| X-net: Brain stroke lesion segmentation based on depthwise separable convolution and long-range dependencies K Qi, H Yang, C Li, Z Liu, M Wang, Q Liu, S Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 144 | 2019 |
| A radiomics approach with CNN for shear-wave elastography breast tumor classification Y Zhou, J Xu, Q Liu, C Li, Z Liu, M Wang, H Zheng, S Wang IEEE Transactions on Biomedical Engineering 65 (9), 1935-1942, 2018 | 142 | 2018 |
| AUNet: attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms H Sun, C Li, B Liu, Z Liu, M Wang, H Zheng, DD Feng, S Wang Physics in Medicine & Biology 65 (5), 055005, 2020 | 134 | 2020 |
| Annotation-efficient deep learning for automatic medical image segmentation S Wang, C Li, R Wang, Z Liu, M Wang, H Tan, Y Wu, X Liu, H Sun, R Yang, ... Nature communications 12 (1), 5915, 2021 | 108 | 2021 |
| Multi-view mammographic density classification by dilated and attention-guided residual learning C Li, J Xu, Q Liu, Y Zhou, L Mou, Z Pu, Y Xia, H Zheng, S Wang IEEE/ACM transactions on computational biology and bioinformatics 18 (3 …, 2020 | 75* | 2020 |
| CLCI-Net: Cross-level fusion and context inference networks for lesion segmentation of chronic stroke H Yang, W Huang, K Qi, C Li, X Liu, M Wang, H Zheng, S Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 74 | 2019 |
| Multi-label ocular disease classification with a dense correlation deep neural network J He, C Li, J Ye, Y Qiao, L Gu Biomedical Signal Processing and Control 63, 102167, 2021 | 57 | 2021 |
| A coarse-to-fine deformable transformation framework for unsupervised multi-contrast MR image registration with dual consistency constraint W Huang, H Yang, X Liu, C Li, I Zhang, R Wang, H Zheng, S Wang IEEE Transactions on Medical Imaging 40 (10), 2589-2599, 2021 | 49 | 2021 |
| Review and prospect: artificial intelligence in advanced medical imaging S Wang, G Cao, Y Wang, S Liao, Q Wang, J Shi, C Li, D Shen Frontiers in radiology 1, 781868, 2021 | 48 | 2021 |
| Learning cross-modal deep representations for multi-modal MR image segmentation C Li, H Sun, Z Liu, M Wang, H Zheng, S Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 46 | 2019 |
| Dense correlation network for automated multi-label ocular disease detection with paired color fundus photographs C Li, J Ye, J He, S Wang, Y Qiao, L Gu 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 1-4, 2020 | 37 | 2020 |
| Self-supervised learning for mri reconstruction with a parallel network training framework C Hu, C Li, H Wang, Q Liu, H Zheng, S Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 35 | 2021 |
| Model-based convolutional de-aliasing network learning for parallel MR imaging Y Chen, T Xiao, C Li, Q Liu, S Wang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 27 | 2019 |
| Glioma grading prediction by exploring radiomics and deep learning features T Xiao, W Hua, C Li, S Wang Proceedings of the Third International Symposium on Image Computing and …, 2019 | 23 | 2019 |
| Artificial intelligence in multiparametric magnetic resonance imaging: A review C Li, W Li, C Liu, H Zheng, J Cai, S Wang Medical Physics 49 (10), e1024-e1054, 2022 | 21 | 2022 |
| Anti-drift in electronic nose via dimensionality reduction: A discriminative subspace projection approach Z Yi, C Li IEEE Access 7, 170087-170095, 2019 | 20 | 2019 |
| Self-speculation of clinical features based on knowledge distillation for accurate ocular disease classification J He, C Li, J Ye, Y Qiao, L Gu Biomedical Signal Processing and Control 67, 102491, 2021 | 18 | 2021 |
| Classification of ocular diseases employing attention-based unilateral and bilateral feature weighting and fusion J He, C Li, J Ye, S Wang, Y Qiao, L Gu 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1258-1261, 2020 | 17 | 2020 |
| A novel hybrid convolutional neural network for accurate organ segmentation in 3d head and neck CT images Z Chen, C Li, J He, J Ye, D Song, S Wang, L Gu, Y Qiao Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 15 | 2021 |
| SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging J Zou, C Li, S Jia, R Wu, T Pei, H Zheng, S Wang Bioengineering 9 (11), 650, 2022 | 12 | 2022 |
