Densely connected attention network for diagnosing COVID-19 based on chest CT. - Yu Fu 013; Peng Xue; Enqing Dong (Comput. Biol. Medicine, 2021)

Fusion of 3D lung CT and serum biomarkers for diagnosis of multiple pathological types on pulmonary nodules. - Yu Fu 013; Peng Xue; Ning Li; Peng Zhao; Zhuodong Xu; Huizhong Ji; Zhili Zhang; Wentao Cui; Enqing Dong (Comput. Methods Programs Biomed., 2021)

Lung Respiratory Motion Estimation Based on Fast Kalman Filtering and 4D CT Image Registration. - Peng Xue; Yu Fu 013; Huizhong Ji; Wentao Cui; Enqing Dong (IEEE J. Biomed. Health Informatics, 2021)

3D multi-resolution deep learning model for diagnosis of multiple pathological types on pulmonary nodules. - Yu Fu 013; Peng Xue; Peng Zhao; Ning Li; Zhuodong Xu; Huizhong Ji; Zhili Zhang; Wentao Cui; Enqing Dong (Int. J. Imaging Syst. Technol., 2022)

3D multi-resolution attention capsule network for diagnosing multi-pathological types of pulmonary nodules. - Zhili Zhang; Taohui Xiao; Yu Fu 013; Yuqiang Gao; Meirong Ren; Wentao Cui; Enqing Dong (Int. J. Imaging Syst. Technol., 2022)

Harmony Loss for Unbalanced Prediction. - Yu Fu 013; Peng Xue; Meirong Ren; Enqing Dong (IEEE J. Biomed. Health Informatics, 2022)

Effective lung ventilation estimation based on 4D CT image registration and supervoxels. - Peng Xue; Yu Fu 013; Jingyang Zhang; Lei Ma; Meirong Ren; Zhili Zhang; Enqing Dong (Biomed. Signal Process. Control., 2023)

Semi-Supervised Adversarial Learning for Improving the Diagnosis of Pulmonary Nodules. - Yu Fu 013; Peng Xue; Taohui Xiao; Zhili Zhang; Youren Zhang; Enqing Dong (IEEE J. Biomed. Health Informatics, 2023)

Qualitative analysis of PD-L1 expression in non-small-cell lung cancer based on chest CT radiomics. - Yu Fu 013; Hong Zhang; Peng Xue; Meirong Ren; Taohui Xiao; Zhili Zhang; Yong Huang; Enqing Dong (Biomed. Signal Process. Control., 2023)

PKA2-Net: Prior Knowledge-Based Active Attention Network for Accurate Pneumonia Diagnosis on Chest X-Ray Images. - Yu Fu 013; Peng Xue; Zhili Zhang; Enqing Dong (IEEE J. Biomed. Health Informatics, 2023)

SSAL-Net: Semi-supervised network integrating self-supervised adversarial learning for diagnosing subtypes of pulmonary nodules. - Yu Fu 013; Changli Liu; Shaoqiang Wang; Enqing Dong; Hui Xia (Biomed. Signal Process. Control., 2024)