| Joint optic disc and cup segmentation based on multi-label deep network and polar transformation H Fu, J Cheng, Y Xu, DWK Wong, J Liu, X Cao IEEE transactions on medical imaging 37 (7), 1597-1605, 2018 | 678 | 2018 |
| Superpixel classification based optic disc and optic cup segmentation for glaucoma screening J Cheng, J Liu, Y Xu, F Yin, DWK Wong, NM Tan, D Tao, CY Cheng, ... IEEE transactions on medical imaging 32 (6), 1019-1032, 2013 | 636 | 2013 |
| Deepvessel: Retinal vessel segmentation via deep learning and conditional random field H Fu, Y Xu, S Lin, DW Kee Wong, J Liu Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 461 | 2016 |
| Glaucoma detection based on deep convolutional neural network X Chen, Y Xu, DWK Wong, TY Wong, J Liu 2015 37th annual international conference of the IEEE engineering in …, 2015 | 373 | 2015 |
| Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs JI Orlando, H Fu, JB Breda, K Van Keer, DR Bathula, A Diaz-Pinto, ... Medical image analysis 59, 101570, 2020 | 359 | 2020 |
| Closed-loop matters: Dual regression networks for single image super-resolution Y Guo, J Chen, J Wang, Q Chen, J Cao, Z Deng, Y Xu, M Tan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 299 | 2020 |
| Disc-aware ensemble network for glaucoma screening from fundus image H Fu, J Cheng, Y Xu, C Zhang, DWK Wong, J Liu, X Cao IEEE transactions on medical imaging 37 (11), 2493-2501, 2018 | 292 | 2018 |
| Retinal vessel segmentation via deep learning network and fully-connected conditional random fields H Fu, Y Xu, DWK Wong, J Liu 2016 IEEE 13th international symposium on biomedical imaging (ISBI), 698-701, 2016 | 288 | 2016 |
| Automatic feature learning for glaucoma detection based on deep learning X Chen, Y Xu, S Yan, DWK Wong, TY Wong, J Liu Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 166 | 2015 |
| Skin lesion segmentation via generative adversarial networks with dual discriminators B Lei, Z Xia, F Jiang, X Jiang, Z Ge, Y Xu, J Qin, S Chen, T Wang, S Wang Medical Image Analysis 64, 101716, 2020 | 163 | 2020 |
| Attention guided network for retinal image segmentation S Zhang, H Fu, Y Yan, Y Zhang, Q Wu, M Yang, M Tan, Y Xu Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 154 | 2019 |
| Retinal image synthesis and semi-supervised learning for glaucoma assessment A Diaz-Pinto, A Colomer, V Naranjo, S Morales, Y Xu, AF Frangi IEEE transactions on medical imaging 38 (9), 2211-2218, 2019 | 135 | 2019 |
| Detection of sudden pedestrian crossings for driving assistance systems Y Xu, D Xu, S Lin, TX Han, X Cao, X Li IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2011 | 116 | 2011 |
| A deep learning system for automated angle-closure detection in anterior segment optical coherence tomography images H Fu, M Baskaran, Y Xu, S Lin, DWK Wong, J Liu, TA Tun, M Mahesh, ... American journal of ophthalmology 203, 37-45, 2019 | 111 | 2019 |
| Evaluation of retinal image quality assessment networks in different color-spaces H Fu, B Wang, J Shen, S Cui, Y Xu, J Liu, L Shao Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 105 | 2019 |
| Optic cup segmentation for glaucoma detection using low-rank superpixel representation Y Xu, L Duan, S Lin, X Chen, DWK Wong, TY Wong, J Liu Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 89 | 2014 |
| Segmentation and quantification for angle-closure glaucoma assessment in anterior segment OCT H Fu, Y Xu, S Lin, X Zhang, DWK Wong, J Liu, AF Frangi, M Baskaran, ... IEEE transactions on medical imaging 36 (9), 1930-1938, 2017 | 83 | 2017 |
| An efficient tree classifier ensemble-based approach for pedestrian detection Y Xu, X Cao, H Qiao IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2010 | 78 | 2010 |
| Sliding window and regression based cup detection in digital fundus images for glaucoma diagnosis Y Xu, D Xu, S Lin, J Liu, J Cheng, CY Cheung, T Aung, TY Wong Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 75 | 2011 |
| Breast tumor detection in ultrasound images using deep learning Z Cao, L Duan, G Yang, T Yue, Q Chen, H Fu, Y Xu Patch-Based Techniques in Medical Imaging: Third International Workshop …, 2017 | 65 | 2017 |
Jiang LiuSouthern University of Science and TechnologyVerified email at sustech.edu.cn
