Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIs. - Bing-Zhong Jing; Yishu Deng; Tao Zhang 060; Dan Hou; Bin Li; Mengyun Qiang; Kuiyuan Liu; Liangru Ke; Taihe Li; Ying Sun; Xing Lv; Chao-Feng Li (Comput. Methods Programs Biomed., 2020)

BezierSeg: Parametric Shape Representation for Fast Object Segmentation in Medical Images. - Haichou Chen; Yishu Deng; Bin Li; Zeqin Li; Haohua Chen; Bing-Zhong Jing; Chaofeng Li (CoRR, 2021)

The contrast-enhanced MRI can be substituted by unenhanced MRI in identifying and automatically segmenting primary nasopharyngeal carcinoma with the aid of deep learning models: An exploratory study in large-scale population of endemic area. - Yishu Deng; Chaofeng Li; Xing Lv; Weixiong Xia; Lujun Shen; Bing-Zhong Jing; Bin Li; Xiang Guo; Ying Sun; Chuanmiao Xie; Liangru Ke (Comput. Methods Programs Biomed., 2022)

TGAP-Net: Twin Graph Attention Pseudo-Label Generation for Weakly Supervised Semantic Segmentation. - Haohua Chen; Yishu Deng; Zhensheng Hu; Bin Li; Bing-Zhong Jing; Chaofeng Li (IEEE J. Biomed. Health Informatics, 2025)