A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. - Zekun Li 010; Wei Zhao 040; Feng Shi 001; Lei Qi 001; Xingzhi Xie; Ying Wei 009; Zhongxiang Ding; Yang Gao 001; Shangjie Wu; Jun Liu 075; Yinghuan Shi; Dinggang Shen (Medical Image Anal., 2021)

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images. - Jianhong Cheng; Wei Zhao 040; Jin Liu 012; Xingzhi Xie; Shangjie Wu; Liangliang Liu 001; Hailin Yue; Junjian Li; Jianxin Wang 001; Jun Liu 075 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Dual-Domain Feature Interaction Network for Automatic Colorectal Polyp Segmentation. - Guanghui Yue 001; Yuanyan Li; Shangjie Wu; Bin Jiang 003; Tianwei Zhou; Weiqing Yan; Hanhe Lin; Tianfu Wang 001 (IEEE Trans. Instrum. Meas., 2024)

Adaptive Context Aggregation Network With Prediction-Aware Decoding for Multimodal Brain Tumor Segmentation. - Guanghui Yue 001; Shangjie Wu; Jie Du 001; Tianwei Zhou; Bin Jiang 003; Tianfu Wang 001 (IEEE Trans. Instrum. Meas., 2024)

Progressive Region-to-Boundary Exploration Network for Camouflaged Object Detection. - Guanghui Yue 001; Shangjie Wu; Tianwei Zhou; Gang Li; Jie Du 001; Yu Luo 004; Qiuping Jiang (IEEE Trans. Multim., 2025)

Boundary-Guided Feature-Aligned Network for Colorectal Polyp Segmentation. - Guanghui Yue 001; Shangjie Wu; Gang Li; Cheng Zhao 003; Yi Hao; Tianwei Zhou; Baoquan Zhao (IEEE Trans. Circuits Syst. Video Technol., 2025)