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Kaiqiang Wang
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Zitiert von
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One-step robust deep learning phase unwrapping
K Wang, Y Li, Q Kemao, J Di, J Zhao
Optics express 27 (10), 15100-15115, 2019
2922019
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
1592019
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
672018
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
622021
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
592020
Deep learning spatial phase unwrapping: a comparative review
K Wang, Q Kemao, J Di, J Zhao
Advanced Photonics Nexus 1 (1), 014001-014001, 2022
512022
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
462020
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
332021
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
262021
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
252020
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
222021
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
222018
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
162024
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
152017
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
112021
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
52022
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
52020
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
22018
Real-time phase measurement of optical vortex via digital holography
H Qiu, X Liu, K Wang, J Dou, J Di, Y Qin
Frontiers in Physics 11, 1190616, 2023
12023
Common-path digital holographic microscopy based on a beam displacer unit
J Di, J Zhang, Y Song, K Wang, K Wei, J Zhao
Quantitative Phase Imaging IV 10503, 208-211, 2018
12018
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