| Covid-19: automatic detection from x-ray images utilizing transfer learning with convolutional neural networks ID Apostolopoulos, TA Mpesiana Physical and engineering sciences in medicine 43, 635-640, 2020 | 2325 | 2020 |
| Extracting possibly representative COVID-19 biomarkers from X-ray images with deep learning approach and image data related to pulmonary diseases ID Apostolopoulos, SI Aznaouridis, MA Tzani Journal of Medical and Biological Engineering 40, 462-469, 2020 | 340 | 2020 |
| Covid-19: automatic detection from x-ray images utilizing transfer learning with convolutional neural networks. Physical and Engineering Sciences in Medicine. 2020 ID Apostolopoulos, TA Mpesiana arXiv preprint arXiv:2003.11617, 2020 | 47* | 2020 |
| Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks. Phys Eng Sci Med. 2020 ID Apostolopoulos, TA Mpesiana | 44 | |
| 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 14 (8), 10263-10276, 2023 | 23 | 2023 |
| Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19 ID Apostolopoulos, M Tzani arXiv preprint arXiv:2011.11305, 2020 | 8 | 2020 |
| Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks. Phys Eng Sci Med 43 (2): 635–640 ID Apostolopoulos, TA Mpesiana | 8 | 2020 |
| Building a Virtual Reality Fire Environment based on Fire Dynamic Simulator M Tzani, J Besharat, V Charalampous, C Stylios 2020 International Conference on Information Technologies (InfoTech), 1-5, 2020 | 7 | 2020 |
