Phase unwrapping in optical metrology via denoised and convolutional segmentation networks J Zhang, X Tian, J Shao, H Luo, R Liang Optics express 27 (10), 14903-14912, 2019 | 110 | 2019 |
Learning a convolutional demosaicing network for microgrid polarimeter imagery J Zhang, J Shao, H Luo, X Zhang, B Hui, Z Chang, R Liang Optics letters 43 (18), 4534-4537, 2018 | 72 | 2018 |
PFNet: an unsupervised deep network for polarization image fusion J Zhang, J Shao, J Chen, D Yang, B Liang, R Liang Optics letters 45 (6), 1507-1510, 2020 | 66 | 2020 |
Fiber bundle image restoration using deep learning J Shao, J Zhang, X Huang, R Liang, K Barnard Optics letters 44 (5), 1080-1083, 2019 | 46 | 2019 |
Polarization image fusion with self-learned fusion strategy J Zhang, J Shao, J Chen, D Yang, B Liang Pattern Recognition 118, 108045, 2021 | 38 | 2021 |
Deep convolutional neural network phase unwrapping for fringe projection 3D imaging J Liang, J Zhang, J Shao, B Song, B Yao, R Liang Sensors 20 (13), 3691, 2020 | 35 | 2020 |
Resolution enhancement for fiber bundle imaging using maximum a posteriori estimation J Shao, WC Liao, R Liang, K Barnard Optics letters 43 (8), 1906-1909, 2018 | 33 | 2018 |
Fiber bundle imaging resolution enhancement using deep learning J Shao, J Zhang, R Liang, K Barnard Optics express 27 (11), 15880-15890, 2019 | 27 | 2019 |
Phase unwrapping using segmentation R Liang, J Zhang, X Tian, J Shao US Patent App. 17/294,635, 2022 | 5 | 2022 |
Computational Methods for Improving Fiber Bundle Imaging Systems J Shao The University of Arizona., 2019 | | 2019 |