artery Disease Using Fuzzy Cognitive Maps ID Apostolopoulos, PP Groumpos, DI Apostolopoulos Conference on Creativity in Intelligent Technologies and Data Science, 269-283, 2017 | 13 | 2017 |
Fuzzy cognitive maps: their role in explainable artificial intelligence ID Apostolopoulos, PP Groumpos Applied Sciences 13 (6), 3412, 2023 | 11 | 2023 |
Deep learning exploration for SPECT MPI polar map images classification in coronary artery disease NI Papandrianos, ID Apostolopoulos, A Feleki, DJ Apostolopoulos, ... Annals of Nuclear Medicine 36 (9), 823-833, 2022 | 11 | 2022 |
A Deep Learning Methodology for the Detection of Abnormal Parathyroid Glands via Scintigraphy with 99mTc-Sestamibi ID Apostolopoulos, ND Papathanasiou, DJ Apostolopoulos Diseases 10 (3), 56, 2022 | 10 | 2022 |
Classification models for assessing coronary artery disease instances using clinical and biometric data: an explainable man-in-the-loop approach AD Samaras, S Moustakidis, ID Apostolopoulos, N Papandrianos, ... Scientific Reports 13 (1), 6668, 2023 | 9 | 2023 |
An attention-based deep convolutional neural network for brain tumor and disorder classification and grading in magnetic resonance imaging ID Apostolopoulos, S Aznaouridis, M Tzani Information 14 (3), 174, 2023 | 9 | 2023 |
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, ID Apostolopoulos Research on Biomedical Engineering 37, 749-764, 2021 | 7 | 2021 |
Detection and localisation of abnormal parathyroid glands: an explainable deep learning approach DJ Apostolopoulos, ID Apostolopoulos, ND Papathanasiou, ... Algorithms 15 (12), 455, 2022 | 6 | 2022 |