AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data. - Ruoqi Wang; Ziwang Huang; Haitao Wang 026; Hejun Wu (BIBM, 2021)

Integration of Patch Features Through Self-supervised Learning and Transformer for Survival Analysis on Whole Slide Images. - Ziwang Huang; Hua Chai; Ruoqi Wang; Haitao Wang 026; Yuedong Yang; Hejun Wu (MICCAI (8), 2021)

Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images. - Ying Song; Shuangjia Zheng; Liang Li; Xiang Zhang; Xiaodong Zhang; Ziwang Huang; Jianwen Chen; Ruixuan Wang; Huiying Zhao; Yutian Chong; Jun Shen 008; Yunfei Zha; et al. (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A coarse-refine segmentation network for COVID-19 CT images. - Ziwang Huang; Liang Li; Xiang Zhang; Ying Song; Jianwen Chen; Huiying Zhao; Yutian Chong; Hejun Wu; Yuedong Yang; Jun Shen 008; Yunfei Zha (IET Image Process., 2022)