| Automated feature extraction in color retinal images by a model based approach H Li, O Chutatape IEEE Transactions on biomedical engineering 51 (2), 246-254, 2004 | 743 | 2004 |
| A self-training semi-supervised SVM algorithm and its application in an EEG-based brain computer interface speller system Y Li, C Guan, H Li, Z Chin Pattern Recognition Letters 29 (9), 1285-1294, 2008 | 312 | 2008 |
| Automatic location of optic disk in retinal images H Li, O Chutatape Proceedings 2001 International Conference on Image Processing (Cat. No …, 2001 | 298 | 2001 |
| An improved SPH method for modeling liquid sloshing dynamics JR Shao, HQ Li, GR Liu, MB Liu Computers & Structures 100, 18-26, 2012 | 294 | 2012 |
| Level-set based automatic cup-to-disc ratio determination using retinal fundus images in ARGALI DWK Wong, J Liu, JH Lim, X Jia, F Yin, H Li, TY Wong 2008 30th annual international conference of the IEEE engineering in …, 2008 | 242 | 2008 |
| A model-based approach for automated feature extraction in fundus images Chutatape Proceedings Ninth IEEE International Conference on Computer Vision, 394-399 …, 2003 | 214 | 2003 |
| Synthesizing retinal and neuronal images with generative adversarial nets H Zhao, H Li, S Maurer-Stroh, L Cheng Medical image analysis 49, 14-26, 2018 | 198 | 2018 |
| Fundus image features extraction H Li, O Chutatape Proceedings of the 22nd Annual International Conference of the IEEE …, 2000 | 159 | 2000 |
| Automatic grading of retinal vessel caliber H Li, W Hsu, ML Lee, TY Wong IEEE Transactions on Biomedical Engineering 52 (7), 1352-1355, 2005 | 155 | 2005 |
| Boundary detection of optic disk by a modified ASM method H Li, O Chutatape Pattern Recognition 36 (9), 2093-2104, 2003 | 138 | 2003 |
| A piecewise Gaussian model for profiling and differentiating retinal vessels H Li, W Hsu, ML Lee, H Wang Proceedings 2003 International Conference on Image Processing (Cat. No …, 2003 | 134 | 2003 |
| Deep representation-based domain adaptation for nonstationary EEG classification H Zhao, Q Zheng, K Ma, H Li, Y Zheng IEEE Transactions on Neural Networks and Learning Systems 32 (2), 535-545, 2020 | 119 | 2020 |
| Supervised segmentation of un-annotated retinal fundus images by synthesis H Zhao, H Li, S Maurer-Stroh, Y Guo, Q Deng, L Cheng IEEE transactions on medical imaging 38 (1), 46-56, 2018 | 110 | 2018 |
| A computer-aided diagnosis system of nuclear cataract H Li, JH Lim, J Liu, P Mitchell, AG Tan, JJ Wang, TY Wong IEEE Transactions on Biomedical Engineering 57 (7), 1690-1698, 2010 | 95 | 2010 |
| A graph-theoretical approach for tracing filamentary structures in neuronal and retinal images J De, L Cheng, X Zhang, F Lin, H Li, KH Ong, W Yu, Y Yu, S Ahmed IEEE transactions on medical imaging 35 (1), 257-272, 2015 | 93 | 2015 |
| ARGALI: an automatic cup-to-disc ratio measurement system for glaucoma analysis using level-set image processing J Liu, DWK Wong, JH Lim, H Li, NM Tan, Z Zhang, TY Wong, R Lavanya 13th International Conference on Biomedical Engineering: ICBME 2008 3–6 …, 2009 | 93 | 2009 |
| Arsenic exposure through drinking water is associated with longer telomeres in peripheral blood H Li, K Engström, M Vahter, K Broberg Chemical research in toxicology 25 (11), 2333-2339, 2012 | 86 | 2012 |
| Automatic cataract classification using deep neural network with discrete state transition Y Zhou, G Li, H Li IEEE transactions on medical imaging 39 (2), 436-446, 2019 | 82 | 2019 |
| Hierarchical method for cataract grading based on retinal images using improved Haar wavelet L Cao, H Li, Y Zhang, L Zhang, L Xu Information Fusion 53, 196-208, 2020 | 81 | 2020 |
| A retinal vessel boundary tracking method based on Bayesian theory and multi-scale line detection J Zhang, H Li, Q Nie, L Cheng Computerized Medical Imaging and Graphics 38 (6), 517-525, 2014 | 75 | 2014 |
