Limited-view CT Reconstruction Based on Autoencoder-like Generative Adversarial Networks with Joint Loss. - Jianan Bai; Xiubin Dai; Qingjiang Wu; Lizhe Xie (EMBC, 2018)

Limited-View Cone-Beam CT Reconstruction Based on an Adversarial Autoencoder Network With Joint Loss. - Xiubin Dai; Jianan Bai; Tianliang Liu; Lizhe Xie (IEEE Access, 2019)

Locating Anatomical Landmarks on 2D Lateral Cephalograms Through Adversarial Encoder-Decoder Networks. - Xiubin Dai; Hao Zhao; Tianliang Liu; Dan Cao; Lizhe Xie (IEEE Access, 2019)

Adversarial Defense via Attention-Based Randomized Smoothing. - Xiao Xu; Shiyu Feng; Zheng Wang; Lizhe Xie; Yining Hu (ICANN (1), 2020)

Digital Watermark Perturbation for Adversarial Examples to Fool Deep Neural Networks. - Shiyu Feng; Feng Feng; Xiao Xu; Zheng Wang; Yining Hu; Lizhe Xie (IJCNN, 2021)

Craniofacial Reconstruction via Face Elevation Map Estimation Based on the Deep Convolution Neutral Network. - Yining Hu; Zhe Wang; Yueli Pan; Lizhe Xie; Zheng Wang (Secur. Commun. Networks, 2021)

Development of a multi-stage model for intelligent and quantitative appraising of skeletal maturity using cervical vertebras cone-beam CT images of Chinese girls. - Lizhe Xie; Wen Tang; Iman Izadikhah; Zhenqi Zhao; Yang Zhao; Hu Li; Bin Yan (Int. J. Comput. Assist. Radiol. Surg., 2022)

Multiscale Features Integrated Model for Generalizable Deepfake Detection. - Siqi Gu; Zihan Qin; Lizhe Xie; Zheng Wang; Yining Hu (Int. J. Intell. Syst., 2025)

A generalized defect-data-free defect inspection method based on image reconstruction and anomaly detection. - Minjie Du; Siqi Gu; Zihan Qin; Lizhe Xie; Zheng Wang; Yining Hu (Neural Networks, 2025)