Automatic Liver Segmentation in CT Volumes with Improved 3D U-net. - Chunlei Liu 007; Deqi Cui; Dejun Shi; Zhiqiang Hu; Yuan Qin; Jinyi Lang (ISICDM, 2018)

Automatic Primary Gross Tumor Volume Segmentation for Nasopharyngeal Carcinoma using ResSE-UNet. - Zhihao Jin; Xuechen Li 001; Linlin Shen; Jinyi Lang; Jie Li; Junxiang Wu; Peng Xu; Jiang Duan (CBMS, 2020)

Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis. - Yiling Wang; Elia Lombardo; Michele Avanzo; Sebastian Zschaek; Julian Weingärtner; Adrien Holzgreve; Nathalie L. Albert; Sebastian Marschner; Giuseppe Fanetti; Giovanni Franchin; Joseph Stancanello; Franziska Walter; et al. (Comput. Methods Programs Biomed., 2022)

MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images. - Hailin Yue; Jin Liu 012; Junjian Li; Hulin Kuang; Jinyi Lang; Jianhong Cheng; Lin Peng; Yongtao Han; Harrison X. Bai; Yu-Ping Wang 002; Qifeng Wang; Jianxin Wang 001 (Medical Image Anal., 2022)