| Deep-learning-based ghost imaging M Lyu, W Wang, H Wang, H Wang, G Li, N Chen, G Situ Scientific reports 7 (1), 17865, 2017 | 355 | 2017 |
| Learning from simulation: An end-to-end deep-learning approach for computational ghost imaging F Wang, H Wang, H Wang, G Li, G Situ Optics express 27 (18), 25560-25572, 2019 | 254 | 2019 |
| Learning-based lensless imaging through optically thick scattering media M Lyu, H Wang, G Li, S Zheng, G Situ Advanced Photonics 1 (3), 036002, 2019 | 183 | 2019 |
| eHoloNet: a learning-based end-to-end approach for in-line digital holographic reconstruction H Wang, M Lyu, G Situ Optics express 26 (18), 22603-22614, 2018 | 178 | 2018 |
| Aqueous synthesis of color tunable Cu doped Zn–In–S/ZnS nanoparticles in the whole visible region for cellular imaging T Jiang, J Song, H Wang, X Ye, H Wang, W Zhang, M Yang, R Xia, L Zhu, ... Journal of Materials Chemistry B 3 (11), 2402-2410, 2015 | 93 | 2015 |
| Roadmap on holography JT Sheridan, RK Kostuk, AF Gil, Y Wang, W Lu, H Zhong, Y Tomita, ... Journal of Optics 22 (12), 123002, 2020 | 86 | 2020 |
| Au–Ag@ Au hollow nanostructure with enhanced chemical stability and improved photothermal transduction efficiency for cancer treatment T Jiang, J Song, W Zhang, H Wang, X Li, R Xia, L Zhu, X Xu ACS applied materials & interfaces 7 (39), 21985-21994, 2015 | 61 | 2015 |
| Incoherent imaging through highly nonstatic and optically thick turbid media based on neural network S Zheng, H Wang, S Dong, F Wang, G Situ Photonics Research 9 (5), B220-B228, 2021 | 55 | 2021 |
| Exploit imaging through opaque wall via deep learning M Lyu, H Wang, G Li, G Situ arXiv preprint arXiv:1708.07881, 2017 | 46 | 2017 |
| Adaptive 3D descattering with a dynamic synthesis network W Tahir, H Wang, L Tian Light: Science & Applications 11 (1), 42, 2022 | 25 | 2022 |
| Large-scale holographic particle 3D imaging with the beam propagation model H Wang, W Tahir, J Zhu, L Tian Optics Express 29 (11), 17159-17172, 2021 | 17 | 2021 |
| High-fidelity intensity diffraction tomography with a non-paraxial multiple-scattering model J Zhu, H Wang, L Tian Optics Express 30 (18), 32808-32821, 2022 | 16 | 2022 |
| 深度学习在计算成像中的应用 王飞， 王昊， 卞耀明， 司徒国海 Acta Optica Sinica 40 (1), 0111002, 2020 | 16 | 2020 |
| Fourier ptychographic topography H Wang, J Zhu, J Sung, G Hu, J Greene, Y Li, S Park, W Kim, M Lee, ... Optics Express 31 (7), 11007-11018, 2023 | 10 | 2023 |
| Local conditional neural fields for versatile and generalizable large-scale reconstructions in computational imaging H Wang, L Tian arXiv preprint arXiv:2307.06207, 2023 | 5 | 2023 |
| Optical spatial filtering with plasmonic directional image sensors J Liu, H Wang, LC Kogos, Y Li, Y Li, L Tian, R Paiella Optics Express 30 (16), 29074-29087, 2022 | 4 | 2022 |
| Asymmetric metasurface photodetectors for single-shot quantitative phase imaging J Liu, H Wang, Y Li, L Tian, R Paiella Nanophotonics 12 (17), 3519-3528, 2023 | 3 | 2023 |
| Roadmap on Deep Learning for Microscopy G Volpe, C Wählby, L Tian, M Hecht, A Yakimovich, K Monakhova, ... arXive arXiv:2303.03793, 2023 | | 2023 |
| Plasmonic Directional Photodetectors for Edge Enhancement J Liu, H Wang, LC Kogos, Y Li, Y Li, L Tian, R Paiella CLEO: Science and Innovations, SM1D. 2, 2021 | | 2021 |
| Intensity diffraction tomography with a non-paraxial multiple-scattering model J Zhu, A Matlock, H Wang, L Tian Novel Techniques in Microscopy, NTh2C. 2, 2021 | | 2021 |
Guohai SituShanghai Institute of Optics and Fine MechanicsVerified email at siom.ac.cn
