| Deep learning-based transformation of H&E stained tissues into special stains K de Haan, Y Zhang, JE Zuckerman, T Liu, AE Sisk, MFP Diaz, KY Jen, ... Nature communications 12 (1), 1-13, 2021 | 152 | 2021 |
| Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue Y Zhang, K de Haan, Y Rivenson, J Li, A Delis, A Ozcan Light: Science & Applications 9 (1), 78, 2020 | 112 | 2020 |
| Deep learning-enabled virtual histological staining of biological samples B Bai, X Yang, Y Li, Y Zhang, N Pillar, A Ozcan Light: Science & Applications 12 (1), 57, 2023 | 67 | 2023 |
| Biopsy-free in vivo virtual histology of skin using deep learning J Li, J Garfinkel, X Zhang, D Wu, Y Zhang, K De Haan, H Wang, T Liu, ... Light: Science & Applications 10 (1), 233, 2021 | 63 | 2021 |
| Sustainable electronics based on crop plant extracts and graphene: a “bioadvantaged” approach P Cataldi, JA Heredia‐Guerrero, S Guzman‐Puyol, L Ceseracciu, ... Advanced Sustainable Systems 2 (11), 1800069, 2018 | 37 | 2018 |
| Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning B DoanNgan, DM Angus, LH Sung BME frontiers, 2022 | 30 | 2022 |
| Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data Y Zhang, T Liu, M Singh, E Çetintaş, Y Luo, Y Rivenson, KV Larin, ... Light: Science & Applications 10 (1), 155, 2021 | 27 | 2021 |
| A camouflage device without metamaterials F Sun, Y Zhang, J Evans, S He Progress In Electromagnetics Research 165, 107-117, 2019 | 21 | 2019 |
| Artificial intelligence-enabled quantitative phase imaging methods for life sciences J Park, B Bai, DH Ryu, T Liu, C Lee, Y Luo, MJ Lee, L Huang, J Shin, ... Nature Methods 20 (11), 1645-1660, 2023 | 17 | 2023 |
| Virtual stain transfer in histology via cascaded deep neural networks X Yang, B Bai, Y Zhang, Y Li, K de Haan, T Liu, A Ozcan ACS Photonics 9 (9), 3134-3143, 2022 | 16 | 2022 |
| Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks Y Zhang, L Huang, T Liu, K Cheng, K de Haan, Y Li, B Bai, A Ozcan Intelligent Computing, 2022 | 13 | 2022 |
| Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning T Liu, Y Li, HC Koydemir, Y Zhang, E Yang, M Eryilmaz, H Wang, J Li, ... Nature Biomedical Engineering 7 (8), 1040-1052, 2023 | 8 | 2023 |
| Deep learning-based transformation of H&E stained tissues into special stains. Nat Commun 12: 4884 K de Haan, Y Zhang, JE Zuckerman, T Liu, AE Sisk, MFP Diaz, KY Jen, ... | 6 | 2021 |
| Virtual impactor-based label-free pollen detection using holography and deep learning Y Luo, Y Zhang, T Liu, A Yu, Y Wu, A Ozcan ACS sensors 7 (12), 3885-3894, 2022 | 3 | 2022 |
| Virtual histological staining of unlabeled autopsy tissue Y Li, N Pillar, J Li, T Liu, D Wu, S Sun, G Ma, K de Haan, L Huang, ... Nature Communications 15 (1), 1684, 2024 | 2 | 2024 |
| Deep learning-based transformation of the H&E stain into special stains K de Haan, Y Zhang, JE Zuckerman, T Liu, AE Sisk, MFP Diaz, KY Jen, ... arXiv preprint arXiv:2008.08871, 2020 | 2 | 2020 |
| Multiplexed and micro-structured virtual staining of unlabeled tissue using deep learning K de Haan, Y Zhang, Y Rivenson, J Li, A Delis, A Ozcan Emerging Topics in Artificial Intelligence 2020 11469, 114690D, 2020 | 1 | 2020 |
Aydogan OzcanChancellor's Professor at UCLA & HHMI ProfessorZweryfikowany adres z ucla.edu
