Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration. - Yao Xiao; Skylar E. Stolte; Peng Liu 037; Yun Liang 012; Pina C. Sanelli; Ajay Gupta; Jana Ivanidze; Ruogu Fang (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Interactive thyroid whole slide image diagnostic system using deep representation. - Pingjun Chen; Xiaoshuang Shi; Yun Liang 012; Yuan Li; Lin Yang 002; Paul D. Gader (Comput. Methods Programs Biomed., 2020)

Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing. - Xiaoshuang Shi; Zhenhua Guo 001; Fuyong Xing; Yun Liang 012; Lin Yang 002 (Int. J. Comput. Vis., 2020)

Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis. - Xiaoshuang Shi; Hai Su; Fuyong Xing; Yun Liang 012; Gang Qu 002; Lin Yang 002 (Medical Image Anal., 2020)

Self-paced Resistance Learning against Overfitting on Noisy Labels. - Xiaoshuang Shi; Zhenhua Guo 001; Fuyong Xing; Yun Liang 012; Xiaofeng Zhu 001 (CoRR, 2021)

Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion. - Pingjun Chen; Yun Liang 012; Xiaoshuang Shi; Lin Yang 002; Paul D. Gader (Neurocomputing, 2021)

Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks. - Xiaoshuang Shi; Fuyong Xing; Kaidi Xu; Pingjun Chen; Yun Liang 012; Zhiyong Lu; Zhenhua Guo 001 (IEEE Trans. Image Process., 2021)

Self-paced resistance learning against overfitting on noisy labels. - Xiaoshuang Shi; Zhenhua Guo 001; Kang Li 004; Yun Liang 012; Xiaofeng Zhu 001 (Pattern Recognit., 2023)