A Coarse-to-Fine Framework for Head and Neck Tumor Segmentation in CT and PET Images. - Chengyang An; Huai Chen; Lisheng Wang (HECKTOR@MICCAI, 2021)

Unsupervised Retinal Lesion Detection by Learning to Restore Corrupted Fundus Images. - Hao Liu; Yuchen Du; Chengyang An; Lisheng Wang (ISBI, 2022)

A Coarse-to-Fine Ensembling Framework for Head and Neck Tumor and Lymph Segmentation in CT and PET Images. - Xiao Sun; Chengyang An; Lisheng Wang (HECKTOR@MICCAI, 2022)

Individualized Statistical Modeling of Lesions in Fundus Images for Anomaly Detection. - Yuchen Du; Lisheng Wang; Deyu Meng; Benzhi Chen; Chengyang An; Hao Liu; Weiping Liu; Yupeng Xu; Ying Fan; Dagan Feng 001; Xiuying Wang 001; Xun Xu (IEEE Trans. Medical Imaging, 2023)

A heuristic method for rapid and automatic radiofrequency ablation planning of liver tumors. - Ruikun Li 004; Chengyang An; Shuxin Wang; Guisheng Wang; Lifeng Zhao; Yizhou Yu; Lisheng Wang (Int. J. Comput. Assist. Radiol. Surg., 2023)

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. - Xiangde Luo; Jia Fu; Yunxin Zhong; Shuolin Liu; Bing Han; Mehdi Astaraki; Simone Bendazzoli; Iuliana Toma-Dasu; Yiwen Ye; Ziyang Chen 003; Yong Xia 001; Yanzhou Su; et al. (Medical Image Anal., 2025)