| 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 | 110 | 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 | 82 | 2019 |
| Graph Neural Network-Based Diagnosis Prediction Y Li, B Qian, X Zhang, H Liu Big Data 8 (5), 379-390, 2020 | 64 | 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 …, 2021 | 57 | 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 |
| Copner: Contrastive learning with prompt guiding for few-shot named entity recognition Y Huang, K He, Y Wang, X Zhang, T Gong, R Mao, C Li Proceedings of the 29th International Conference on Computational …, 2022 | 43 | 2022 |
| 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 |
| Classifying breast cancer histopathological images using a robust artificial neural network architecture X Zhang, Y Zhang, B Qian, X Liu, X Li, X Wang, C Yin, X Lv, L Song, ... Bioinformatics and Biomedical Engineering: 7th International Work-Conference …, 2019 | 27 | 2019 |
| 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 | 26 | 2023 |
| 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 |
| An Interpretable Fast Model for Predicting The Risk of Heart Failure X Zhang, B Qian, X Li, J Wei, Y Zheng, L Song, Q Zheng Proceedings of the 2019 SIAM International Conference on Data Mining, 576-584, 2019 | 14 | 2019 |
| 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 | 12 | 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 | 12 | 2021 |
| 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, 2023 | 11 | 2023 |
| RECIST-Net: Lesion Detection Via Grouping Keypoints on RECIST-Based Annotation C Xie, S Cao, D Wei, HY Zhou, K Ma, X Zhang, B Qian, L Wang, Y Zheng IEEE International Symposium on Biomedical Imaging (ISBI), 2021 | 11 | 2021 |
| Domain knowledge guided deep atrial fibrillation classification and its visual interpretation X Li, B Qian, J Wei, X Zhang, S Chen, Q Zheng Proceedings of the 28th ACM International Conference on Information and …, 2019 | 11 | 2019 |
| 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, 2023 | 9 | 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, 2022 | 9 | 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, 2021 | 4 | 2021 |
Yang LiXi'an Jiaotong UniversityVerified email at stu.xjtu.edu.cn
