| 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 | 52 | 2021 |
| A Deep Residual Sparse and Cross Domain Reconstruction Network for Dynamic MR Imaging Z Peng, J Li, C Li, L Zhang, H Zheng, S Wang Proceedings of the 2020 9th International Conference on Computing and …, 2020 | 1 | 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 |
| 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 | 144 | 2018 |
| Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI Y Wang, W Huang, C Li, X Zheng, Y Lin, S Wang 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-4, 2023 | 1 | 2023 |
| 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 | 117 | 2021 |
| Anti-drift in electronic nose via dimensionality reduction: A discriminative subspace projection approach Z Yi, C Li IEEE Access 7, 170087-170095, 2019 | 21 | 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 | 24 | 2022 |
| Asynchronous feature regularization and cross-modal distillation for OCT based glaucoma diagnosis D Song, F Li, C Li, J Xiong, J He, X Zhang, Y Qiao Computers in Biology and Medicine 151, 106283, 2022 | 3 | 2022 |
| 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 | 141 | 2020 |
| Automated classification of protein expression levels in immunohistochemistry images to improve the detection of cancer biomarkers ZZ Xue, C Li, ZM Luo, SS Wang, YY Xu BMC bioinformatics 23 (1), 470, 2022 | 3 | 2022 |
| 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 | 19 | 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 | 79 | 2019 |
| Collaborative Learning for Annotation‐Efficient Volumetric MR Image Segmentation YBM Osman, C Li, W Huang, S Wang Journal of Magnetic Resonance Imaging, 2023 | 1 | 2023 |
| Collaborative Multi-View Convolutions With Gating For Accurate And Fast Volumetric Medical Image Segmentation C Li, J Ye, J He, S Wang, L Gu, Y Qiao 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 571-574, 2021 | 3 | 2021 |
| 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 | 42 | 2020 |
| Digest: Deeply supervised knowledge transfer network learning for brain tumor segmentation with incomplete multi-modal mri scans H Li, C Li, W Huang, X Zheng, Y Xi, S Wang 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-4, 2023 | 3 | 2023 |
| Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading Y Wang, L Li, C Li, Y Xi, Y Lin, S Wang Biomedical Signal Processing and Control 85, 104876, 2023 | | 2023 |
| 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 | 24 | 2019 |
| Group shift pointwise convolution for volumetric medical image segmentation J He, J Ye, C Li, D Song, W Chen, S Wang, L Gu, Y Qiao Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 3 | 2021 |
