Dr. Shengxian Tu is a Professor at the School of Biomedical Engineering, Shanghai Jiao Tong University. He received his master degree in Biomedical Engineering from Shanghai Jiao Tong University in 2008. After that, he joined the Medis Applied Research group as a scientific researcher, while at the same time pursuing a PhD degree at the Division of Image Processing (LKEB), Department of Radiology, Leiden University Medical Center, the Netherlands. He graduated cum laude in February 2012. He joined Shanghai Jiao Tong University as a Faculty in 2014. He is the inventor of several patents including the methods for computation of fractional flow reserve from imaging data (QFR, OFR and UFR). He is also the founder of four quantitative analysis systems (AngioPlus, OctPlus, IvusPlus and QAngio XA 3D RE), which are being used for clinical decisions or studies by a number of hospitals in Europe, Asia, and America. Over the past few years he has published several articles in the leading cardiovascular journals such as Eur Heart J, J Am Coll Cardiol, J Am Coll Cardiol Interv, and Circ Cardiovasc Interv. In 2014 he was accepted as a Fellow of European Society of Cardiology (FESC) and in 2017 he was accepted as a Fellow of American College of Cardiology (FACC). Currently, he serves as an associate editor of the International Journal of Cardiovascular Imaging and a member of the Editorial Board of Cardiology Journal, Journal of Geriatric Cardiology, and Cardiovascular Diagnosis and Therapy. So far, he has authored or coauthored more than 100 peer-reviewed papers and 30 patents. Dr. Tu is PI of a total of 8 approved grant applications in China for a total value of about $10M, including National Key R&D Program of China.

2009-2005   Bachelor   Southern Medical University, Guangzhou, China

2005-2008   Master     Shanghai Jiao Tong University, Shanghai, China

2008-2012   Ph.D.      Leiden University Medical Center, the Netherlands

2008-2011, Scientific Researcher, Applied Research group, Medis Medical Imaging

2011-2014, Principal Scientist, Applied Research group, Medis Medical Imaging

2014-2018, Professor with Special Appointment, Shanghai Jiao Tong University

2018-Present, Professor, Shanghai Jiao Tong University

(1)   Cardiovascular imaging and quantitative analysis.

(2)   Vascular hemodynamics and biomechanics.

(3)   Fractional flow reserve.

(4)   Image processing.

(5)   Optical coherence tomography.

(6)   Artificial intelligence

(7)   AIntravascular ultrasound

The Yangtze River Scholar of the Ministry of Education in China. (2019)

Shanghai Technology Research Leader (2019)

1. National Key Research and Development Program of China, 2020/07-2022/06, PI

2. National Key Research and Development Program of China (2016YFC0100500), 2016/07-2018/12, PI

3. Natural Science Foundation of China (Grant No. 82020108015) 2020/01-2025/12, PI

4. Natural Science Foundation of China (Grant No. 81871460), 2019/01-2022/12, PI

5. Natural Science Foundation of China (Grant No. 81570456), 2016/01-2017/12, PI

6. Natural Science Foundation of China (Grant No. 31500797),2016/01-2018/12, PI

1. Yu W, Tanigaki T, Ding D, Wu P, Du H, Ling L, Huang B, Li G, Yang W, Zhang S, Yan F, Okubo M, Xu B, Matsuo H, Wijns W, Tu S*. Accuracy of intravascular ultrasound-based fractional flow reserve in identifying hemodynamic significance of coronary stenosis. Circ Cardiovasc Interv. InPress
2. Tu S#*, Westra J#, Adjedj J#, Ding D, Liang F, Xu B, Holm NR, Reiber H, Wijns W. Fractional Flow Reserve in clinical practice: from wire-based invasive measurement to image-based computation. Eur Heart J 2020; 41, 3271–3279.
3. Huang J, Emori H, Ding D, Kubo T, Yu W, Huang P, Zhang S, Gutiérrez-Chico JL, Akasaka T, Wijns W, Tu S*. Comparison of Diagnostic Performance of Intracoronary Optical Coherence Tomography-based and Angiography-based Fractional Flow Reserve for Evaluation of Coronary Stenosis. EuroIntervention 2020;16:568-576.
4. Li Z, Zhang J*, Xu L, Yang W, Li G,Ding D, Chang Y, Yu M, Kitslaar P, Zhang S, Reiber JHC, Arbab-Zadeh A, Yan F, Tu S*. Diagnostic Accuracy of a Fast Computational Approach to Derive Fractional Flow Reserve from Coronary CT Angiography. J Am Coll Cardiol Img 2020; 13:167-182.
5. Wu P, Gutiérrez-Chico JL, Tauzin H, Yang W, Li Y, Yu W, Chu M, Guillon B, Bai J, Meneveau N, Wijns W, Tu S*. Automatic stent reconstruction in optical coherence tomography based on a deep convolutional model. Biomed Opt Express 2020; 11:3374-3394.
6. Yu W, Huang H, Jia D, Chen S, Raffel OC, Ding D, Tian F, Kan J, Zhang S, Yan Y, Chen Y, Bezerra HG, Wijns W, Tu S*. Diagnostic Accuracy of Intracoronary Optical Coherence Tomography-derived Fractional Flow Reserve for Assessment of Coronary Stenosis Severity. EuroIntervention 2019;15:189-197.
7. Xu B#, Tu S#*, Qiao S, Qu X, Chen Y, Yang J, Guo L, Sun Z, Li Z, Tian F, Fang W, Chen J, Li W, Guan C, Holm NR, Wijns W, Hu S*. Diagnostic Accuracy of the Angiography-Based Quantitative Flow Ratio for Online Assessment of Coronary Stenosis. J Am Coll Cardio 2017; 70: 3077-87.
8. Wu X, Von Birgelen C, Takashi M, Li Y, Holm NR, Reiber JHC, Tu S*. A novel four-dimensional angiogrephic approach to assess dynamic superficial wall stress of coronary arteries in vivo: Initial experience in evaluating vessel sites with subsequent plaque rupture. EuroIntervention 2017; 13 (9): 1099-1103.
9. Tu S*, Westra J, Yang J, von Birgelen C, Ferrara A, Pellicano M, Nef H, Tebaldi M, Murasato Y, Lansky A, Barbato E, van der Heijden LC, Reiber JHC, Holm NR, Wijns W,FAVOR Pilot Trial Study Group. Diagnostic Accuracy of Fast Computational Approaches to Derive Fractional Flow Reserve From Diagnostic Coronary Angiography: The International Multicenter FAVOR Pilot Study. J Am CollCardiolInterv 2016; 9:2024–35.
10. Li Y, Gutiérrez-Chico JL, Holm NR, Yang W, Hebsgaard L, Christiansen EH, Mæng M, Lassen JF, Yan F, Reiber JHC, Tu S*.Impact of Side Branch Modeling on Computation of Endothelial Shear Stress in Coronary Artery Disease: Coronary Tree Reconstruction by Fusion of 3D Angiography and OCT. J Am Coll Cardio 2015; 66:125-35.
11. Tu S*, Echavarria-Pinto M, von Birgelen C, Holm NR, Pyxaras SA, Kumsars I, Lam MK, Valkenburg I, Toth GG, Li Y, Escaned J, Wijns W, Reiber JHC. Fractional flow reserve and coronary bifurcation anatomy: A novel quantitative model to assess and report the stenosis severity of bifurcation lesions. J Am CollCardiolInterv 2015; 8:564-74.
12. Tu S*, Barbato E, Koszegi Z, Yang J, Sun Z, Holm NR, Tar B, Li Y, Rusinaru D, Wijns W, Reiber JHC.Fractional flow reserve calculation from 3-dimensional quantitative coronary angiography and TIMIframe count: A fast computer model to quantify the functional significance of moderately obstructed coronary arteries. J Am CollCardiolInterv 2014, 7:768-777.