| DT-MIL: deformable transformer for multi-instance learning on histopathological image H Li, F Yang, Y Zhao, X Xing, J Zhang, M Gao, J Huang, L Wang, J Yao Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 95 | 2021 |
| Categorical relation-preserving contrastive knowledge distillation for medical image classification X Xing, Y Hou, H Li, Y Yuan, H Li, MQH Meng Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 42 | 2021 |
| Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis X Xing, F Yang, H Li, J Zhang, Y Zhao, M Gao, J Huang, J Yao Bioinformatics 38 (8), 2178-2186, 2022 | 38 | 2022 |
| Multi-modal multi-instance learning using weakly correlated histopathological images and tabular clinical information H Li, F Yang, X Xing, Y Zhao, J Zhang, Y Liu, M Han, J Huang, L Wang, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 32 | 2021 |
| Superpixel-guided label softening for medical image segmentation H Li, D Wei, S Cao, K Ma, L Wang, Y Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 32 | 2020 |
| An interpretable multi-level enhanced graph attention network for disease diagnosis with gene expression data X Xing, F Yang, H Li, J Zhang, Y Zhao, M Gao, J Huang, J Yao 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 17 | 2021 |
| Preoperative prediction of lymph node metastasis in colorectal cancer with deep learning H Liu, Y Zhao, F Yang, X Lou, F Wu, H Li, X Xing, T Peng, B Menze, ... BME frontiers 2022, 2022 | 13 | 2022 |