| Diagnostic assessment of deep learning algorithms for diabetic retinopathy screening T Li, Y Gao, K Wang, S Guo, H Liu, H Kang Information Sciences 501, 511-522, 2019 | 432 | 2019 |
| BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation S Guo, K Wang, H Kang, Y Zhang, Y Gao, T Li International journal of medical informatics 126, 105-113, 2019 | 192 | 2019 |
| L-Seg: An end-to-end unified framework for multi-lesion segmentation of fundus images S Guo, T Li, H Kang, N Li, Y Zhang, K Wang Neurocomputing 349, 52-63, 2019 | 111 | 2019 |
| Bin loss for hard exudates segmentation in fundus images S Guo, K Wang, H Kang, T Liu, Y Gao, T Li Neurocomputing 392, 314-324, 2020 | 46 | 2020 |
| DCNR: deep cube CNN with random forest for hyperspectral image classification T Li, J Leng, L Kong, S Guo, G Bai, K Wang Multimedia Tools and Applications 78, 3411-3433, 2019 | 40 | 2019 |
| AVNet: A retinal artery/vein classification network with category-attention weighted fusion H Kang, Y Gao, S Guo, X Xu, T Li, K Wang Computer Methods and Programs in Biomedicine 195, 105629, 2020 | 30 | 2020 |
| DPN: detail-preserving network with high resolution representation for efficient segmentation of retinal vessels S Guo Journal of Ambient Intelligence and Humanized Computing 14 (5), 5689-5702, 2023 | 25 | 2023 |
| Fundus image segmentation via hierarchical feature learning S Guo Computers in Biology and Medicine 138, 104928, 2021 | 24 | 2021 |
| A lightweight neural network for hard exudate segmentation of fundus image S Guo, T Li, K Wang, C Zhang, H Kang Artificial Neural Networks and Machine Learning–ICANN 2019: Image Processing …, 2019 | 24 | 2019 |
| CSGNet: Cascade semantic guided net for retinal vessel segmentation S Guo Biomedical Signal Processing and Control 78, 103930, 2022 | 17 | 2022 |
| LightEyes: A lightweight fundus segmentation network for mobile edge computing S Guo Sensors 22 (9), 3112, 2022 | 14 | 2022 |
| Random drop loss for tiny object segmentation: Application to lesion segmentation in fundus images S Guo, T Li, C Zhang, N Li, H Kang, K Wang Artificial Neural Networks and Machine Learning–ICANN 2019: Image Processing …, 2019 | 8 | 2019 |
| Aggregation connection network for tiny face detection C Zhang, T Li, S Guo, N Li, Y Gao, K Wang 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 7 | 2019 |
| Training restricted Boltzmann machines using modified objective function based on limiting the free energy value S Guo, C Zhou, B Wang, X Zheng IEEE Access 6, 78542-78550, 2018 | 6 | 2018 |
| Mdanet: Multi-direction attention network for curvilinear structure segmentation of biomedical images X Chen, T Hu, S Guo 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 2 | 2022 |
| 基于多任务学习的眼底图像红色病变点分割 郭松， 李涛， 李宁， 康宏， 张玉军， 王恺 软件学报 32 (11), 3646-3658, 2021 | 2* | 2021 |
| Vertically-nested network for automatic vessel segmentation S Guo, X Chen, Y Kong 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 1 | 2021 |
| A Mountain Summit Recognition Method Based on Improved Faster R‐CNN Y Kong, Y Wang, S Guo, J Wang Complexity 2021 (1), 8235108, 2021 | 1 | 2021 |
| 语义融合眼底图像动静脉分类方法 高颖琪， 郭松， 李宁， 王恺， 康宏， 李涛 中国图象图形学报, 2020 | 1 | 2020 |
| A Method of Discriminative Features Extraction for Restricted Boltzmann Machines S Guo, C Zhou, B Wang, S Zhou Intelligent Data Engineering and Automated Learning–IDEAL 2016: 17th …, 2016 | 1 | 2016 |
tao liNankai University在 nankai.edu.cn 的电子邮件经过验证
