| Phase recovery and holographic image reconstruction using deep learning in neural networks Y Rivenson, Y Zhang, H Günaydın, D Teng, A Ozcan Light: Science & Applications 7 (2), 17141-17141, 2018 | 936 | 2018 |
| Deep learning enables cross-modality super-resolution in fluorescence microscopy H Wang, Y Rivenson, Y Jin, Z Wei, R Gao, H Günaydın, LA Bentolila, ... Nature methods 16 (1), 103-110, 2019 | 689 | 2019 |
| Deep learning microscopy Y Rivenson, Z Göröcs, H Günaydin, Y Zhang, H Wang, A Ozcan Optica 4 (11), 1437-1443, 2017 | 664 | 2017 |
| Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning Y Rivenson, H Wang, Z Wei, K de Haan, Y Zhang, Y Wu, H Günaydın, ... Nature biomedical engineering 3 (6), 466-477, 2019 | 537 | 2019 |
| Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recovery Y Wu, Y Rivenson, Y Zhang, Z Wei, H Günaydin, X Lin, A Ozcan Optica 5 (6), 704-710, 2018 | 329 | 2018 |
| Deep learning enhanced mobile-phone microscopy Y Rivenson, H Ceylan Koydemir, H Wang, Z Wei, Z Ren, H Günaydın, ... Acs Photonics 5 (6), 2354-2364, 2018 | 191 | 2018 |
| Generative Adversarial Networks Enable Cross-Modality Super-Resolution in Fluorescence Microscopy H Wang, Y Rivenson, Y Jin, Z Wei, R Gao, H Günaydın, LA Bentolila, ... Microscopy and Microanalysis 25 (S2), 1228-1229, 2019 | 1 | 2019 |
| Deep-learning enables cross-modality super-resolution in fluorescence microscopy (Conference Presentation) H Wang, Y Rivenson, Y Jin, Z Wei, R Gao, H Günaydın, LA Bentolila, ... Optical Data Science II 10937, 109370G, 2019 | 1 | 2019 |
| Deep learning-based super-resolution and image transformation into structured illumination microscopy H Wang, Y Rivenson, Y Jin, Z Wei, R Gao, H Günaydın, LA Bentolila, ... Microscopy Histopathology and Analytics, MM3A. 4, 2020 | | 2020 |
Aydogan OzcanChancellor's Professor at UCLA & HHMI ProfessorVerified email at ucla.edu
