Shengxian Tu

发表

Automatic stent reconstruction in optical coherence tomography based on a deep convolutional model.

Wei Yang, Wei Yu, Peng Wu, 2020, Biomedical optics express.

Three-dimensional quantitative coronary angiography and the registration with intravascular ultrasound and optical coherence tomography

Shengxian Tu, 2012 .

Automatic image registration by extraction of interested sub-region

Hong Huo, Tao Fang, Xuesong Lu, 2007, International Symposium on Multispectral Image Processing and Pattern Recognition.

Fusion of CTA and XA data using 3D centerline registration for plaque visualization during coronary intervention

Boudewijn P. F. Lelieveldt, Jouke Dijkstra, Pieter H. Kitslaar, 2016, SPIE Medical Imaging.

Stick-guided lateral inhibition for enhancement of low-contrast image

Hong Huo, Tao Fang, Xuesong Lu, 2007, International Symposium on Multispectral Image Processing and Pattern Recognition.

In vivo reconstruction of coronary artery and bioresorbable stents from intracoronary optical coherence tomography

Johan H. C. Reiber, Jouke Dijkstra, Yingguang Li, 2018, Medical Imaging.

Automatic tracing and segmentation of rat mammary fat pads in MRI image sequences based on cartoon-texture model

Yue Wang, Yazhu Chen, Matthew T. Freedman, 2009 .

A bintree energy approach for colour image segmentation using adaptive channel selection

Lei Zhang, Yazhu Chen, Su Zhang, 2008 .

The effect of the sensor position of the pressure wire distal to a coronary stenosis on the calculated fractional flow reserve

Shengxian Tu, Zsolt Koszegi, Balázs Tar, 2013, Computing in Cardiology 2013.

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 Segmentation of Rat Mammary Glands from Serial MRI Images

Xuesong Lu, Yazhu Chen, Su Zhang, 2007, 2007 IEEE/ICME International Conference on Complex Medical Engineering.

Segmentation of intravascular ultrasound images by mask propagation network

Shengxian Tu, Li Ling, Huihong Hong, 2021, Medical Imaging.

Segmentation of side branch regions in intravascular images using multi-modal information

Shengxian Tu, Xuebo Liu, Peng Wu, 2021, Medical Imaging.

Examinee-Examiner Network: Weakly Supervised Accurate Coronary Lumen Segmentation Using Centerline Constraint

Youyong Kong, Huazhong Shu, Jean-Louis Coatrieux, 2021, IEEE Transactions on Image Processing.

Fractional flow reserve and coronary bifurcation anatomy: a novel quantitative model to assess and report the stenosis severity of bifurcation lesions.

William Wijns, Clemens von Birgelen, Shengxian Tu, 2015, JACC. Cardiovascular interventions.

A novel three‐dimensional quantitative coronary angiography system: In‐vivo comparison with intravascular ultrasound for assessing arterial segment length

Johan H. C. Reiber, Gerhard Koning, Shengxian Tu, 2010, Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions.

A novel software tool for semi-automatic quantification of thoracic aorta dilatation on baseline and follow-up computed tomography angiography

Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, Jouke Dijkstra, 2018, The International Journal of Cardiovascular Imaging.

QCA, IVUS and OCT in interventional cardiology in 2011.

Jouke Dijkstra, Gerhard Koning, Shengxian Tu, 2011, Cardiovascular Diagnosis and Therapy.

First presentation of 3-dimensional reconstruction and centerline-guided assessment of coronary bifurcation by fusion of X-ray angiography and optical coherence tomography.

Shengxian Tu, Johan H C Reiber, J. Reiber, 2012, JACC. Cardiovascular interventions.

Effects of local hemodynamics and plaque characteristics on neointimal response following bioresorbable scaffolds implantation in coronary bifurcations

Jouke Dijkstra, Juan Luis Gutiérrez-Chico, Shengxian Tu, 2019, The International Journal of Cardiovascular Imaging.

Co-registration of optical coherence tomography and X-ray angiography in percutaneous coronary intervention. the Does Optical Coherence Tomography Optimize Revascularization (DOCTOR) fusion study.

Shengxian Tu, Johan H C Reiber, Evald Høj Christiansen, 2013, International journal of cardiology.

Biomechanical Modeling to Improve Coronary Artery Bifurcation Stenting: Expert Review Document on Techniques and Clinical Implementation.

Claudio Chiastra, Goran Stankovic, Johan H. C. Reiber, 2015, JACC. Cardiovascular interventions.

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.

Fusion of 3D QCA and IVUS/OCT

Johan H. C. Reiber, Gerhard Koning, Shengxian Tu, 2011, The International Journal of Cardiovascular Imaging.

A novel method to assess coronary artery bifurcations by OCT: cut-plane analysis for side-branch ostial assessment from a main-vessel pullback.

Evelyn Regar, Shengxian Tu, Felix Zijlstra, 2015, European heart journal cardiovascular Imaging.

TCT-433 Feasibility, self-correcting properties and one-month results after implantation of a novolimus eluting bioresorbable stent in coronary bifurcations. The BIFSORB pilot study.

Jouke Dijkstra, Shengxian Tu, Michael Maeng, 2016, Journal of the American College of Cardiology.

Accurate and reproducible reconstruction of coronary arteries and endothelial shear stress calculation using 3D OCT: comparative study to 3D IVUS and 3D QCA.

Ioanna Chouvarda, Nicos Maglaveras, Ioannis Kompatsiaris, 2015, Atherosclerosis.

Intravascular Ultrasound Image Hard Plaque Recognition and Media-adventitia Border Detection

Jouke Dijkstra, Shengxian Tu, J. Dijkstra, 2013 .

Quantification of disturbed coronary flow by disturbed vorticity index and relation with fractional flow reserve.

William Wijns, Clemens von Birgelen, Shengxian Tu, 2018, Atherosclerosis.

Local Flow Patterns After Implantation of Bioresorbable Vascular Scaffold in Coronary Bifurcations　- Novel Findings by Computational Fluid Dynamics.

Jouke Dijkstra, Shengxian Tu, Antonios Karanasos, 2018, Circulation journal : official journal of the Japanese Circulation Society.

OCT assessment of the long-term vascular healing response 5 years after everolimus-eluting bioresorbable vascular scaffold.

Gijs van Soest, Jouke Dijkstra, Evelyn Regar, 2014, Journal of the American College of Cardiology.

In vivo flow simulation at coronary bifurcation reconstructed by fusion of 3-dimensional X-ray angiography and optical coherence tomography.

William Wijns, Shengxian Tu, Emanuele Barbato, 2013, Circulation. Cardiovascular interventions.

Quantification of aortic annulus in computed tomography angiography: Validation of a fully automatic methodology.

Boudewijn P F Lelieveldt, Jouke Dijkstra, Shengxian Tu, 2017, European journal of radiology.

Coronary angiography enhancement for visualization

Johan H. C. Reiber, Gerhard Koning, Shengxian Tu, 2009, The International Journal of Cardiovascular Imaging.

Development of 3D IVOCT Imaging and Co-Registration of IVOCT and Angiography in the Catheterization Laboratory

Shengxian Tu, Giovanni J. Ughi, Tom Adriaenssens, 2014, Current Cardiovascular Imaging Reports.

Fractional flow reserve calculation from 3-dimensional quantitative coronary angiography and TIMI frame count: a fast computer model to quantify the functional significance of moderately obstructed coronary arteries.

William Wijns, Shengxian Tu, Emanuele Barbato, 2014, JACC. Cardiovascular interventions.

Assessment of obstruction length and optimal viewing angle from biplane X-ray angiograms

Johan H. C. Reiber, Gerhard Koning, Shengxian Tu, 2009, The International Journal of Cardiovascular Imaging.