Deepcan: A modular deep learning system for automated cell counting and viability analysis F Eren, M Aslan, D Kanarya, Y Uysalli, M Aydin, B Kiraz, O Aydin, A Kiraz IEEE journal of biomedical and health informatics 26 (11), 5575-5583, 2022 | 12 | 2022 |
A deep learning model for automated segmentation of fluorescence cell images M Aydın, B Kiraz, F Eren, Y Uysallı, B Morova, SC Ozcan, C Acilan, ... Journal of Physics: Conference Series 2191 (1), 012003, 2022 | 5 | 2022 |
Classification of covid-19 x-ray images using tridiagonal matrix enhanced multivariance products representation (tmempr) F Eren, Z Gündoğar 2021 6th International Conference on Computer Science and Engineering (UBMK …, 2021 | 2 | 2021 |
An adaptive feature extraction method for classification of Covid-19 X-ray images Z Gündoğar, F Eren Signal, Image and Video Processing 17 (4), 899-906, 2023 | 1 | 2023 |
Few-Shot Learning for Segmentation of Yeast Cell Microscopy Images M Alkan, B Kıraz, F Eren, Y Uysalli, A Kıraz 2021 29th Signal Processing and Communications Applications Conference (SIU …, 2021 | 1 | 2021 |
Enhancing resolution and contrast in fibre bundle‐based fluorescence microscopy using generative adversarial network AM Ketabchi, B Morova, Y Uysalli, M Aydin, F Eren, N Bavili, D Pysz, ... Journal of Microscopy, 2024 | | 2024 |
Ayrıştırım Tabanlı Yöntemler İle Medikal Görüntülerin Sınıflandırılması F Eren Fatih Sultan Mehmet Vakıf Üniversitesi, Lisansüstü Eğitim Enstitüsü, 2021 | | 2021 |
Az Örnekli Öğrenme ile Mikroskobik Görüntülerden Maya Hücresi Segmentasyonu M Alkan, B Kiraz, F Eren, Y Uysallı, A Kiraz IEEE, 2021 | | 2021 |