CE-NC-VesselSegNet: Supervised by contrast-enhanced CT images but utilized to segment pulmonary vessels from non-contrast-enhanced CT images. - Meihuan Wang; Shouliang Qi; Yanan Wu; Yu Sun 034; Runsheng Chang; Haowen Pang; Wei Qian 001 (Biomed. Signal Process. Control., 2023)

NCCT-CECT image synthesizers and their application to pulmonary vessel segmentation. - Haowen Pang; Shouliang Qi; Yanan Wu; Meihuan Wang; Chen Li 022; Yu Sun 034; Wei Qian 001; Guoyan Tang; Jiaxuan Xu; Zhenyu Liang; Rongchang Chen (Comput. Methods Programs Biomed., 2023)

Predicting major adverse cardiovascular events within 3 years by optimization of radiomics model derived from pericoronary adipose tissue on coronary computed tomography angiography: a case-control study. - Rong-rong Zhang; Hong-rui You; Ya-yuan Geng; Xiao-gang Li; Yu Sun 034; Jie Hou; Lian-chang Ji; Jing-long Shi; Li-bo Zhang 004; Benqiang Yang (BMC Medical Imaging, 2024)

Automated pericardium segmentation and epicardial adipose tissue quantification from computed tomography images. - Ying Wang; Ankang Wang; Lu Wang 001; Wenjun Tan; Lisheng Xu; Jinsong Wang; Songang Li; Jinshuai Liu; Yu Sun 034; Benqiang Yang; Steve E. Greenwald (Biomed. Signal Process. Control., 2025)

The value of diagnosing coronary slow flow based on epicardial adipose tissue radiomics in chest computed tomography. - Jing Tong; Libo Zhang 004; Guiguang Bei; Wenyuan Liu; Mingyu Zou; Yuze Li; Xiaogang Li; Yu Sun 034; Xinrui Wang; Jingya Zhu; Zhenguo Wang; Benqiang Yang (BMC Medical Imaging, 2025)