| One-step robust deep learning phase unwrapping K Wang, Y Li, Q Kemao, J Di, J Zhao Optics express 27 (10), 15100-15115, 2019 | 355 | 2019 |
| Y-Net: a one-to-two deep learning framework for digital holographic reconstruction K Wang, J Dou, Q Kemao, J Di, J Zhao Optics letters 44 (19), 4765-4768, 2019 | 205 | 2019 |
| Deep learning spatial phase unwrapping: a comparative review K Wang, Q Kemao, J Di, J Zhao Advanced Photonics Nexus 1 (1), 014001-014001, 2022 | 97 | 2022 |
| Deep learning wavefront sensing and aberration correction in atmospheric turbulence K Wang, MM Zhang, J Tang, L Wang, L Hu, X Wu, W Li, J Di, G Liu, J Zhao PhotoniX 2 (1), 8, 2021 | 88 | 2021 |
| On the use of deep learning for phase recovery K Wang, L Song, C Wang, Z Ren, G Zhao, J Dou, J Di, G Barbastathis, ... Light: Science & Applications 13 (1), 4, 2024 | 81 | 2024 |
| Quantitative phase microscopy for cellular dynamics based on transport of intensity equation Y Li, J Di, C Ma, J Zhang, J Zhong, K Wang, T Xi, J Zhao Optics Express 26 (1), 586-593, 2018 | 79 | 2018 |
| Y4-Net: a deep learning solution to one-shot dual-wavelength digital holographic reconstruction K Wang, Q Kemao, J Di, J Zhao Optics letters 45 (15), 4220-4223, 2020 | 66 | 2020 |
| Transport of intensity equation from a single intensity image via deep learning K Wang, J Di, Y Li, Z Ren, Q Kemao, J Zhao Optics and Lasers in Engineering 134, 106233, 2020 | 52 | 2020 |
| RestoreNet: a deep learning framework for image restoration in optical synthetic aperture imaging system J Tang, K Wang, Z Ren, W Zhang, X Wu, J Di, G Liu, J Zhao Optics and Lasers in Engineering 139, 106463, 2021 | 39 | 2021 |
| RestoreNet-Plus: Image restoration via deep learning in optical synthetic aperture imaging system J Tang, J Wu, K Wang, Z Ren, X Wu, L Hu, J Di, G Liu, J Zhao Optics and Lasers in Engineering 146, 106707, 2021 | 32 | 2021 |
| Classification of cell morphology with quantitative phase microscopy and machine learning Y Li, J Di, K Wang, S Wang, J Zhao Optics Express 28 (16), 23916-23927, 2020 | 30 | 2020 |
| Quantitative and dynamic phase imaging of biological cells by the use of the digital holographic microscopy based on a beam displacer unit J Di, Y Li, K Wang, J Zhao IEEE Photonics Journal 10 (4), 1-10, 2018 | 28 | 2018 |
| Quantitative phase imaging using deep learning-based holographic microscope J Di, J Wu, K Wang, J Tang, Y Li, J Zhao Frontiers in Physics 9, 651313, 2021 | 27 | 2021 |
| Dual-wavelength common-path digital holographic microscopy for quantitative phase imaging of biological cells J Di, Y Song, T Xi, J Zhang, Y Li, C Ma, K Wang, J Zhao Optical Engineering 56 (11), 111712-111712, 2017 | 15 | 2017 |
| Sparse-view imaging of a fiber internal structure in holographic diffraction tomography via a convolutional neural network J Di, W Han, S Liu, K Wang, J Tang, J Zhao Applied Optics 60 (4), A234-A242, 2021 | 14 | 2021 |
| Light-field focusing and modulation through scattering media based on dual-polarization-encoded digital optical phase conjugation J Dou, C Ma, K Wang, J Di, J Zhang, J Zhao Optics Letters 47 (11), 2738-2741, 2022 | 6 | 2022 |
| Neuromorphic Shack-Hartmann wave normal sensing C Wang, S Zhu, P Zhang, J Huang, K Wang, EY Lam arXiv preprint arXiv:2404.15619, 2024 | 5 | 2024 |
| Deep learning-based holographic reconstruction in digital holography J Di, K Wang, Y Li, J Zhao Digital Holography and Three-Dimensional Imaging, HTu4B. 2, 2020 | 5 | 2020 |
| Deep learning phase recovery: data-driven, physics-driven, or a combination of both? K Wang, EY Lam Advanced Photonics Nexus 3 (5), 056006-056006, 2024 | 3 | 2024 |
| Quasicommon-path digital holographic microscopy with phase aberration compensation based on a long-working distance objective J Di, K Wang, J Zhang, C Ma, T Xi, Y Li, K Wei, W Qu, J Zhao Optical Engineering 57 (2), 024108-024108, 2018 | 3 | 2018 |
Jianglei Di（邸江磊）Guangdong University of TechnologyПідтверджена електронна адреса в gdut.edu.cn