A Weak Supervision-based Framework for Automatic Lung Cancer Classification on Whole Slide Image. - Xiaowei Xu; Runping Hou; Wangyuan Zhao; Haohua Teng; Jianqi Sun; Jun Zhao 010 (EMBC, 2020)

A Self-supervised Learning Based Framework for Automatic Heart Failure Classification on Cine Cardiac Magnetic Resonance Image. - Hai Zhong; Jiaqi Wu; Wangyuan Zhao; Xiaowei Xu; Runping Hou; Lu Zhao; Ziheng Deng; Min Zhang; Jun Zhao 010 (EMBC, 2021)

Self-Supervised Learning Guided Transformer for Survival Prediction of Lung Cancer Using Pathological Images. - Lu Zhao; Runping Hou; Wangyuan Zhao; Lu Qiu; Haohua Teng; Yuchen Han 003; Xiaolong Fu; Jun Zhao 010 (ISBI, 2023)

Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features. - Lu Qiu; Lu Zhao; Runping Hou; Wangyuan Zhao; Shunan Zhang; Zefan Lin; Haohua Teng; Jun Zhao 010 (Comput. Medical Imaging Graph., 2023)

CoADS: Cross attention based dual-space graph network for survival prediction of lung cancer using whole slide images. - Lu Zhao; Runping Hou; Haohua Teng; Xiaolong Fu; Yuchen Han 003; Jun Zhao 010 (Comput. Methods Programs Biomed., 2023)

Automatic classification of heart failure based on Cine-CMR images. - Yuan Xie; Hai Zhong; Jiaqi Wu; Wangyuan Zhao; Runping Hou; Lu Zhao; Xiaowei Xu; Min Zhang; Jun Zhao 010 (Int. J. Comput. Assist. Radiol. Surg., 2024)