| Rethinking dice loss for medical image segmentation R Zhao, B Qian, X Zhang, Y Li, R Wei, Y Liu, Y Pan 2020 IEEE International Conference on Data Mining (ICDM), 851-860, 2020 | 125 | 2020 |
| Automatic generation of medical imaging diagnostic report with hierarchical recurrent neural network C Yin, B Qian, J Wei, X Li, X Zhang, Y Li, Q Zheng 2019 IEEE international conference on data mining (ICDM), 728-737, 2019 | 90 | 2019 |
| Graph neural network-based diagnosis prediction Y Li, B Qian, X Zhang, H Liu Big data 8 (5), 379-390, 2020 | 72 | 2020 |
| Instance-based vision transformer for subtyping of papillary renal cell carcinoma in histopathological image Z Gao, B Hong, X Zhang, Y Li, C Jia, J Wu, C Wang, D Meng, C Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 62 | 2021 |
| INPREM: An interpretable and trustworthy predictive model for healthcare X Zhang, B Qian, S Cao, Y Li, H Chen, Y Zheng, I Davidson Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 46 | 2020 |
| A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images Z Gao, B Hong, Y Li, X Zhang, J Wu, C Wang, X Zhang, T Gong, Y Zheng, ... Medical Image Analysis 83, 102652, 2023 | 35 | 2023 |
| KnowRisk: An interpretable knowledge-guided model for disease risk prediction X Zhang, B Qian, Y Li, C Yin, X Wang, Q Zheng 2019 IEEE International Conference on Data Mining (ICDM), 1492-1497, 2019 | 34 | 2019 |
| Nuclei grading of clear cell renal cell carcinoma in histopathological image by composite high-resolution network Z Gao, J Shi, X Zhang, Y Li, H Zhang, J Wu, C Wang, D Meng, C Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 20 | 2021 |
| Knowledge guided diagnosis prediction via graph spatial-temporal network Y Li, B Qian, X Zhang, H Liu Proceedings of the 2020 SIAM International Conference on Data Mining, 19-27, 2020 | 17 | 2020 |
| Leveraging multiple types of domain knowledge for safe and effective drug recommendation J Wu, B Qian, Y Li, Z Gao, M Ju, Y Yang, Y Zheng, T Gong, C Li, X Zhang Proceedings of the 31st ACM international conference on information …, 2022 | 15 | 2022 |
| Learning robust patient representations from multi-modal electronic health records: a supervised deep learning approach X Zhang, B Qian, Y Li, Y Liu, X Chen, C Guan, C Li Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 15 | 2021 |
| A structure-aware hierarchical graph-based multiple instance learning framework for pt staging in histopathological image J Shi, L Tang, Y Li, X Zhang, Z Gao, Y Zheng, C Wang, T Gong, C Li IEEE Transactions on Medical Imaging 42 (10), 3000-3011, 2023 | 14 | 2023 |
| Childhood leukemia classification via information bottleneck enhanced hierarchical multi-instance learning Z Gao, A Mao, K Wu, Y Li, L Zhao, X Zhang, J Wu, L Yu, C Xing, T Gong, ... IEEE Transactions on Medical Imaging 42 (8), 2348-2359, 2023 | 12 | 2023 |
| Unsupervised representation learning for tissue segmentation in histopathological images: From global to local contrast Z Gao, C Jia, Y Li, X Zhang, B Hong, J Wu, T Gong, C Wang, D Meng, ... IEEE Transactions on Medical Imaging 41 (12), 3611-3623, 2022 | 10 | 2022 |
| Context-aware and time-aware attention-based model for disease risk prediction with interpretability X Zhang, B Qian, Y Li, S Cao, I Davidson IEEE Transactions on Knowledge and Data Engineering 35 (4), 3551-3562, 2021 | 5 | 2021 |
| Towards interpretability and personalization: A predictive framework for clinical time-series analysis Y Li, X Zhang, B Qian, Z Gao, C Guan, Y Zheng, H Zheng, F Wu, C Li 2021 IEEE International Conference on Data Mining (ICDM), 340-349, 2021 | 3 | 2021 |
| Learning representations from local to global for fine-grained patient similarity measuring in intensive care unit X Zhang, B Qian, Y Li, Z Gao, C Guan, R Wang, Y Zheng, H Zheng, C Li 2022 IEEE International Conference on Data Mining (ICDM), 713-722, 2022 | 2 | 2022 |
| Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images Z Gao, A Mao, J Wu, Y Li, C Wang, C Ding, T Gong, C Li 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 1 | 2022 |
Xianli Zhang（张先礼）Senior Researcher, IEGG, Tencent, Singapore在 tencent.com 的电子邮件经过验证
