Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis. - Shuo Wang; Zhenyu Liu; Xi Chen 102; Yongbei Zhu; Hongyu Zhou; Zhenchao Tang; Wei Wei 022; Di Dong; Meiyun Wang; Jie Tian 001 (EMBC, 2018)

Radiomics: a Novel CT-Based Method of Predicting Postoperative Recurrence in Ovarian Cancer. - Wei Wei 022; Yu Rong; Zhenyu Liu; Bin Zhou; Zhenchao Tang; Shuo Wang; Di Dong; Yali Zang; Yingkun Guo (EMBC, 2018)

A Novel MRI-Based Radiomics Model for Predicting Recurrence in Chordoma. - Wei Wei 022; Ke Wang; Kaibing Tian; Zhenyu Liu; Liang Wang; Junting Zhang; Zhenchao Tang; Shuo Wang; Di Dong; Yali Zang; Yuan Gao 009; Zhen Wu; et al. (EMBC, 2018)

Deep learning with whole slide images can improve the prognostic risk stratification with stage III colorectal cancer. - Caixia Sun; Bingbing Li; Genxia Wei; Weihao Qiu; Danyi Li; Xiangzhao Li; Xiangyu Liu; Wei Wei 022; Shuo Wang; Zhenyu Liu; Jie Tian 001; Li Liang (Comput. Methods Programs Biomed., 2022)

Development of Prognostic Biomarkers by TMB-Guided WSI Analysis: A Two-Step Approach. - Xiangyu Liu; Zhenyu Liu; Ye Yan; Kai Wang; Aodi Wang; Xiongjun Ye; Liwei Wang; Wei Wei 022; Bao Li; Caixia Sun; Wei He; Xuehua Zhu; et al. (IEEE J. Biomed. Health Informatics, 2023)

A multi-scale, multi-task fusion UNet model for accurate breast tumor segmentation. - Shuo Dai; Xueyan Liu 004; Wei Wei 022; Xiaoping Yin; Lishan Qiao; Jianing Wang; Yu Zhang 009; Yan Hou (Comput. Methods Programs Biomed., 2025)