Dr. Shengxian Tu is a distinguished professor at the School of Biomedical Engineering, Shanghai Jiao Tong University and the director of Cardiovascular Innovative Instrument and Intelligent Computing lab at biomedical instrument institute. He is also a guest professor at Erasmus MC, Rotterdam, The Netherlands. 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, μFR, OFR and UFR), 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 Lancet, 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 section editor of JACC: Asia. So far, he has coauthored more than 100 peer-reviewed papers and 30 patents.

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. Zhu Y#, Cheng Z#, Zhao Y#, Han L#, Zhang W#, Zhang C, Yang S, Ma L, Qiao C, Guo Z, Zhu D, Zhang X, Chen L, Wang Z, Ye X, Zhou M, Li H, Qiu J, Xu H, Sun Y, Zhu J, Xu Z, Qin G, Wijns W, Redfors B, Sandner S, Gaudino M*, Tu S*, Zhao Q*. Angiography-derived fractional flow reserve versus coronary angiography to guide coronary artery bypass grafting in patients undergoing surgical valve procedures with concomitant coronary artery disease in China (FAVOR IV-QVAS): a multicentre, triple-blind, randomised trial. The Lancet. 2026,407(10534):1161-1170.

2. Li G#, Yu W#, Wang Z, Chen Y, Chu M*, Li Z, Li C, Wang X, Yan Y, Luo Y, Cai W, De Maria GL, Antoniades C, Banning A, Chen L, Tu S*. Artificial intelligence-powered automatic coronary computed tomography angiography plaque quantification: comparison against optical coherence tomography. European Heart Journal - Digital Health. 2026,7(3).

3. Wang Z#, Yang F#, Huang J, Sun Y, Wu J, Wang Y*, Tu S*. Rapid depth-resolved polarization imaging of atherosclerotic plaques with polarization-maintaining fiber-based polarization-sensitive OCT. Optics & Laser Technology. 2026,201:115224.

4. Chen Y#, Li G*, Li C, Yu W, Fan Z, Bai J, Tu S*. GVM-Net: A GNN-Based Vessel Matching Network for 2D/3D Non-Rigid Coronary Artery Registration. IEEE Transactions on Medical Imaging. 2025,44(6):2617-2630.

5. Yang F#, Li C, Tan Q, Yu W, De Maria GL, Wang F, Wu J*, Tu S*. In Vivo Quantitative Imaging of Coronary Blood Flow by Intracoronary Doppler OCT. IEEE Transactions on Biomedical Engineering. 2025, 72(5): 1665-1673.

6. Wang Z#, Kedhi E, Liu X, Li C, Huang J, Zhong J, Qu X*, Wijns W, Tu S*, Grp COFS. Prognostic Implications of Angiographically Derived Coronary Radial Wall Strain in Diabetic Patients and Non-Flow-Limiting Stenosis. JACC: Cardiovascular Interventions. 2025, 18(10): 1232-1242.

7. Li C#, Qiao Y, Yu W, Li Y, Chen Y, Fan Z, Wei R, Yang B, Wang Z, Lu X, Chen L, Collet C, Chu M*, Tu S*. AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT. Medical Image Analysis. 2025, 101: 103432.

8. Hwang HY#*, Ding D#, Kang J, Sun P, Sohn SH, Tu S*, Koo B-K. Association Between Angiography-Derived Murray Law–Based Quantitative Flow Ratio and 1-Year Coronary Artery Bypass Graft Patency. JACC: Cardiovascular Interventions. 2025,18(19):2326-2334.

9. Ding D#, Zhang J#, Wu P, Wang Z, Shi H, Yu W, Hu X, Kang J, Hahn J-Y, Nam C-W, Doh J-H, Lee B-K, Kim W, Huang J, Jiang F, Zhou H, Chen P, Tang L, Jiang W, Chen X, He W, Ahn SG, Yoon M-H, Kim U, Ki Y-J, Shin E-S, Tahk S-J, Pu J, Wijns W, Wang JA, Koo B-K*, Tu S*. Prognostic Value of Postpercutaneous Coronary Intervention Murray-Law-Based Quantitative Flow Ratio. JACC: Asia. 2025,5(1_Part_1):59-70.

10. Li Z#, Tu S*, Matheson MB, Li G, Chen Y, Rochitte CE, Chen MY, Dewey M, Miller JM, R. Scarpa Matuck B, Yang W, Qin L, Yan F, Lima JaC, Arbab-Zadeh A, De Roos A, Wolfe S. Prognostic Value of Coronary CT Angiography–Derived Quantitative Flow Ratio in Suspected Coronary Artery Disease. Radiology. 2024,313(3):e240299.

11. Chu M#, De Maria G*, Dai R, Benenati S, Yu W, Zhong J, Kotronias R, Walsh J, Andreaggi S, Zuccarelli V, Chai J, Oxford Acute Myocardial Infarction (OxAMI) Study, Channon K, Banning A, Tu S*. DCCAT: Dual-Coordinate Cross-Attention Transformer for thrombus segmentation on coronary OCT. Medical Image Analysis. 2024, 97: p103265.

12. Fezzi S#, Ding D#, Mahfoud F, Huang J, Lansky AJ, Tu S*, Wijns W*. Illusion of revascularization: does anyone achieve optimal revascularization during percutaneous coronary intervention? Nature Reviews Cardiology. 2024,21(9):652-662.

13. Yang S#, Wang Z#, Park S, Hong H, Li C, Liu X, Chen L, Hwang D, Zhang J, Hoshino M, Yonetsu T, Shin E, Doh J, Nam C, Wang J, Chen S, Tanaka N, Matsuo H, Kubo T, Chang H, Kakuta T, Koo B*, Tu S*. Relationship of Coronary Angiography-Derived Radial Wall Strain With Functional Significance, Plaque Morphology, and Clinical Outcomes. JACC: Cardiovascular Interventions. 2024; 17(1): 46-56.

14. Tu S#*, Xu B#*, Chen L, Hong H, Wang Z, Li C, Chu M, Song L, Guan C, Yu B, Jin Z, Fu G, Liu X, Yang J, Chen Y, Ge J, Qiao S, Wijns W, on behalf of the FAVOR III China study group. Short-term risk stratification of non–flow-limiting coronary stenosis by angiographically derived radial wall strain. Journal of the American College of Cardiology. 2023, 81(8):756–767.

15. Li C#, Wang Z#, Yang H, Hong H, Li C, Xu R, Wu Y, Zhang F, Qian J, Chen L, Tu S*, Ge J*. The Association Between  ngiographically Derived Radial Wall Strain and the Risk of Acute Myocardial Infarction. JACC: Cardiovascular Interventions. 2023,16(9):1039-1049.

16. Hong H#, Li C#, Gutiérrez-Chico JL, Wang Z, Huang J, Chu M, Kubo T, Chen L*, Wijns W, Tu S*.  Radial wall strain: a novel angiographic measure of plaque composition and vulnerability. EuroIntervention. 2022,18(12):1001-1010.

17. Song L#, Xu B#, Tu S*, Guan C, Jin Z, Yu B, Fu G, Zhou Y, Wang J, Chen Y, Pu J, Chen L, Qu X, Yang J, Liu X, Guo L, Shen C, Zhang Y, Qi Zhang, Pan H, Zhang R, Liu J, Zhao Y, Wang Y, Dou K, Kirtane A, Wu Y, Wijns W, Yang W, Leon M, Qiao S*, Stone G, FAVOR III China Study Group. 2-Year Outcomes of Angiographic Quantitative Flow Ratio-Guided Coronary Interventions. Journal of the American College of Cardiology . 2022, 80(22):2089-2101.

18. Hong H#, Jia H#, Zeng M, Gutiérrez-Chico JL, Wang Y, Zeng X, Qin Y, Zhao C, Chu M, Huang J, Liu L, Hu S, He L, Chen L, Wijns W, Yu B*, Tu S*. Risk Stratification in Acute Coronary Syndrome by Comprehensive Morphofunctional Assessment With Optical Coherence Tomography. JACC: Asia.2022, 4: 460-472.

19. Xu B#*, Tu S#, Song L#, Jin Z, Yu B, Fu G, Zhou Y., Wang J. a, Chen Y, Pu J, Chen L, Qu X, Yang J, Liu X, Guo L, Shen C, Zhang Y, Zhang Q, Pan H, Fu X, Liu J, Zhao Y, Escaned J, Wang Y, Fearon W. F, Dou K, Kirtane A. J, Wu Y, Serruys P. W, Yang W, Wijns W, Guan C, Leon M. B, Qiao S, Stone G. W. Angiographic quantitative flow ratio-guided coronary intervention (FAVOR III China): a multicentre, randomised, sham-controlled trial. The Lancet.2021, 398：2149-2159.

20. Ding D#, Huang J#, Westra J, Cohen D. J, Chen Y, Andersen B. K, Holm N. R, Xu B, Tu S*, Wijns W*. Immediate post-procedural functional assessment of percutaneous coronary intervention: current evidence and future directions. European Heart Journal. 2021,42:2695-2707.

21. Chu M#, Jia H, Gutiérrez-Chico JL, Maehara A, Ali Z, Zeng Z, He L, Zhao C, Matsumura M, Wu P, Zeng M, Kubo T, Xu B, Chen L, Yu B, Mintz GS, Wijns W, Holm NR, Tu S*. Artificial intelligence and optical coherence tomography for the automatic characterisation of human atherosclerotic plaques.  EuroIntervention. 2021, 17:41-50.

22.  Yu W#, Tanigaki T, Ding D, Wu P, Du H, Ling Li, 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. Circulation: Cardiovascular Interventions. 2021,4:e009840.

23.  Tu S#*, Ding D, Chang Y, Li C, Wijns W, Xu B. 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. Catheterization and Cardiovascular Interventions. 2021,97:1040-1047.

24.  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. European Heart Journal. 2020,41, 3271–3279.

25.  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.

26.  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. Journal of the American College of Cardiology. 2017, 70: 3077-3087.

27.  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. JACC: Cardiovascular Interventions. 2016, 9:2024–35.

28.  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. Journal of the American College of Cardiology. 2015, 66:125-35.

29.  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. JACC: Cardiovascular Interventions. 2014, 7:768-777.