The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural Networks. - Guo, Quan; Wang, Chengdi; Guo, Jixiang; Bai, Hongli; Xu, Xiuyuan; Yang, Lan; Wang, Jianyong; Chen, Nan; Wang, Zihuai; Gan, Yuncui; Liu, Lunxu; Li, Weimin; et al. (Comput. Methods Programs Biomed., 2023)

A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer. - Li, Zhe; Wang, Shuo; Yu, He; Zhu, Yongbei; Wu, Qingxia; Wang, Liusu; Wu, Zhangjie; Gan, Yuncui; Li, Weimin; Qiu, Bensheng; Tian, Jie (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks. - Xu, Xiuyuan; Wang, Chengdi; Guo, Jixiang; Gan, Yuncui; Wang, Jianyong; Bai, Hongli; Zhang, Lei; Li, Weimin; Yi, Zhang (Medical Image Anal., 2020)