Global Context Instructive Network for Extreme Crowd Counting. - Yuanyuan Wang 009; Xing Wang 013; Xiangzhi Bai; Tao Zhao; Yongce Cheng (IEEE Access, 2020)

Ischemic Stroke Lesion Segmentation Using Multi-Plane Information Fusion. - Long Zhang; Ruoning Song; Yuanyuan Wang 009; Chuang Zhu; Jun Liu 014; Jie Yang 023; Lian Liu (IEEE Access, 2020)

Light Transport Induced Domain Adaptation for Semantic Segmentation in Thermal Infrared Urban Scenes. - Junzhang Chen; Zichao Liu; Darui Jin; Yuanyuan Wang 009; Fan Yang; Xiangzhi Bai (IEEE Trans. Intell. Transp. Syst., 2022)

A Weakly Supervised-Guided Soft Attention Network for Classification of Intracranial Hemorrhage. - Long Zhang; Wenlong Miao; Chuang Zhu; Yuanyuan Wang 009; Yihao Luo; Ruoning Song; Lian Liu; Jie Yang 023 (IEEE Trans. Cogn. Dev. Syst., 2023)

Gradient-assisted deep model for brain tumor segmentation by multi-modality MRI volumes. - Yuanyuan Wang 009; Junzhang Chen; Xiangzhi Bai (Biomed. Signal Process. Control., 2023)

CoAM-Net: coordinate asymmetric multi-scale fusion strategy for polyp segmentation. - Yuanyuan Wang 009; Weimin Yuan; Xiangzhi Bai (Appl. Intell., 2023)

Simultaneous image denoising and completion through convolutional sparse representation and nonlocal self-similarity. - Weimin Yuan; Yuanyuan Wang 009; Ruirui Fan; Yuxuan Zhang 002; Guangmei Wei; Cai Meng; Xiangzhi Bai (Comput. Vis. Image Underst., 2024)

Self-supervised network predicting neoadjuvant chemoradiotherapy response to locally advanced rectal cancer patients. - Qian Chen; Jun Dang; Yuanyuan Wang 009; Longhao Li; Hongjian Gao; Qingshu Li; Tao Zhang; Xiangzhi Bai (Comput. Medical Imaging Graph., 2025)