DULoc: quantitatively unmixing protein subcellular location patterns in immunofluorescence images based on deep learning features. - Min-Qi Xue; Xi-Liang Zhu; Ge Wang; Ying-Ying Xu (Bioinform., 2022)

Improving segmentation and classification of renal tumors in small sample 3D CT images using transfer learning with convolutional neural networks. - Xi-Liang Zhu; Hong-Bin Shen; Haitao Sun; Li-Xia Duan; Ying-Ying Xu (Int. J. Comput. Assist. Radiol. Surg., 2022)

Automatic recognition of protein subcellular location patterns in single cells from immunofluorescence images based on deep learning. - Xi-Liang Zhu; Lin-Xia Bao; Min-Qi Xue; Ying-Ying Xu (Briefings Bioinform., 2023)

Improving quantitative prediction of protein subcellular locations in fluorescence images through deep generative models. - Yu Li; Guo-Hua Zeng; Yong-Jia Liang; Hong-Rui Yang; Xi-Liang Zhu; Yu-Jia Zhai; Li-Xia Duan; Ying-Ying Xu (Comput. Biol. Medicine, 2024)

Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training. - Jian Wang 099; Xin Yang 009; Xiaohong Jia 003; Wufeng Xue; Rusi Chen; Yanlin Chen; Xi-Liang Zhu; Lian Liu; Yan Cao 002; Jianqiao Zhou; Dong Ni 001; Ning Gu (Comput. Biol. Medicine, 2024)

Automated identification of protein expression intensity and classification of protein cellular locations in mouse brain regions from immunofluorescence images. - Lin-Xia Bao; Zhuo-Ming Luo; Xi-Liang Zhu; Ying-Ying Xu (Medical Biol. Eng. Comput., 2024)