Cerebral vessels segmentation for light-sheet microscopy image using convolutional neural networks. - Chaoen Hu; Hui Hui; Shuo Wang; Di Dong; Xia Liu; Xin Yang 001; Jie Tian 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

A fast image registration approach of neural activities in light-sheet fluorescence microscopy images. - Hui Meng; Hui Hui; Chaoen Hu; Xin Yang 001; Jie Tian 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients. - Liwen Zhang; Di Dong; Lianzhen Zhong; Cong Li; Chaoen Hu; Xin Yang 001; Zaiyi Liu; Rongpin Wang; Junlin Zhou; Jie Tian 001 (IEEE J. Biomed. Health Informatics, 2021)

A novel software framework for magnetic particle imaging reconstruction. - Yusong Shen; Chaoen Hu; Peng Zhang 092; Jie Tian 001; Hui Hui (Int. J. Imaging Syst. Technol., 2022)

Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images. - Liwen Zhang; Lianzhen Zhong; Cong Li; Wenjuan Zhang; Chaoen Hu; Di Dong; Zaiyi Liu; Junlin Zhou; Jie Tian 001 (Neural Networks, 2022)

A multi-view co-training network for semi-supervised medical image-based prognostic prediction. - Hailin Li; Siwen Wang; Bo Liu; Mengjie Fang; Runnan Cao; Bingxi He; Shengyuan Liu; Chaoen Hu; Di Dong; Ximing Wang; Hexiang Wang; Jie Tian 001 (Neural Networks, 2023)

ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised Contrastive Learning. - Hailin Li; Di Dong; Mengjie Fang; Bingxi He; Shengyuan Liu; Chaoen Hu; Zaiyi Liu; Hexiang Wang; Linglong Tang; Jie Tian 001 (IEEE J. Biomed. Health Informatics, 2025)