| An automatic skin lesion segmentation system with hybrid FCN-ResAlexNet S Barın, GE Güraksın Engineering Science and Technology, an International Journal 34, 101174, 2022 | 19 | 2022 |
| Accurate classification of heart sound signals for cardiovascular disease diagnosis by wavelet analysis and convolutional neural network: preliminary results AEF Malik, S Barin, ME Yüksel 2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020 | 11 | 2020 |
| Hybrid Convolutional neural network-based diagnosis system for intracranial hemorrhage S Barin, M Saribaş, BG Çiltaş, GE Güraksin, K Utku BRAIN. Broad Research in Artificial Intelligence and Neuroscience 12 (4), 01-27, 2021 | 7 | 2021 |
| COVID-19 diagnosis using deep learning GE Güraksın, S Barın, E Özgül, F Kaya Düzce Üniversitesi Bilim ve Teknoloji Dergisi 9 (3), 8-23, 2021 | 4 | 2021 |
| An improved hair removal algorithm for dermoscopy images S Barın, GE Güraksın Multimedia Tools and Applications 83 (3), 8931-8953, 2024 | 3 | 2024 |
| Detection of retinal diseases from ophthalmological images based on convolutional neural network architecture. SP Taş, S Barin, GE Güraksin Acta Scientiarum: Technology, 2023 | 2 | 2023 |
| An Augmented Reality-Based Mobile Application for Drug Prescribing Information System: ARPECTUS N Küçük, S Barin, GE Güraksin 2021 Medical Technologies Congress (TIPTEKNO), 1-4, 2021 | 2 | 2021 |
| Deep learning for ophthalmological images SP Taş, S Barin, GE Güraksin Deep Learning for Biomedical Applications, 101-119, 2021 | 2 | 2021 |
| Deri lezyonlarının derin öğrenme yöntemleri ile segmentasyonu S Barın Fen Bilimleri Enstitüsü, 2021 | 1 | 2021 |
| Farmakolojide İnovatif Yaklaşımlar ÖÜJ Akgöl HOLISTENCE PUBLICATIONS, 2021 | | 2021 |
