iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients. - Jun Wang 072; Chen Liu 026; Jingwen Li; Cheng Yuan 002; Lichi Zhang; Cheng Jin 005; Jianwei Xu; Yaqi Wang 002; Yaofeng Wen; Hongbing Lu; Biao Li; Chang Chen; et al. (npj Digit. Medicine, 2021)

An objective quantitative diagnosis of depression using a local-to-global multimodal fusion graph neural network. - Shuyu Liu; Jingjing Zhou; Xuequan Zhu; Ya Zhang 002; Xinzhu Zhou; Shaoting Zhang 001; Zhi Yang; Ziji Wang; Ruoxi Wang; Yizhe Yuan; Xin Fang; Xiongying Chen; et al. (Patterns, 2024)

Brain Age Prediction Based on Quantitative Susceptibility Mapping Using the Segmentation Transformer. - Mingxing Chen; Yiqing Wang; Yuting Shi; Jie Feng 013; Ruimin Feng; Xiaojun Guan; Xiaojun Xu; Yuyao Zhang; Cheng Jin 005; Hongjiang Wei (IEEE J. Biomed. Health Informatics, 2024)

RECISTSurv: Hybrid Multi-Task Transformer for Hepatocellular Carcinoma Response and Survival Evaluation. - Rushi Jiao; Qiuping Liu; Yao Zhang 010; Bangzheng Pu; Bingsen Xue; Yi Cheng; Kailan Yang; Xisheng Liu; Jinrong Qu; Cheng Jin 005; Ya Zhang 002; Yanfeng Wang 001; et al. (IEEE Trans. Image Process., 2025)