Publications

For a complete and up-to-date list of my publications and citation metrics, please visit my Google Scholar profile.

Selected Publications

• Meng Xu, Bin Hu, Yingfeng Wang, Patrick Koo, and Kuan Huang. “DRSeg: a weakly supervised framework for breast ultrasound image segmentation.” Scientific Reports, 2026. [link]
• Kuan Huang, Meng Xu, Yingfeng Wang. “Using Adversarial Training to Improve Uncertainty Quantification.” IEEE Transactions on Artificial Intelligence, 2025. [link]
• Meng Xu, Yingfeng Wang, Kuan Huang. “AnatoSegNet: Anatomy Based CNN-Transformer Network for Enhanced Breast Ultrasound Image Segmentation.” International Symposium on Biomedical Imaging (ISBI), 2025. [link]
• Meng Xu, Jianhua Huang, Kuan Huang, and Feifei Liu. “Incorporating Tumor Edge Information for Fine-Grained BI-RADS Classification of Breast Ultrasound Images.” IEEE Access, 2024. [link]
• Meng Xu, Kuan Huang, and Xiaojun Qi. “A Regional-Attentive Multi-Task Learning Framework for Breast Ultrasound Image Segmentation and Classification.” IEEE Access, 2023. [link]
• Meng Xu, Kuan Huang, Qiuxiao Chen, and Xiaojun Qi. “MSSA-Net: Multi-Scale Self-Attention Network for Breast Ultrasound Image Segmentation.” 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021. [link]

Selected Student-Mentored Publications

• Nuojunxi Zhang, Meng Xu, Guanchao Tong, Kuan Huang. “Segmenting What Matters: A Dual Stage Active Learning Framework for Weakly Supervised Breast Ultrasound Segmentation.” IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. [link]
• Kuan Huang, Yongxiang Wan, Jianhua Huang, Meng Xu. “Online Block-Level Data Augmentation for Medical Image Classification.” IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. [link]