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Hao Wang
Hao Wang
PhD candidate of Boston University
Verified email at bu.edu
Title
Cited by
Cited by
Year
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
3552017
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
2552019
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
1832019
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
1772018
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
932015
Roadmap on holography
JT Sheridan, RK Kostuk, AF Gil, Y Wang, W Lu, H Zhong, Y Tomita, ...
Journal of Optics 22 (12), 123002, 2020
862020
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
602015
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
552021
Exploit imaging through opaque wall via deep learning
M Lyu, H Wang, G Li, G Situ
arXiv preprint arXiv:1708.07881, 2017
462017
Adaptive 3D descattering with a dynamic synthesis network
W Tahir, H Wang, L Tian
Light: Science & Applications 11 (1), 42, 2022
252022
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
172021
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
162022
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
162020
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
102023
Local conditional neural fields for versatile and generalizable large-scale reconstructions in computational imaging
H Wang, L Tian
arXiv preprint arXiv:2307.06207, 2023
52023
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
42022
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
32023
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
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Articles 1–20