USBDAN: Unsupervised Scale-aware and Boundary-aware Domain Adaptive Network for Gastric Tumor Segmentation. - Yongtao Zhang; Ning Yuan; Bing Liu; Aocai Yang; Hongwei Yu; Kuan Lv; Jixin Luan; Pianpian Hu; Haijun Lei; Tianfu Wang 001; Guolin Ma; Baiying Lei (EMBC, 2023)

Evaluation of whole-brain oxygen metabolism in Alzheimer's disease using QSM and quantitative BOLD. - Aocai Yang; Hangwei Zhuang; Lei Du; Bing Liu; Kuan Lv; Jixin Luan; Pianpian Hu; Feng Chen; Kai Wu; Ni Shu; Amir Shmuel; Guolin Ma; et al. (NeuroImage, 2023)

Associations of quantitative susceptibility mapping with cortical atrophy and brain connectome in Alzheimer's disease: A multi-parametric study. - Haojie Chen; Aocai Yang; Weijie Huang; Lei Du; Bing Liu; Kuan Lv; Jixin Luan; Pianpian Hu; Amir Shmuel; Ni Shu; Guolin Ma (NeuroImage, 2024)

A self-supervised representation learning paradigm with global content perception and peritumoral context restoration for MRI breast tumor segmentation. - Xianqi Meng; Hongwei Yu; Jingfan Fan; Jinrong Mu; Huang Chen; Jixin Luan; Manxi Xu; Ying Gu; Guolin Ma; Jian Yang 009 (Biomed. Signal Process. Control., 2025)

Computer-aided diagnosis of pituitary microadenoma on dynamic contrast-enhanced MRI based on spatio-temporal features. - Te Guo 003; Jixin Luan; Jingyuan Gao; Bing Liu; Tianyu Shen; Hongwei Yu; Guolin Ma; Kunfeng Wang (Expert Syst. Appl., 2025)

Anatomic-kinetic fusion network for pituitary gland and microadenoma segmentation in multi-phase DCE-MRI. - Xiangyu Li 004; Yifan Liu; Manxi Xu; Hongwei Yu; Jixin Luan; Aocai Yang; Bing Liu; Amir Shmuel; Yuan Zhen; Gongning Luo; Wei Wang 169; Guolin Ma; et al. (Inf. Fusion, 2026)