CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study. - Mengjie Fang; Bingxi He; Li Li; Di Dong; Xin Yang 001; Cong Li; Lingwei Meng; Lianzhen Zhong; Hailin Li; Hongjun Li; Jie Tian 001 (Sci. China Inf. Sci., 2020)

The potential of prostate gland radiomic features in identifying the Gleason score. - Lixin Gong; Min Xu; Mengjie Fang; Bingxi He; Hailin Li; Xiangming Fang; Di Dong; Jie Tian 001 (Comput. Biol. Medicine, 2022)

Cross-domain knowledge transfer based parallel-cascaded multi-scale attention network for limited view reconstruction in projection magnetic particle imaging. - Xiangjun Wu; Pengli Gao; Peng Zhang 092; Yaxin Shang; Bingxi He; Liwen Zhang; Jingying Jiang; Hui Hui; Jie Tian 001 (Comput. Biol. Medicine, 2023)

A multi-view co-training network for semi-supervised medical image-based prognostic prediction. - Hailin Li; Siwen Wang; Bo Liu; Mengjie Fang; Runnan Cao; Bingxi He; Shengyuan Liu; Chaoen Hu; Di Dong; Ximing Wang; Hexiang Wang; Jie Tian 001 (Neural Networks, 2023)

Enhancing Prognostic Prediction of Gastrointestinal Stromal Tumors Using Semi-Supervised Regression Based on CT Imaging Data. - Hailin Li; Mengjie Fang; Bingxi He; Di Dong; Jie Tian 001 (EMBC, 2024)

ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised Contrastive Learning. - Hailin Li; Di Dong; Mengjie Fang; Bingxi He; Shengyuan Liu; Chaoen Hu; Zaiyi Liu; Hexiang Wang; Linglong Tang; Jie Tian 001 (IEEE J. Biomed. Health Informatics, 2025)