Cheng Xue, Lequan Yu, Pengfei Chen, Qi Dou, Pheng-Ann Heng. Robust medical image classification from noisy labeled data with global and local representation guided co-training. IEEE Transactions on Medical Imaging 41, no. 6 (2022): 1371-1382. (JCR Q1)
Cheng Xue, Lei Zhu, Huazhu Fu, Xiaowei Hu, Xiaomeng Li, Hai Zhang, Pheng-Ann Heng, Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images, Medical image analysis, 70, 101989. (JCR Q1)
Cheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, and Pheng-Ann Heng. Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI),pp. 579-588. Springer, Cham, 2020.
Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, and Pheng-Ann Heng. Robust learning at noisy labeled medical images: Applied to skin lesion classification. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), pp. 1280-1283. IEEE, 2019.
Fuk-hay Tang, Cheng Xue, Maria YY Law, Chui-ying Wong, Tze-hei Cho, and Chun-kit Lai. Prognostic Prediction of Cancer Based on Radiomics Features of Diagnostic Imaging: The Performance of Machine Learning Strategies. Journal of Digital Imaging (2023): 1-10. (JCR Q1)
