Robustness and Fragility of a New Local-World Dynamical Network Model. - Peizhong Liu; Minghang Wang; Ping Li 056 (SERE (Companion), 2014)

MDFI: Multi-CNN Decision Feature Integration for Diagnosis of Cervical Precancerous Lesions. - Yan-Min Luo 001; Tao Zhang 054; Ping Li 056; Peizhong Liu; Pengming Sun; BinHua Dong; Guanyu Ruan (IEEE Access, 2020)

Detection of cervical lesion region from colposcopic images based on feature reselection. - Bing Bai; Yongzhao Du; Peizhong Liu; Pengming Sun; Ping Li 056; Yuchun Lv (Biomed. Signal Process. Control., 2020)

Cervical precancerous lesions classification using pre-trained densely connected convolutional networks with colposcopy images. - Tao Zhang 054; Yan-min Luo 001; Ping Li 056; Peizhong Liu; Yongzhao Du; Pengming Sun; BinHua Dong; Huifeng Xue (Biomed. Signal Process. Control., 2020)

Detection of cervical lesions in colposcopic images based on the RetinaNet method. - Jiancui Chen; Ping Li 056; Tianxiang Xu; Huifeng Xue; Xiaoxia Wang; Ye Li; Hao Lin; Peizhong Liu; Binhua Dong; Pengming Sun (Biomed. Signal Process. Control., 2022)

RACNet: risk assessment Net of cervical lesions in colposcopic images. - Tianxiang Xu; Peizhong Liu; Ping Li 056; Xiaoxia Wang; Huifeng Xue; Jingming Guo; Binhua Dong; Pengming Sun (Connect. Sci., 2022)

CTIFI: Clinical-experience-guided three-vision images features integration for diagnosis of cervical lesions. - Tianxiang Xu; Peizhong Liu; Xiaoxia Wang; Ping Li 056; Huifeng Xue; Wenfang Jin; Jun Shen; JingMing Guo; Binhua Dong; Pengming Sun (Biomed. Signal Process. Control., 2023)