Search Results - "Guo, Bang Jun"

Feasibility and prognostic role of machine learning-based FFRCT in patients with stent implantation by Tang, Chun Xiang, Guo, Bang Jun, Schoepf, Joseph U., Bayer, Richard R., Liu, Chun Yu, Qiao, Hong Yan, Zhou, Fan, Lu, Guang Ming, Zhou, Chang Sheng, Zhang, Long Jiang

“…Objectives To investigate the feasibility and prognostic implications of coronary CT angiography (CCTA) derived fractional flow reserve (FFR CT ) in patients…”
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Automatic quantification of myocardium and pericardial fat from coronary computed tomography angiography: a multicenter study by He, Xiuxiu, Guo, Bang Jun, Lei, Yang, Wang, Tonghe, Curran, Walter J., Liu, Tian, Zhang, Long Jiang, Yang, Xiaofeng

“…Objectives To develop a deep learning–based method for simultaneous myocardium and pericardial fat quantification from coronary computed tomography angiography…”
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Automated left ventricular myocardium segmentation using 3D deeply supervised attention U‐net for coronary computed tomography angiography; CT myocardium segmentation by Jun Guo, Bang, He, Xiuxiu, Lei, Yang, Harms, Joseph, Wang, Tonghe, Curran, Walter J., Liu, Tian, Jiang Zhang, Long, Yang, Xiaofeng

“…Purpose Segmentation of left ventricular myocardium (LVM) in coronary computed tomography angiography (CCTA) is important for diagnosis of cardiovascular…”
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Thyroid gland delineation in noncontrast-enhanced CTs using deep convolutional neural networks by He, Xiuxiu, Guo, Bang Jun, Lei, Yang, Tian, Sibo, Wang, Tonghe, Curran, Walter J, Zhang, Long Jiang, Liu, Tian, Yang, Xiaofeng

“…The purpose of this study is to develop a deep learning method for thyroid delineation with high accuracy, efficiency, and robustness in noncontrast-enhanced…”
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Prognostic implication of CT-FFR based functional SYNTAX score in patients with de novo three-vessel disease by Qiao, Hong Yan, Li, Jian Hua, Schoepf, U Joseph, Bayer, Richard R, Tinnefeld, Fiona C, Di Jiang, Meng, Yang, Fei, Guo, Bang Jun, Zhou, Chang Sheng, Ge, Ying Qian, Lu, Meng Jie, Jiang, Jian Wei, Lu, Guang Ming, Zhang, Long Jiang

“…Abstract Aims This study was aimed at investigating whether a machine learning (ML)-based coronary computed tomographic angiography (CCTA) derived fractional…”
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Artificial intelligence in imaging of coronary artery disease: current applications and future perspective by Guo, Bang Jun, Jeong, Jiwoong Jason, Qiao, Hong Yan, Tian, Sibo, Lei, Yang, Yang, Xiaofeng, Zhang, Long Jiang, Lu, Guang Ming

“…Artificial intelligence (AI) is a broad term that generally refers to the artificial creation of human-like intelligence that can learn, perceive and plan. To…”
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Feasibility and prognostic role of machine learning-based FFR CT in patients with stent implantation by Tang, Chun Xiang, Guo, Bang Jun, Schoepf, Joseph U, Bayer, 2nd, Richard R, Liu, Chun Yu, Qiao, Hong Yan, Zhou, Fan, Lu, Guang Ming, Zhou, Chang Sheng, Zhang, Long Jiang

“…To investigate the feasibility and prognostic implications of coronary CT angiography (CCTA) derived fractional flow reserve (FFR ) in patients who have…”
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