Xi-Liang Zhu

According to our database, Xi-Liang Zhu authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

SCPLoc: A weakly-supervised multi-instance learning framework for protein subcellular localization and heterogeneity profiling in single-cell immunofluorescence images.

Yi-Lin Li, Ying-Yi Wang, Xi-Liang Zhu, Ying He, Qian Zhou, Ying-Ying Xu

Neurocomputing, 2026

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., April, 2024

Thyroid ultrasound diagnosis improvement via multi-view self-supervised learning and two-stage pre-training.

Jian Wang, Xin Yang, Xiaohong Jia, Wufeng Xue, Rusi Chen, Yanlin Chen, Xi-Liang Zhu, Lian Liu, Yan Cao, Jianqiao Zhou, Dong Ni, Ning Gu

Comput. Biol. Medicine, 2024

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

2023

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., January, 2023

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

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