Global Contrast Masked Autoencoders Are Powerful Pathological Representation Learners. - Hao Quan; Xingyu Li; Weixing Chen; Mingchen Zou; Ruijie Yang; Tingting Zheng; Ruiqun Qi; Xinghua Gao; Xiaoyu Cui (CoRR, 2022)

Non-Contrastive Nearest Neighbor Identity-Guided Method for Unsupervised Object Re-Identification. - Dongchen Han; Weifeng Liu 001; Mingchen Zou; Baodi Liu (IEEE Trans. Circuits Syst. Video Technol., 2023)

Learning how to detect: A deep reinforcement learning method for whole-slide melanoma histopathology images. - Tingting Zheng; Weixing Chen; Shuqin Li; Hao Quan; Mingchen Zou; Song Zheng; Yue Zhao; Xinghua Gao; Xiaoyu Cui (Comput. Medical Imaging Graph., 2023)

Establishing Truly Causal Relationship Between Whole Slide Image Predictions and Diagnostic Evidence Subregions in Deep Learning. - Tianhang Nan; Yong Ding; Hao Quan; Deliang Li; Mingchen Zou; Xiaoyu Cui (CoRR, 2024)

Global contrast-masked autoencoders are powerful pathological representation learners. - Hao Quan; Xingyu Li; Weixing Chen; Qun Bai; Mingchen Zou; Ruijie Yang; Tingting Zheng; Ruiqun Qi; Xinghua Gao; Xiaoyu Cui (Pattern Recognit., 2024)

CST Framework: A Robust and Portable Finger Motion Tracking Framework. - Yong Ding; Mingchen Zou; Yueyang Teng; Yue Zhao; Xingyu Jiang; Xiaoyu Cui (IEEE Trans. Hum. Mach. Syst., 2024)