Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks. - Baihong Xie; Ting Lei; Nan Wang; Hongmin Cai; Jianbo Xian; Miao He; Lihe Zhang; Hongning Xie (Int. J. Comput. Assist. Radiol. Surg., 2020)

Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment. - Baihong Xie; Xiujian Liu; Heye Zhang; Chenchu Xu; Tieyong Zeng; Yixuan Yuan; Guang Yang 006; Zhifan Gao (MICCAI (7), 2023)

Unsupervised physics-informed deep learning for assessing pulmonary artery hemodynamics. - Xiujian Liu; Baihong Xie; Dong Zhang 012; Heye Zhang; Zhifan Gao; Victor Hugo C. de Albuquerque (Expert Syst. Appl., 2024)

Energy loss minimization-based side branch flow model for FFR calculation based on intracoronary images. - Xiangling Lai; Xiaofei Xue; Zhifan Gao; Baihong Xie; Heye Zhang; Dong Yong; Haibo Jia; Xiujian Liu (Comput. Methods Programs Biomed., 2025)

Temporally consistent segmentation of main coronary artery in X-ray coronary angiography sequences. - Xiang Tang; Heye Zhang; Baihong Xie; Xiujian Liu (Expert Syst. Appl., 2025)

Bi-variational physics-informed operator network for fractional flow reserve curve assessment from coronary angiography. - Baihong Xie; Heye Zhang; Anbang Wang; Xiujian Liu; Zhifan Gao (Medical Image Anal., 2025)

Main Coronary Flow Calculation With the Assistance of Physiological Side Branch Flow. - Anbang Wang; Heye Zhang; Baihong Xie; Zhifan Gao; Yong Dong; Changnong Peng; Xiujian Liu (IEEE Trans. Biomed. Eng., 2025)

Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation. - Zhenxuan Zhang; Hongjie Wu; Jiahao Huang; Baihong Xie; Zhifan Gao; Junxian Du; Peter J. Lally; Guang Yang 006 (CoRR, 2025)