| CS2-Net: Deep learning segmentation of curvilinear structures in medical imaging L Mou, Y Zhao, H Fu, Y Liu, J Cheng, Y Zheng, P Su, J Yang, L Chen, ... Medical image analysis 67, 101874, 2021 | 246 | 2021 |
| CS-Net: Channel and spatial attention network for curvilinear structure segmentation L Mou, Y Zhao, L Chen, J Cheng, Z Gu, H Hao, H Qi, Y Zheng, A Frangi, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 230 | 2019 |
| Adaptive multi-focus image fusion using a wavelet-based statistical sharpness measure J Tian, L Chen Signal Processing 92 (9), 2137-2146, 2012 | 211 | 2012 |
| Multi-focus image fusion using a bilateral gradient-based sharpness criterion J Tian, L Chen, L Ma, W Yu Optics communications 284 (1), 80-87, 2011 | 203 | 2011 |
| A nonlinear least square technique for simultaneous image registration and super-resolution Y He, KH Yap, L Chen, LP Chau IEEE Transactions on Image Processing 16 (11), 2830-2841, 2007 | 168 | 2007 |
| Depth image enhancement for Kinect using region growing and bilateral filter L Chen, H Lin, S Li Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 151 | 2012 |
| Dense dilated network with probability regularized walk for vessel detection L Mou, L Chen, J Cheng, Z Gu, Y Zhao, J Liu IEEE transactions on medical imaging 39 (5), 1392-1403, 2019 | 137 | 2019 |
| A soft MAP framework for blind super-resolution image reconstruction Y He, KH Yap, L Chen, LP Chau Image and Vision Computing 27 (4), 364-373, 2009 | 102 | 2009 |
| Ernie-vilg 2.0: Improving text-to-image diffusion model with knowledge-enhanced mixture-of-denoising-experts Z Feng, Z Zhang, X Yu, Y Fang, L Li, X Chen, Y Lu, J Liu, W Yin, S Feng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 97 | 2023 |
| Image noise estimation using a variation-adaptive evolutionary approach J Tian, L Chen IEEE Signal Processing Letters 19 (7), 395-398, 2012 | 61 | 2012 |
| A soft double regularization approach to parametric blind image deconvolution L Chen, KH Yap IEEE Transactions on Image Processing 14 (5), 624-633, 2005 | 61 | 2005 |
| Multi-focus image fusion using wavelet-domain statistics J Tian, L Chen 2010 IEEE International Conference on Image Processing, 1205-1208, 2010 | 54 | 2010 |
| Retinal image registration using topological vascular tree segmentation and bifurcation structures L Chen, X Huang, J Tian Biomedical Signal Processing and Control 16, 22-31, 2015 | 51 | 2015 |
| Image despeckling using a non-parametric statistical model of wavelet coefficients J Tian, L Chen Biomedical Signal Processing and Control 6 (4), 432-437, 2011 | 45 | 2011 |
| An effective technique for subpixel image registration under noisy conditions L Chen, KH Yap IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2008 | 39 | 2008 |
| Efficient discrete spatial techniques for blur support identification in blind image deconvolution L Chen, KH Yap IEEE Transactions on Signal Processing 54 (4), 1557-1562, 2006 | 39 | 2006 |
| Blind super-resolution image reconstruction using a maximum a posteriori estimation Y He, KH Yap, L Chen, LP Chau 2006 International Conference on Image Processing, 1729-1732, 2006 | 36 | 2006 |
| An image despeckling approach using quantum-inspired statistics in dual-tree complex wavelet domain X Fu, Y Wang, L Chen, J Tian Biomedical Signal Processing and Control 18, 30-35, 2015 | 30 | 2015 |
| Blind noisy image quality assessment using block homogeneity X Huang, L Chen, J Tian, X Zhang, X Fu Computers & Electrical Engineering 40 (3), 796-807, 2014 | 25 | 2014 |
| Image edge detection using variation-adaptive ant colony optimization J Tian, W Yu, L Chen, L Ma Transactions on computational collective intelligence V, 27-40, 2011 | 25 | 2011 |
