Comparison of six machine learning methods for differentiating benign and malignant thyroid nodules using ultrasonographic characteristics. - Jianguang Liang; Tiantian Pang; Weixiang Liu; Xiaogang Li; Leidan Huang; Xuehao Gong; Xianfen Diao (BMC Medical Imaging, 2023)

Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling. - Hongxin Lin; Chu Zhang; Mingyu Wang; Bin Huang; Jingjing Shao; Jinxiang Zhang; Zhenhua Gao; Xianfen Diao; Bingsheng Huang (MICCAI (12), 2024)

Improved PAA algorithm for breast mass detection in mammograms. - Weixiang Liu; Pengcheng Zeng; Jiale Jiang; Jingyang Chen; Linghao Chen; Chuting Hu; Wenjing Jian; Xianfen Diao; Xianming Wang (Comput. Methods Programs Biomed., 2024)

Deep learning-based computer-aided diagnostic system for lumbar degenerative diseases classification using MRI. - Yueyao Chen; Qiangtai Huang; Chu Zhang; Junfeng Li; Wensheng Huang; Peiyin Luo; Qiuyi Chen; Ruirui Qi; Yuxuan Wan; Bingsheng Huang; Zhenhua Gao; Xiaofeng Lin; et al. (Biomed. Signal Process. Control., 2025)

Domain adaptive detection framework for multi-center bone tumor detection on radiographs. - Bing Li; Danyang Xu; Hongxin Lin; Ruodai Wu; Songxiong Wu; Jingjing Shao; Jinxiang Zhang; Haiyang Dai; Dan Wei; Bingsheng Huang; Zhenhua Gao; Xianfen Diao (Comput. Medical Imaging Graph., 2025)