Volume-awareness and outlier-suppression co-training for weakly-supervised MRI breast mass segmentation with partial annotations. - Xianqi Meng; Jingfan Fan; Hongwei Yu; Jinrong Mu; Zongyu Li; Aocai Yang; Bing Liu; Kuan Lv; Danni Ai; Yucong Lin; Hong Song; Tianyu Fu 003; et al. (Knowl. Based Syst., 2022)

Unsupervised domain selective graph convolutional network for preoperative prediction of lymph node metastasis in gastric cancer. - Yongtao Zhang; Ning Yuan; Zhiguo Zhang 001; Jie Du 001; Tianfu Wang 001; Bing Liu; Aocai Yang; Kuan Lv; Guolin Ma; Baiying Lei (Medical Image Anal., 2022)

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)