| An improved anisotropic diffusion filter with semi-adaptive threshold for edge preservation J Xu, Y Jia, Z Shi, K Pang Signal Processing 119, 80-91, 2016 | 83 | 2016 |
| A switching weighted vector median filter based on edge detection J Xu, L Wang, Z Shi Signal Processing 98, 359-369, 2014 | 50 | 2014 |
| Full-reference image quality assessment based on image segmentation with edge feature Z Shi, J Zhang, Q Cao, K Pang, T Luo Signal Processing 145, 99-105, 2018 | 35 | 2018 |
| An image mosaic method based on convolutional neural network semantic features extraction Z Shi, H Li, Q Cao, H Ren, B Fan Journal of Signal Processing Systems 92, 435-444, 2020 | 34 | 2020 |
| A material decomposition method for dual‐energy CT via dual interactive Wasserstein generative adversarial networks Z Shi, H Li, Q Cao, Z Wang, M Cheng Medical physics 48 (6), 2891-2905, 2021 | 28 | 2021 |
| Automatic nodule segmentation method for CT images using aggregation-U-Net generative adversarial networks Z Shi, Q Hu, Y Yue, Z Wang, OMS AL-Othmani, H Li Sensing and Imaging 21, 1-16, 2020 | 23 | 2020 |
| A perceptual image quality index based on global and double-random window similarity Z Shi, K Chen, K Pang, J Zhang, Q Cao Digital Signal Processing 60, 277-286, 2017 | 16 | 2017 |
| An adaptive image enhancement technique based on image characteristic X Xie, Z Shi, W Guo, S Yao 2009 2nd International Congress on Image and Signal Processing, 1-5, 2009 | 16 | 2009 |
| A novel video image scaling algorithm based on morphological edge interpolation Z Shi, S Yao, Y Zhao 2008 international conference on neural networks and signal processing, 388-391, 2008 | 15 | 2008 |
| Robust and efficient corner detector using non-corners exclusion T Luo, Z Shi, P Wang Applied Sciences 10 (2), 443, 2020 | 13 | 2020 |
| A Virtual Monochromatic Imaging Method for Spectral CT Based on Wasserstein Generative Adversarial Network With a Hybrid Loss. Z Shi, J Li, H Li, Q Hu, Q Cao IEEE Access 7 (1), 110992-111011, 2019 | 13 | 2019 |
| A data augmentation method based on cycle-consistent adversarial networks for fluorescence encoded microsphere image analysis Z Shi, M Liu, Q Cao, H Ren, T Luo Signal Processing 161, 195-202, 2019 | 12 | 2019 |
| An edge-on charge-transfer design for energy-resolved x-ray detection Z Shi, H Yang, W Cong, G Wang Physics in Medicine & Biology 61 (11), 4183, 2016 | 12 | 2016 |
| Design, Analysis, and Optimization of a CMOS Active Pixel Sensor3 X Jiangtao, Y Suying, L Binqiao, S Zaifeng, G Jing 半导体学报 27 (9), 2006 | 12 | 2006 |
| A semi‐supervised learning method of latent features based on convolutional neural networks for CT metal artifact reduction Z Shi, N Wang, F Kong, H Cao, Q Cao Medical Physics 49 (6), 3845-3859, 2022 | 11 | 2022 |
| Improved U-Net based on mixed loss function for liver medical image segmentation YJ Huang, ZF Shi, ZQ Wang, Z Wang Laser & Optoelectronics Progress 57 (22), 221003, 2020 | 11 | 2020 |
| A brightness-preserving two-dimensional histogram equalization method based on two-level segmentation Q Cao, Z Shi, R Wang, P Wang, S Yao Multimedia Tools and Applications 79, 27091-27114, 2020 | 10 | 2020 |
| Fusion for visible and infrared images using visual weight analysis and bilateral filter-based multi scale decomposition Z Shi, J Xu, J Zhao, Q Xin Infrared Physics & Technology 71, 363-369, 2015 | 10 | 2015 |
| Digital domain accumulative CMOS-TDI image sensor with low power consumption S Yao, K Nie, J Xu, J Gao, Z Shi, C Gao US Patent 8,976,278, 2015 | 10 | 2015 |
| A method of eliminating the signal-dependent random noise from the raw CMOS image sensor data based on Kalman filter Y Zhang, G Wang, J Xu, Z Shi, T Feng, D Dong, G Chi Signal processing 104, 401-406, 2014 | 10 | 2014 |
