| Deep learning for diabetic retinopathy detection and classification based on fundus images: A review N Tsiknakis, D Theodoropoulos, G Manikis, E Ktistakis, O Boutsora, ... Computers in biology and medicine 135, 104599, 2021 | 253 | 2021 |
| & Marias, K.(2021). Deep learning for diabetic retinopathy detection and classification based on fundus images: A review N Tsiknakis, D Theodoropoulos, G Manikis, E Ktistakis, O Boutsora, ... Computers in biology and medicine 104599, 0 | 10 | |
| TwiFly: a data analysis framework for Twitter P Chatziadam, A Dimitriadis, S Gikas, I Logothetis, M Michalodimitrakis, ... Information 11 (5), 247, 2020 | 6 | 2020 |
| The Current Status of Noninvasive Intracranial Pressure Monitoring: A Literature Review D Theodoropoulos, DA Karabetsos, V Antonios, P Efrosini, A Karantanas, ... Clinical Neurology and Neurosurgery, 108209, 2024 | 4* | 2024 |
| Semantic Segmentation of Diabetic Retinopathy Lesions, Using a UNET with Pretrained Encoder GP Dimitrios Theodoropoulos ,G Manikis,Kostantinos Marias International Conference on Engineering Applications of Neural Networks EANN …, 2022 | | 2022 |
| Semantic segmentation of diabetic retinopathy lesions, using a UNET with pretrained encoder THESIS D Theodoropoulos H.M.U., School of Engineering (ScENG) MSc in Informatics & Multimedia, 2022 | | 2022 |
| Semantic Segmentation of Diabetic Retinopathy Lesions, Using a UNet with MobileNetV2 as Pretrained Encoder. D Theodoropoulos Department of Physics, University of Crete, 0 | | |
