Human-interpretable features derived from breast cancer pathology slides detect BRCA1/2 gene mutations. - Yi Li; Xiaomin Xiong; Xiaohua Liu; Lin Chen; Bo Lin; Bo Xu (ICDM (Workshops), 2023)

Improving HER2-Positive Breast Cancer Targeted Therapy Prediction Using multiMSnet: A Multi-Scale Pathological Image-Based Approach. - Xiaohua Liu; Yi Li; Xiaomin Xiong; Yihan Wu; Mengke Xu; Lin Chen; Bo Lin; Bo Xu; Guoxiang Liu (ICDM (Workshops), 2023)

Pyramid Feature Iterative Fusion: A Cross-Scale Fusion Algorithm for Enhanced Analysis of H&E Images in HER2-Positive Breast Cancer. - Xiaomin Xiong; Yuqi Zhang; Lihua Gu; Yi Li; Bo Lin; Dajiang Lei; Guoyin Wang 001; Bo Xu (ICDM (Workshops), 2023)

Attitudes and perceptions of Chinese oncologists towards artificial intelligence in healthcare: a cross-sectional survey. - Ming Li; Xiaomin Xiong; Bo Xu (Frontiers Digit. Health, 2024)

ICAM: An interpretable auxiliary model for the pathological diagnosis of breast cancer based on knowledge embedding. - Lihua Gu; Xiaomin Xiong; Qun Liu 005; Dajiang Lei; Ruqi Wang; Bo Lin; Guoyin Wang 001; Bo Xu (Inf. Sci., 2025)

Multi-Scale Dynamic Sparse Token Multi-Instance Learning for Pathology Image Classification. - Dajiang Lei; Yuqi Zhang; Haodong Wang; Xiaomin Xiong; Bo Xu; Guoyin Wang 001 (IEEE J. Biomed. Health Informatics, 2025)