| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1775 | 2018 |
| Combining structured and unstructured data for predictive models: a deep learning approach D Zhang, C Yin, J Zeng, X Yuan, P Zhang BMC medical informatics and decision making 20, 1-11, 2020 | 167 | 2020 |
| Measuring patient similarities via a deep architecture with medical concept embedding Z Zhu, C Yin, B Qian, Y Cheng, J Wei, F Wang 2016 IEEE 16th International Conference on Data Mining (ICDM), 749-758, 2016 | 144 | 2016 |
| Contrastive attention for automatic chest x-ray report generation F Liu, C Yin, X Wu, S Ge, Y Zou, P Zhang, X Sun arXiv preprint arXiv:2106.06965, 2021 | 125 | 2021 |
| 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 |
| Domain knowledge guided deep learning with electronic health records C Yin, R Zhao, B Qian, X Lv, P Zhang 2019 IEEE International Conference on Data Mining (ICDM), 738-747, 2019 | 76 | 2019 |
| Deep similarity-based batch mode active learning with exploration-exploitation C Yin, B Qian, S Cao, X Li, J Wei, Q Zheng, I Davidson 2017 IEEE international conference on data mining (ICDM), 575-584, 2017 | 60 | 2017 |
| An interpretable deep-learning model for early prediction of sepsis in the emergency department D Zhang, C Yin, KM Hunold, X Jiang, JM Caterino, P Zhang Patterns 2 (2), 2021 | 39 | 2021 |
| Identifying sepsis subphenotypes via time-aware multi-modal auto-encoder C Yin, R Liu, D Zhang, P Zhang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 36 | 2020 |
| 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 |
| Study on automatic detection and classification of breast nodule using deep convolutional neural network system F Wang, X Liu, N Yuan, B Qian, L Ruan, C Yin, C Jin Journal of Thoracic Disease 12 (9), 4690, 2020 | 30 | 2020 |
| 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 |
| Marrying medical domain knowledge with deep learning on electronic health records: a deep visual analytics approach R Li, C Yin, S Yang, B Qian, P Zhang Journal of medical Internet research 22 (9), e20645, 2020 | 26 | 2020 |
| An interpretable risk prediction model for healthcare with pattern attention SA Kamal, C Yin, B Qian, P Zhang BMC medical informatics and decision making 20, 1-10, 2020 | 15 | 2020 |
| Estimating individual treatment effects with time-varying confounders R Liu, C Yin, P Zhang 2020 IEEE International Conference on Data Mining (ICDM), 382-391, 2020 | 15 | 2020 |
| Knowledge guided short-text classification for healthcare applications S Cao, B Qian, C Yin, X Li, J Wei, Q Zheng, I Davidson 2017 IEEE International Conference on Data Mining (ICDM), 31-40, 2017 | 13 | 2017 |
| Cardiac complication risk profiling for cancer survivors via multi-view multi-task learning TH Pham, C Yin, L Mehta, X Zhang, P Zhang 2021 IEEE International Conference on Data Mining (ICDM), 499-508, 2021 | 9 | 2021 |
| Brain atlas guided attention U-net for white matter hyperintensity segmentation Z Zhang, K Powell, C Yin, S Cao, D Gonzalez, Y Hannawi, P Zhang AMIA Summits on Translational Science Proceedings 2021, 663, 2021 | 6 | 2021 |
| A survival model generalized to regression learning algorithms Y Guan, H Li, D Yi, D Zhang, C Yin, K Li, P Zhang Nature computational science 1 (6), 433-440, 2021 | 5 | 2021 |
| Spatial attention lesion detection on automated breast ultrasound F Wang, X Liu, B Qian, L Ruan, R Zhao, C Yin, N Yuan, R Wei, X Ma, ... Bioinformatics and Biomedical Engineering: 7th International Work-Conference …, 2019 | 4 | 2019 |
