Bo Xu

发表

Fractional flow reserve in clinical practice: from wire-based invasive measurement to image-based computation.

J. Reiber, F. Liang, W. Wijns, 2019, European heart journal.

Resting distal to aortic pressure ratio and fractional flow reserve discordance affects the diagnostic performance of quantitative flow ratio: Results from an individual patient data meta‐analysis

G. Campo, W. Wijns, J. Escaned, 2020, Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions.

Diagnostic performance of angiography-derived fractional flow reserve: a systematic review and Bayesian meta-analysis

Jeroen J. Bax, J. Reiber, P. Serruys, 2018, European heart journal.

Accuracy of Intravascular Ultrasound-Based Fractional Flow Reserve in Identifying Hemodynamic Significance of Coronary Stenosis.

Fuhua Yan, W. Wijns, M. Okubo, 2021, Circulation. Cardiovascular interventions.

Reproducibility of quantitative flow ratio: An inter-core laboratory variability study.

C. Guan, J. Westra, S. Tu, 2018, Cardiology journal.

Diagnostic Accuracy of Angiography-Based Quantitative Flow Ratio Measurements for Online Assessment of Coronary Stenosis.

Shengshou Hu, Jiyan Chen, Wei Li, 2017, Journal of the American College of Cardiology.

Angiographic quantitative flow ratio-guided coronary intervention (FAVOR III China): a multicentre, randomised, sham-controlled trial

P. Serruys, G. Stone, M. Leon, 2021, The Lancet.

Angiography-Based Quantitative Flow Ratio for Online Assessment of Coronary Stenosis : FAVOR II China Study

Shengshou Hu, Jiyan Chen, Wei Li, 2017 .

Variation of computed tomographic angiography–based fractional flow reserve after transcatheter aortic valve implantation

Yi-ming Li, Yong Peng, D. Mylotte, 2021, European Radiology.

Immediate post-procedural functional assessment of percutaneous coronary intervention: current evidence and future directions.

D. Cohen, W. Wijns, Yundai Chen, 2021, European heart journal.

Diagnostic accuracy and reproducibility of optical flow ratio for functional evaluation of coronary stenosis in a prospective series.

P. Huang, Yundai Chen, Wei Yu, 2020, Cardiology journal.

Diagnostic performance of quantitative flow ratio in prospectively enrolled patients: An individual patient‐data meta‐analysis

G. Campo, W. Wijns, J. Escaned, 2019, Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions.

Automatic detection of aorto-femoral vessel trajectory from whole-body computed tomography angiography data sets

J. Reiber, P. Kitslaar, J. Dijkstra, 2016, The International Journal of Cardiovascular Imaging.

Difference of coronary stenosis severity between systolic and diastolic phases in quantitative CT angiography.

Yang Gao, B. Lu, Ximing Wang, 2017, Journal of cardiovascular computed tomography.

Quantitative Flow Ratio Based on Murray Fractal Law: Accuracy of Single Versus Two Angiographic Views

W. Wijns, S. Tu, Bo Xu, 2022, Journal of the Society for Cardiovascular Angiography & Interventions.

Short-Term Risk Stratification of Non-Flow-Limiting Coronary Stenosis by Angiographically Derived Radial Wall Strain.

W. Wijns, G. Fu, Yundai Chen, 2023, Journal of the American College of Cardiology.

Diagnostic accuracy of quantitative flow ratio for assessment of coronary stenosis significance from a single angiographic view: A novel method based on bifurcation fractal law

W. Wijns, S. Tu, Bo Xu, 2021, Catheterization and cardiovascular interventions.

2-Year Outcomes of Angiographic Quantitative Flow Ratio-Guided Coronary Interventions.

G. Stone, M. Leon, Yujie Zhou, 2022, Journal of the American College of Cardiology.

Automatic coronary blood flow computation: validation in quantitative flow ratio from coronary angiography

J. Westra, S. Tu, Jun-qing Yang, 2018, The International Journal of Cardiovascular Imaging.

Automatic extraction of arterial centerline from whole-body computed tomography angiographic datasets

Bo Xu, Liang Xu, Johan H. C. Reiber, 2014, Computing in Cardiology 2014.

Automatic Characterisation of Human Atherosclerotic Plaque Composition from Intravascular Optical Coherence Tomography Using Artificial Intelligence.

Z. Ali, G. Mintz, W. Wijns, 2021, EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology.

CT-FFR vs a model of combined plaque characteristics for identifying ischemia: Results from CT-FFR CHINA trial.

Hongjie Hu, Yang Gao, B. Lu, 2021, European journal of radiology.

Accuracy of 3-dimensional and 2-dimensional quantitative coronary angiography for predicting physiological significance of coronary stenosis: a FAVOR II substudy.

Yundai Chen, J. Westra, N. Holm, 2019, Cardiovascular diagnosis and therapy.

In vivo comparison of arterial lumen dimensions assessed by co-registered three-dimensional (3D) quantitative coronary angiography, intravascular ultrasound and optical coherence tomography

Johan H. C. Reiber, Gerhard Koning, Evelyn Regar, 2012, The International Journal of Cardiovascular Imaging.

Effect of lesion characteristics on diagnostic performance of CT-derived fractional flow reserve: exploring the indications for application based on CT-FFR CHINA trial (Preprint)

Tao Jiang, Hongjie Hu, Yang Gao, 2021 .

Effect of Coronary Calcification Severity on Measurements and Diagnostic Performance of CT-FFR With Computational Fluid Dynamics: Results From CT-FFR CHINA Trial

Tao Jiang, Hongjie Hu, Yang Gao, 2022, Frontiers in Cardiovascular Medicine.

Practical Application of Coronary Physiologic Assessment

A. Low, H. Tan, T. Akasaka, 2023, JACC. Asia.