Computer Aided Annotation of Early Esophageal Cancer in Gastroscopic Images based on Deeplabv3+ Network. - Ding-Yun Liu; Hong Xiu Jiang; Ni Ni Rao; Cheng-Si Luo; Wen Ju Du 002; Zheng Wen Li; Tao Gan (ICBIP, 2019)

Non-Weighted L2-Gain Control for Asynchronously Switched Linear Systems With Detectable Switching Instants and Ranged Mode-Identifying Time. - Sheng Bao; Wenju Du 002; Yuan Sun; Xiaozeng Xu; Hongbin Zhang 002 (IEEE Access, 2019)

Review on the Applications of Deep Learning in the Analysis of Gastrointestinal Endoscopy Images. - Wenju Du 002; Nini Rao; Ding-Yun Liu; Hongxiu Jiang; Cheng-Si Luo; Zheng Wen Li; Tao Gan; Bing Zeng (IEEE Access, 2019)

Depth Information-Based Automatic Annotation of Early Esophageal Cancers in Gastroscopic Images Using Deep Learning Techniques. - Ding-Yun Liu; Hongxiu Jiang; Nini Rao; Wenju Du 002; Cheng-Si Luo; Zheng Wen Li; Linlin Zhu; Tao Gan (IEEE Access, 2020)

Automatic Early Gastric Cancer Segmentation in Gastroscopic Images Based on ResUnet. - Wenju Du 002; Nini Rao; Jiahao Yong; Yingchun Wang; Dingcan Hu; Tao Gan; Linlin Zhu (ICBBE, 2021)

Sampled-Data Control for Asynchronously Switched Linear Systems Without MDT Constraints. - Yang Li 043; Wenju Du 002; Xiaozeng Xu; Hongbin Zhang 002 (IEEE Access, 2021)

Examining the effect of synthetic data augmentation in polyp detection and segmentation. - Prince Ebenezer Adjei; Zenebe Markos Lonseko; Wenju Du 002; Han Zhang; Nini Rao (Int. J. Comput. Assist. Radiol. Surg., 2022)

Improving the Classification Performance of Esophageal Disease on Small Dataset by Semi-supervised Efficient Contrastive Learning. - Wenju Du 002; Nini Rao; Jiahao Yong; Yingchun Wang; Dingcan Hu; Tao Gan; Linlin Zhu; Bing Zeng (J. Medical Syst., 2022)

Early gastric cancer segmentation in gastroscopic images using a co-spatial attention and channel attention based triple-branch ResUnet. - Wenju Du 002; Nini Rao; Jiahao Yong; Prince Ebenezer Adjei; Xiaoming Hu; Xiaotong Wang; Tao Gan; Linlin Zhu; Bing Zeng; Mengyuan Liu; Yongxue Xu (Comput. Methods Programs Biomed., 2023)