Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision. - Jingjiao Lou; Dengwang Li; Toan Duc Bui; Fenqiang Zhao; Liang Sun 009; Gang Li 001; Dinggang Shen (MLMI@MICCAI, 2019)

Multi-Branch Deformable Convolutional Neural Network with Label Distribution Learning for Fetal Brain Age Prediction. - Lufan Liao; Xin Zhang 013; Fenqiang Zhao; Jingjiao Lou; Li Wang 026; Xiangmin Xu; He Zhang; Gang Li 001 (ISBI, 2020)

Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images. - Xukun Zhang; Zhiming Cui; Changan Chen; Jie Wei; Jingjiao Lou; Wenxin Hu; He Zhang; Tao Zhou 002; Feng Shi 001; Dinggang Shen (MICCAI (3), 2021)

PPsNet: An improved deep learning model for microsatellite instability high prediction in colorectal cancer from whole slide images. - Jingjiao Lou; Jiawen Xu; Yuyan Zhang; Yuhong Sun; Aiju Fang; Jixuan Liu; Luis A. J. Mur; Bing Ji (Comput. Methods Programs Biomed., 2022)

DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation. - Qingtao Pan; Wenhao Qiao; Jingjiao Lou; Bing Ji; Shuo Li (CoRR, 2024)

Long-short-view aware multi-agent reinforcement learning for signal snippet distillation in delirium movement detection. - Qingtao Pan; Hao Wang; Jingjiao Lou; Yuyan Zhang; Bing Ji; Shuo Li (Inf. Sci., 2024)

DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation. - Qingtao Pan; Wenhao Qiao; Jingjiao Lou; Bing Ji; Shuo Li 001 (AAAI, 2025)