Particle reconstruction of volumetric particle image velocimetry with strategy of machine learning. - Qi Gao 007; Qijie Li; Shaowu Pan; Hongping Wang; Runjie Wei; Jinjun Wang (CoRR, 2019)

Post-processing techniques of 4D flow MRI: velocity and wall shear stress. - Qi Gao 007; Xingli Liu; Hongping Wang; Fei Li; Peng Wu; Zhaozhuo Niu; Mansu Jin; Runjie Wei (CoRR, 2019)

Particle Image Velocimetry Based on a Deep Learning Motion Estimator. - Shengze Cai; Jiaming Liang; Qi Gao 007; Chao Xu 001; Runjie Wei (IEEE Trans. Instrum. Meas., 2020)

A robust single-pixel particle image velocimetry based on fully convolutional networks with cross-correlation embedded. - Qi Gao 007; Hongtao Lin; Han Tu; Haoran Zhu; Runjie Wei; Guoping Zhang; Xueming Shao (CoRR, 2021)

Optimization of 4D flow MRI velocity field in the aorta with divergence-free smoothing. - Qi Gao 007; Xingli Liu; Hongping Wang; Peng Wu; Mansu Jin; Runjie Wei; Wei Wang; Zhaozhuo Niu; Shihua Zhao; Fei Li (Medical Biol. Eng. Comput., 2021)

A deep learning model for efficient end-to-end stratification of thrombotic risk in left atrial appendage. - Qi Gao 007; Hongtao Lin; Jianghong Qian; Xingli Liu; Shengze Cai; He Li; Hongguang Fan; Zhe Zheng (Eng. Appl. Artif. Intell., 2023)

LAFlowNet: A dynamic graph method for the prediction of velocity and pressure fields in left atrium and left atrial appendage. - Xiaoyu Liu; Hongtao Lin; Xingli Liu; Jianghong Qian; Shengze Cai; Hongguang Fan; Qi Gao 007 (Eng. Appl. Artif. Intell., 2024)

CorNet: A deep learning method based on physics-guided and attention mechanism for predicting flow field of coronary arterial tree. - Xiaoyu Liu; Shengze Cai; Hongtao Lin; Xingli Liu; Xiuhua Hu; Longjiang Zhang; Qi Gao 007 (Eng. Appl. Artif. Intell., 2025)