A deep-learning approach for diagnosis of metastatic breast cancer in bones from whole-body scans N Papandrianos, E Papageorgiou, A Anagnostis, A Feleki Applied Sciences 10 (3), 997, 2020 | 74 | 2020 |
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 | 21 | 2022 |
Deep learning-based automated diagnosis for coronary artery disease using SPECT-MPI images NI Papandrianos, A Feleki, EI Papageorgiou, C Martini Journal of Clinical Medicine 11 (13), 3918, 2022 | 17 | 2022 |
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 | 13 | 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 |
Exploring classification of SPECT MPI images applying convolutional neural networks N Papandrianos, A Feleki, E Papageorgiou Proceedings of the 25th Pan-Hellenic Conference on Informatics, 483-489, 2021 | 11 | 2021 |
Explainable Deep Fuzzy Cognitive Map Diagnosis of Coronary Artery Disease: Integrating Myocardial Perfusion Imaging, Clinical Data, and Natural Language Insights A Feleki, ID Apostolopoulos, S Moustakidis, EI Papageorgiou, ... Applied Sciences 13 (21), 11953, 2023 | 5 | 2023 |
AI-based classification algorithms in SPECT myocardial perfusion imaging for cardiovascular diagnosis: a review NI Papandrianos, ID Apostolopoulos, A Feleki, S Moustakidis, K Kokkinos, ... Nuclear Medicine Communications 44 (1), 1-11, 2023 | 5 | 2023 |
Development of Convolutional Neural Networkbased models for bone metastasis classification in nuclear medicine NI Papandrianos, EI Papageorgiou, A Anagnostis, K Papageorgiou, ... 2020 11th International Conference on Information, Intelligence, Systems and …, 2020 | 4 | 2020 |
A Fuzzy Cognitive Map Learning Approach for Coronary Artery Disease Diagnosis in Nuclear Medicine A Feleki, ID Apostolopoulos, K Papageorgiou, EI Papageorgiou, ... Conference of the European Society for Fuzzy Logic and Technology, 14-25, 2023 | 1 | 2023 |
Deep Fuzzy Cognitive Maps for Defect Inspection in Antenna Assembly T Tziolas, K Papageorgiou, A Feleki, T Theodosiou, K Rapti, ... Procedia Computer Science 232, 97-106, 2024 | | 2024 |
Deep Fuzzy Cognitive Map methodology for Non-Small Cell Lung Cancer diagnosis based on Positron Emission Tomography imaging A Feleki, ID Apostolopoulos, E Papageorgiou, S Moustakidis, ... 2023 14th International Conference on Information, Intelligence, Systems …, 2023 | | 2023 |
Deep learning for automatic diagnosis of coronary artery disease using SPECT MPI images N Papandrianos, A Feleki, K Kokkinos, D Apostolopoulos, ... EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 49 (SUPPL 1 …, 2022 | | 2022 |
Explainable prediction of coronary artery disease in nuclear medical imaging using deep learning N Papandrianos, S Moustakidis, A Feleki, E Papageorgiou EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 49 (SUPPL 1 …, 2022 | | 2022 |
A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology NI Papandrianos, A Feleki, S Moustakidis, EI Papageorgiou 2022 13th International Conference on Information, Intelligence, Systems …, 2022 | | 2022 |
Assessing the effect of human factors in healthcare cyber security practice: An empirical study N Papandrianos, A Feleki, E Papageorgiou | | 2021 |
Bone metastasis classification in bone scintigraphy using densely-connected convolutional neural networks N Papandrianos, E Papageorgiou, A Anagnostis, A Feleki, ... EANM'20, 2020 | | 2020 |