POPCORN: A web service for individual PrognOsis prediction based on multi-center clinical data CollabORatioN without patient-level data sharing. - Yu Tian 002; Yong Shang; Dan-Yang Tong; Shengqiang Chi; Jun Li 099; Xiang-Xing Kong; Ke-Feng Ding; Jing-Song Li 001 (J. Biomed. Informatics, 2018)

Semi-supervised learning to improve generalizability of risk prediction models. - Shengqiang Chi; Xinhang Li; Yu Tian 002; Jun Li 099; Xiang-Xing Kong; Ke-Feng Ding; Chunhua Weng; Jing-Song Li 001 (J. Biomed. Informatics, 2019)

A multicenter random forest model for effective prognosis prediction in collaborative clinical research network. - Jin Li; Yu Tian 002; Yan Zhu; Tianshu Zhou; Jun Li 099; Kefeng Ding; Jingsong Li 001 (Artif. Intell. Medicine, 2020)

An automated detection system for colonoscopy images using a dual encoder-decoder model. - Maxwell Hwang; Da Wang; Xiang-Xing Kong; Zhanhuai Wang; Jun Li 099; Wei-Cheng Jiang; Kao-Shing Hwang; Kefeng Ding (Comput. Medical Imaging Graph., 2020)

Establishment and evaluation of a multicenter collaborative prediction model construction framework supporting model generalization and continuous improvement: A pilot study. - Yu Tian 002; Weiguo Chen; Tianshu Zhou; Jun Li 099; Kefeng Ding; Jingsong Li 001 (Int. J. Medical Informatics, 2020)

Improving prediction performance of colon cancer prognosis based on the integration of clinical and multi-omics data. - Dan-Yang Tong; Yu Tian 002; Tianshu Zhou; Qiancheng Ye; Jun Li 099; Kefeng Ding; Jing-song Li 001 (BMC Medical Informatics Decis. Mak., 2020)

Improving prediction for medical institution with limited patient data: Leveraging hospital-specific data based on multicenter collaborative research network. - Jin Li; Yu Tian 002; Runze Li; Tianshu Zhou; Jun Li 099; Kefeng Ding; Jingsong Li 001 (Artif. Intell. Medicine, 2021)