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2020 – today
- 2025
[j5]Hailin Li, Di Dong
, Mengjie Fang, Bingxi He, Shengyuan Liu, Chaoen Hu, Zaiyi Liu, Hexiang Wang, Linglong Tang, Jie Tian:
ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised Contrastive Learning. IEEE J. Biomed. Health Informatics 29(2): 1232-1242 (2025)- 2024
- [c1]Hailin Li, Mengjie Fang, Bingxi He, Di Dong, Jie Tian:
Enhancing Prognostic Prediction of Gastrointestinal Stromal Tumors Using Semi-Supervised Regression Based on CT Imaging Data. EMBC 2024: 1-4 - 2023
- [j4]Xiangjun Wu, Pengli Gao, Peng Zhang, Yaxin Shang, Bingxi He, Liwen Zhang, Jingying Jiang, Hui Hui, Jie Tian:
Cross-domain knowledge transfer based parallel-cascaded multi-scale attention network for limited view reconstruction in projection magnetic particle imaging. Comput. Biol. Medicine 158: 106809 (2023) - [j3]Hailin Li, Siwen Wang, Bo Liu, Mengjie Fang, Runnan Cao, Bingxi He, Shengyuan Liu, Chaoen Hu, Di Dong, Ximing Wang, Hexiang Wang, Jie Tian:
A multi-view co-training network for semi-supervised medical image-based prognostic prediction. Neural Networks 164: 455-463 (2023) - 2022
- [j2]Lixin Gong, Min Xu, Mengjie Fang, Bingxi He, Hailin Li, Xiangming Fang, Di Dong, Jie Tian:
The potential of prostate gland radiomic features in identifying the Gleason score. Comput. Biol. Medicine 144: 105318 (2022) - 2020
- [j1]Mengjie Fang, Bingxi He, Li Li, Di Dong, Xin Yang, Cong Li, Lingwei Meng, Lianzhen Zhong, Hailin Li, Hongjun Li, Jie Tian:
CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study. Sci. China Inf. Sci. 63(7) (2020)
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