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European Radiology|November 18, 2020
Automatic quantification of myocardium and pericardial fat from coronary computed tomography angiography: a multicenter studyXiuxiu He, Bang Jun Guo, Yang Lei, et al.
Physics in Medicine and Biology|February 16, 2021
Thyroid gland delineation in noncontrast-enhanced CTs using deep convolutional neural networksXiuxiu He, Bang Jun Guo, Yang Lei, et al.
Medical Physics|February 5, 2020
Automated left ventricular myocardium segmentation using 3D deeply supervised attention U-net for coronary computed tomography angiography; CT myocardium segmentationBang Jun Guo, Xiuxiu He, Yang Lei, et al.
Physics in Medicine and Biology|March 18, 2020
Automatic segmentation and quantification of epicardial adipose tissue from coronary computed tomography angiographyXiuxiu He, Bang Jun Guo, Yang Lei, et al.
BMC Medical Imaging|July 2, 2025
Preoperative prediction for early recurrence in patients with pancreatic ductal adenocarcinoma: combining radiomics and abdominal fat analysisSuo Yu Yan, Fang Ming Chen, Bang Jun Guo, et al.
European Radiology|April 17, 2021
Feasibility and prognostic role of machine learning-based FFRCT in patients with stent implantationChun Xiang Tang, Bang Jun Guo, Joseph U Schoepf, et al.
Eclinicalmedicine|August 20, 2025
An artificial intelligence model integrating culprit lesion diagnosis and risk assessment for acute coronary syndromePeng Peng Xu, Bin Hu, Fan Zhou, et al.
European Heart Journal. Cardiovascular Imaging|November 13, 2020
Prognostic implication of CT-FFR based functional SYNTAX score in patients with de novo three-vessel diseaseHong Yan Qiao, Jian Hua Li, U Joseph Schoepf, et al.
Iscience|December 9, 2025
Coronary computed tomography angiography plaque and flow patterns in acute coronary syndrome lesionsPeng Peng Xu, Jia Ni Zou, Qian Chen, et al.
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