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 | 409 | 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 | 306 | 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 | 206 | 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 | 199 | 2018 |
Roadmap on holography JT Sheridan, RK Kostuk, AF Gil, Y Wang, W Lu, H Zhong, Y Tomita, ... Journal of Optics 22 (12), 123002, 2020 | 102 | 2020 |
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 | 96 | 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 | 70 | 2021 |
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 | 64 | 2015 |
Exploit imaging through opaque wall via deep learning M Lyu, H Wang, G Li, G Situ arXiv preprint arXiv:1708.07881, 2017 | 50 | 2017 |
Adaptive 3D descattering with a dynamic synthesis network W Tahir, H Wang, L Tian Light: Science & Applications 11 (1), 42, 2022 | 30 | 2022 |
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 | 23 | 2022 |
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 | 21 | 2023 |
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 | 21 | 2021 |
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 | 19 | 2020 |
Roadmap on Deep Learning for Microscopy G Volpe, C Wählby, L Tian, M Hecht, A Yakimovich, K Monakhova, ... arXive arXiv:2303.03793, 2023 | 18 | 2023 |
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 | 12 | 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 | 8 | 2022 |
Local conditional neural fields for versatile and generalizable large-scale reconstructions in computational imaging H Wang, J Zhu, Y Li, QW Yang, L Tian arXiv preprint arXiv:2307.06207, 2023 | 7 | 2023 |
NeuPh: scalable and generalizable neural phase retrieval with local conditional neural fields H Wang, J Zhu, Y Li, Q Yang, L Tian Advanced Photonics Nexus 3 (5), 056005-056005, 2024 | 1 | 2024 |
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 | 1 | 2021 |