| Deep learning in optical metrology: a review C Zuo, J Qian, S Feng, W Yin, Y Li, P Fan, J Han, K Qian, Q Chen Light: Science & Applications 11 (1), 1-54, 2022 | 581 | 2022 |
| Calibration of fringe projection profilometry: A comparative review S Feng, C Zuo, L Zhang, T Tao, Y Hu, W Yin, J Qian, Q Chen Optics and lasers in engineering 143, 106622, 2021 | 275 | 2021 |
| Single-shot absolute 3D shape measurement with deep-learning-based color fringe projection profilometry J Qian, S Feng, Y Li, T Tao, J Han, Q Chen, C Zuo Optics Letters 45 (7), 1842-1845, 2020 | 211 | 2020 |
| Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement J Qian, S Feng, T Tao, Y Hu, Y Li, Q Chen, C Zuo Apl Photonics 5 (4), 2020 | 209 | 2020 |
| Deep-learning-enabled dual-frequency composite fringe projection profilometry for single-shot absolute 3D shape measurement Y Li, J Qian, S Feng, Q Chen, C Zuo Opto-Electronic Advances 5 (5), 210021-1-210021-16, 2022 | 121 | 2022 |
| Motion-artifact-free dynamic 3D shape measurement with hybrid Fourier-transform phase-shifting profilometry J Qian, T Tao, S Feng, Q Chen, C Zuo Optics express 27 (3), 2713-2731, 2019 | 89 | 2019 |
| Structured illumination microscopy based on principal component analysis J Qian, Y Cao, Y Bi, H Wu, Y Liu, Q Chen, C Zuo ELight 3 (1), 4, 2023 | 83 | 2023 |
| High-resolution real-time 360 3d model reconstruction of a handheld object with fringe projection profilometry J Qian, S Feng, T Tao, Y Hu, K Liu, S Wu, Q Chen, C Zuo Optics letters 44 (23), 5751-5754, 2019 | 74 | 2019 |
| Composite fringe projection deep learning profilometry for single-shot absolute 3D shape measurement Y Li, J Qian, S Feng, Q Chen, C Zuo Optics express 30 (3), 3424-3442, 2022 | 71 | 2022 |
| High-speed real-time 3D shape measurement based on adaptive depth constraint T Tao, Q Chen, S Feng, J Qian, Y Hu, L Huang, C Zuo Optics express 26 (17), 22440-22456, 2018 | 69 | 2018 |
| High-resolution real-time 360∘ 3D surface defect inspection with fringe projection profilometry J Qian, S Feng, M Xu, T Tao, Y Shang, Q Chen, C Zuo Optics and Lasers in Engineering 137, 106382, 2021 | 63 | 2021 |
| Unifying temporal phase unwrapping framework using deep learning X Guo, Y Li, J Qian, Y Che, C Zuo, Q Chen, EY Lam, H Wang, S Feng Optics Express 31 (10), 16659-16675, 2023 | 27 | 2023 |
| Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera W Chen, S Feng, W Yin, Y Li, J Qian, Q Chen, C Zuo PhotoniX 5 (1), 25, 2024 | 24 | 2024 |
| Robust frame-reduced structured illumination microscopy with accelerated correlation-enabled parameter estimation J Qian, Y Cao, K Xu, Y Bi, W Xia, Q Chen, C Zuo Applied Physics Letters 121 (15), 2022 | 16 | 2022 |
| Calibration and rectification of bi-telecentric lenses in Scheimpflug condition Y Hu, Z Liang, S Feng, W Yin, J Qian, Q Chen, C Zuo Optics and lasers in engineering 149, 106793, 2022 | 16 | 2022 |
| Single-shot spatial frequency multiplex fringe pattern for phase unwrapping using deep learning Y Li, J Qian, S Feng, Q Chen, C Zuo Optics Frontier Online 2020: Optics Imaging and Display 11571, 314-319, 2020 | 10 | 2020 |
| Deep learning-based 3d measurements with near-infrared fringe projection J Wang, Y Li, Y Ji, J Qian, Y Che, C Zuo, Q Chen, S Feng Sensors 22 (17), 6469, 2022 | 8 | 2022 |
| Motion-resistant structured illumination microscopy based on principal component analysis J Lyu, J Qian, K Xu, Y Huang, C Zuo Optics Letters 48 (1), 175-178, 2022 | 7 | 2022 |
| Correction: Deep learning in optical metrology: a review Z Chao, Q Jiaming, F Shijie, W Yin, Y Li, F Pengfei, J Han, Q Kemao, ... Light: Science and Applications 11 (1), 2022 | 5 | 2022 |
| Fast-Structured Illumination Microscopy Based on Dichotomy–Correlation Parameter Estimation (dCOR-SIM) J Qian, K Xu, S Feng, Y Liu, H Ma, Q Chen, C Zuo ACS Photonics 11 (5), 1887-1892, 2024 | 4 | 2024 |
Chao ZUOSmart Computational Imaging Lab (SCILab) @ Nanjing University of Science and TechnologyΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα njust.edu.cn