[1] Bingsheng Huang, Xiaoyi Lin, Jingxian Shen, Xin Chen, Jia Chen, Zi-Ping Li, Mingyu Wang, Chenglang Yuan, Xian-Fen Diao*, Yanji Luo, Shi-Ting Feng. Accurate and feasible deep learning based semi-automatic segmentation in CT for radiomics analysis in pancreatic neuroendocrine neoplasms. IEEE Journal of Biomedical and Health Informatics, 2021.(中科院2区Top期刊,IF=7.7)
[2] Jianguang Liang*, Tiantian Pang, Weixiang Liu, Xiaogang Li, Leidan Huang, Xuehao Gong*, Xianfen Diao*. Comparison of six machine learning methods for differentiating benign and malignant thyroid nodules using ultrasonographic characteristics. BMC Medical Imaging, 2023. (中科院3区期刊,IF=2.9)
[3] Weixiang Liu, Pengcheng Zeng, Jiale Jiang, Jingyang Chen, Linghao Chen, Chuting Hu, Wenjing Jian, Xianfen Diao*, Xianming Wang. Improved PAA algorithm for breast mass detection in mammograms. Computer Methods and Programs in Biomedicine, 2024. (中科院2区期刊,IF=4.9)
[4] Jingjing Shao, Hongxin Lin, Lei Ding, Bing Li, Danyang Xu, Yang Sun, Tianming Guan, Haiyang Dai, Ruihao Liu, Demao Deng, Bingsheng Huang, Shiting Feng*, Xianfen Diao*, Zhenhua Gao*. Deep learning for differentiation of osteolytic osteosarcoma and giant cell tumor around the knee joint on radiographs: a multicenter study. Insights into Imaging, 2024. (中科院2区期刊,IF=4.1)