| Structure-measure: A new way to evaluate foreground maps DP Fan, MM Cheng, Y Liu, T Li, A Borji Proceedings of the IEEE international conference on computer vision, 4548-4557, 2017 | 1785 | 2017 |
| 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 | 486 | 2019 |
| Applications of deep learning in fundus images: A review T Li, W Bo, C Hu, H Kang, H Liu, K Wang, H Fu Medical Image Analysis 69, 101971, 2021 | 321 | 2021 |
| CABNet: Category attention block for imbalanced diabetic retinopathy grading A He, T Li, N Li, K Wang, H Fu IEEE Transactions on Medical Imaging 40 (1), 143-153, 2020 | 286 | 2020 |
| 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 | 202 | 2019 |
| HSI-CNN: A novel convolution neural network for hyperspectral image Y Luo, J Zou, C Yao, X Zhao, T Li, G Bai 2018 International Conference on Audio, Language and Image Processing …, 2018 | 182 | 2018 |
| H2Former: An efficient hierarchical hybrid transformer for medical image segmentation A He, K Wang, T Li, C Du, S Xia, H Fu IEEE Transactions on Medical Imaging 42 (9), 2763-2775, 2023 | 142 | 2023 |
| 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 | 125 | 2019 |
| A benchmark of ocular disease intelligent recognition: One shot for multi-disease detection N Li, T Li, C Hu, K Wang, H Kang Benchmarking, Measuring, and Optimizing: Third BenchCouncil International …, 2021 | 115 | 2021 |
| Cube-CNN-SVM: A novel hyperspectral image classification method J Leng, T Li, G Bai, Q Dong, H Dong 2016 IEEE 28th International conference on tools with artificial …, 2016 | 87 | 2016 |
| VecQ: Minimal loss DNN model compression with vectorized weight quantization C Gong, Y Chen, Y Lu, T Li, C Hao, D Chen IEEE Transactions on Computers 70 (5), 696-710, 2020 | 56 | 2020 |
| Wiener polarity index and its generalization in trees H Lei, T Li, Y Shi, H Wang MATCH Commun. Math. Comput. Chem 78 (1), 199-212, 2017 | 55 | 2017 |
| An energy-efficient multicast algorithm with maximum network throughput in multi-hop wireless networks D Jiang, Z Xu, W Li, C Yao, Z Lv, T Li Journal of communications and networks 18 (5), 713-724, 2016 | 51 | 2016 |
| 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 | 50 | 2020 |
| T-DLA: An open-source deep learning accelerator for ternarized DNN models on embedded FPGA Y Chen, K Zhang, C Gong, C Hao, X Zhang, T Li, D Chen 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 13-18, 2019 | 47 | 2019 |
| CubemapSLAM: A piecewise-pinhole monocular fisheye SLAM system Y Wang, S Cai, SJ Li, Y Liu, Y Guo, T Li, MM Cheng Asian Conference on Computer Vision, 34-49, 2018 | 43 | 2018 |
| 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 | 41 | 2019 |
| Simultaneously multiobjective sparse unmixing and library pruning for hyperspectral imagery X Xu, B Pan, Z Chen, Z Shi, T Li IEEE Transactions on Geoscience and Remote Sensing 59 (4), 3383-3395, 2020 | 40 | 2020 |
| A systematic review of questionnaire-based quantitative research on MOOCs M Lu, T Cui, Z Huang, H Zhao, T Li, K Wang The International Review of Research in Open and Distributed Learning 22 (2 …, 2021 | 37 | 2021 |
| A benchmark for clothes variation in person re‐identification K Wang, Z Ma, S Chen, J Yang, K Zhou, T Li International Journal of Intelligent Systems 35 (12), 1881-1898, 2020 | 36 | 2020 |
