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Xiang Tang

Showing results (341-350 of 354) with videos related to

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European Journal of Radiology|June 3, 2019
Diagnostic performance of fractional flow reserve derived from coronary CT angiography for detection of lesion-specific ischemia: A multi-center study and meta-analysisChun Xiang Tang, Yi Ning Wang, Fan Zhou, et al.
Frontiers in Cardiovascular Medicine|April 18, 2022
Diagnosis of Cardiac Amyloidosis Using a Radiomics Approach Applied to Late Gadolinium-Enhanced Cardiac Magnetic Resonance Images: A Retrospective, Multicohort, Diagnostic StudyXi Yang Zhou, Chun Xiang Tang, Ying Kun Guo, et al.
European Radiology|January 12, 2022
Influence of diabetes mellitus on the diagnostic performance of machine learning-based coronary CT angiography-derived fractional flow reserve: a multicenter studyYi Xue, Min Wen Zheng, Yang Hou, et al.
Journal of Thoracic Imaging|December 5, 2022
Optimal Measurement Sites of Coronary-Computed Tomography Angiography-derived Fractional Flow Reserve: The Insight From China CT-FFR StudyYan Chun Chen, Fan Zhou, Yi Ning Wang, et al.
JACC. Cardiovascular Imaging|April 13, 2023
Prognostic Value of CT-FFR-Based Functional Duke Jeopardy Score in Patients With Suspected CADTong Yuan Liu, Chun Xiang Tang, Dai Min Zhang, et al.
Nature Aging|June 17, 2026
Profiling the molecular and physiological effects of senolytic treatment on aged mice identifies immune, fibrotic and metabolic remodelingJing Hou, Kai-Xuan Chen, Qiao-Ni Xiao, et al.
Environmental Research|January 18, 2026
Relationship of serum polycyclic aromatic hydrocarbon (PAHs) and lung function in adults: Evidence from a large community-based population in Guangzhou, ChinaJing-Lin Zhang, Nuo Chen, Shui-Yue Lu, et al.
European Radiology|March 8, 2022
Functional CAD-RADS using FFR<sub>CT</sub> on therapeutic management and prognosis in patients with coronary artery diseaseChun Xiang Tang, Hong Yan Qiao, Xiao Lei Zhang, et al.
Radiology|April 21, 2026
A Fully Automated Deep Learning Model for Quantifying Coronary Plaque at Coronary CT AngiographyQian Chen, Fan Zhou, Wei Xing, et al.
European Radiology|September 15, 2020
The effect of coronary calcification on diagnostic performance of machine learning-based CT-FFR: a Chinese multicenter studyMeng Di Jiang, Xiao Lei Zhang, Hui Liu, et al.
Pageof 36

Showing results (341-350 of 354) with videos related to

Sort By:
Pageof 36
European Journal of Radiology|June 3, 2019
Diagnostic performance of fractional flow reserve derived from coronary CT angiography for detection of lesion-specific ischemia: A multi-center study and meta-analysisChun Xiang Tang, Yi Ning Wang, Fan Zhou, et al.
Frontiers in Cardiovascular Medicine|April 18, 2022
Diagnosis of Cardiac Amyloidosis Using a Radiomics Approach Applied to Late Gadolinium-Enhanced Cardiac Magnetic Resonance Images: A Retrospective, Multicohort, Diagnostic StudyXi Yang Zhou, Chun Xiang Tang, Ying Kun Guo, et al.
European Radiology|January 12, 2022
Influence of diabetes mellitus on the diagnostic performance of machine learning-based coronary CT angiography-derived fractional flow reserve: a multicenter studyYi Xue, Min Wen Zheng, Yang Hou, et al.
Journal of Thoracic Imaging|December 5, 2022
Optimal Measurement Sites of Coronary-Computed Tomography Angiography-derived Fractional Flow Reserve: The Insight From China CT-FFR StudyYan Chun Chen, Fan Zhou, Yi Ning Wang, et al.
JACC. Cardiovascular Imaging|April 13, 2023
Prognostic Value of CT-FFR-Based Functional Duke Jeopardy Score in Patients With Suspected CADTong Yuan Liu, Chun Xiang Tang, Dai Min Zhang, et al.
Nature Aging|June 17, 2026
Profiling the molecular and physiological effects of senolytic treatment on aged mice identifies immune, fibrotic and metabolic remodelingJing Hou, Kai-Xuan Chen, Qiao-Ni Xiao, et al.
Environmental Research|January 18, 2026
Relationship of serum polycyclic aromatic hydrocarbon (PAHs) and lung function in adults: Evidence from a large community-based population in Guangzhou, ChinaJing-Lin Zhang, Nuo Chen, Shui-Yue Lu, et al.
European Radiology|March 8, 2022
Functional CAD-RADS using FFR<sub>CT</sub> on therapeutic management and prognosis in patients with coronary artery diseaseChun Xiang Tang, Hong Yan Qiao, Xiao Lei Zhang, et al.
Radiology|April 21, 2026
A Fully Automated Deep Learning Model for Quantifying Coronary Plaque at Coronary CT AngiographyQian Chen, Fan Zhou, Wei Xing, et al.
European Radiology|September 15, 2020
The effect of coronary calcification on diagnostic performance of machine learning-based CT-FFR: a Chinese multicenter studyMeng Di Jiang, Xiao Lei Zhang, Hui Liu, et al.
Pageof 36