A 3D boundary-guided hybrid network with convolutions and Transformers for lung tumor segmentation in CT images. - Hong Liu 005; Yuzhou Zhuang; Enmin Song; Yongde Liao; Guanchao Ye; Fan Yang; Xiangyang Xu; Xvhao Xiao; Chih-Cheng Hung (Comput. Biol. Medicine, 2024)

Data-efficient federated semi-supervised learning framework via pseudo supervision refinement strategy for lung tumor segmentation. - Weixing Li; Xipeng Pan; Zhen Zhang 058; Guangyao Wu; Guanchao Ye; Leonard Wee; Andre Dekker; Chu Han; Lei Shi; Zaiyi Liu; Zhenbing Liu; Zhenwei Shi (Biomed. Signal Process. Control., 2025)

Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation. - Zhenbing Liu; Weixing Li; Yanfen Cui; Xin Chen 058; Xipeng Pan; Guanchao Ye; Guangyao Wu; Yongde Liao; Leroy Volmer; Leonard Wee; Andre Dekker; Chu Han; et al. (Expert Syst. Appl., 2025)