| Spectrally encoded single-pixel machine vision using diffractive networks J Li, D Mengu, NT Yardimci, Y Luo, X Li, M Veli, Y Rivenson, M Jarrahi, ... Science Advances 7 (13), eabd7690, 2021 | 197 | 2021 |
| Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy J Li, D Mengu, Y Luo, Y Rivenson, A Ozcan Advanced Photonics 1 (4), 2019 | 167 | 2019 |
| Terahertz pulse shaping using diffractive surfaces M Veli, D Mengu, NT Yardimci, Y Luo, J Li, Y Rivenson, M Jarrahi, ... Nature Communications 12 (1), 1-13, 2021 | 156 | 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 | 149 | 2020 |
| Computational imaging without a computer: seeing through random diffusers at the speed of light Y Luo, Y Zhao, J Li, E Çetintaş, Y Rivenson, M Jarrahi, A Ozcan ELight 2 (1), 4, 2022 | 143 | 2022 |
| Ensemble learning of diffractive optical networks MSS Rahman, J Li, D Mengu, Y Rivenson, A Ozcan Light: Science & Applications 10 (1), 14, 2021 | 142 | 2021 |
| 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 (233), 2021 | 94 | 2021 |
| Polarization multiplexed diffractive computing: all-optical implementation of a group of linear transformations through a polarization-encoded diffractive network J Li, YC Hung, O Kulce, D Mengu, A Ozcan Light: Science & Applications 11 (1), 153, 2022 | 89 | 2022 |
| Massively parallel universal linear transformations using a wavelength-multiplexed diffractive optical network J Li, T Gan, B Bai, Y Luo, M Jarrahi, A Ozcan Advanced Photonics 5 (1), 016003-016003, 2023 | 70 | 2023 |
| High-throughput terahertz imaging: progress and challenges X Li, J Li, Y Li, A Ozcan, M Jarrahi Light: Science & Applications 12 (1), 233, 2023 | 64 | 2023 |
| Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning BME frontiers, 2022 | 56 | 2022 |
| At the intersection of optics and deep learning: statistical inference, computing, and inverse design D Mengu, MS Sakib Rahman, Y Luo, J Li, O Kulce, A Ozcan Advances in Optics and Photonics 14 (2), 209-290, 2022 | 50 | 2022 |
| Universal linear intensity transformations using spatially incoherent diffractive processors MSS Rahman, X Yang, J Li, B Bai, A Ozcan Light: Science & Applications 12 (1), 195, 2023 | 49 | 2023 |
| Super-resolution image display using diffractive decoders Ç Işıl, D Mengu, Y Zhao, A Tabassum, J Li, Y Luo, M Jarrahi, A Ozcan Science Advances 8 (48), eadd3433, 2022 | 42 | 2022 |
| Unidirectional imaging using deep learning–designed materials J Li, T Gan, Y Zhao, B Bai, CY Shen, S Sun, M Jarrahi, A Ozcan Science Advances 9 (17), eadg1505, 2023 | 37 | 2023 |
| Rapid sensing of hidden objects and defects using a single-pixel diffractive terahertz sensor J Li, X Li, NT Yardimci, J Hu, Y Li, J Chen, YC Hung, M Jarrahi, A Ozcan Nature communications 14 (1), 6791, 2023 | 29 | 2023 |
| On‐Chip Super‐Resolution Imaging with Fluorescent Polymer Films C Pang, J Li, M Tang, J Wang, I Mela, F Ströhl, L Hecker, W Shen, Q Liu, ... Advanced Functional Materials 29 (27), 1900126, 2019 | 29 | 2019 |
| 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 | 26 | 2023 |
| Multispectral quantitative phase imaging using a diffractive optical network CY Shen, J Li, D Mengu, A Ozcan Advanced Intelligent Systems 5 (11), 2300300, 2023 | 22 | 2023 |
| 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 | 19 | 2024 |
Aydogan OzcanChancellor's Professor at UCLA & HHMI ProfessorBestätigte E-Mail-Adresse bei ucla.edu