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CT FFR for Ischemia-Specific CAD With a New Computational Fluid Dynamics Algorithm: A Chinese Multicenter Study.
Tang CX, Liu CY, Lu MJ, Schoepf UJ, Tesche C, Bayer RR 2nd, Hudson HT Jr, Zhang XL, Li JH, Wang YN, Zhou CS, Zhang JY, Yu MM, Hou Y, Zheng MW, Zhang B, Zhang DM, Yi Y, Ren Y, Li CW, Zhao X, Lu GM, Hu XH, Xu L, Zhang LJ. Tang CX, et al. Among authors: zheng mw. JACC Cardiovasc Imaging. 2020 Apr;13(4):980-990. doi: 10.1016/j.jcmg.2019.06.018. Epub 2019 Aug 14. JACC Cardiovasc Imaging. 2020. PMID: 31422138 Free article.
Diagnostic Performance of Machine Learning Based CT-FFR in Detecting Ischemia in Myocardial Bridging and Concomitant Proximal Atherosclerotic Disease.
Zhou F, Wang YN, Schoepf UJ, Tesche C, Tang CX, Zhou CS, Xu L, Hou Y, Zheng MW, Yan J, Lu MJ, Lu GM, Zhang DM, Zhang B, Zhang JY, Zhang LJ. Zhou F, et al. Among authors: zheng mw. Can J Cardiol. 2019 Nov;35(11):1523-1533. doi: 10.1016/j.cjca.2019.08.026. Epub 2019 Aug 27. Can J Cardiol. 2019. PMID: 31679622
The influence of image quality on diagnostic performance of a machine learning-based fractional flow reserve derived from coronary CT angiography.
Xu PP, Li JH, Zhou F, Jiang MD, Zhou CS, Lu MJ, Tang CX, Zhang XL, Yang L, Zhang YX, Wang YN, Zhang JY, Yu MM, Hou Y, Zheng MW, Zhang B, Zhang DM, Yi Y, Xu L, Hu XH, Liu H, Lu GM, Ni QQ, Zhang LJ. Xu PP, et al. Among authors: zheng mw. Eur Radiol. 2020 May;30(5):2525-2534. doi: 10.1007/s00330-019-06571-4. Epub 2020 Jan 31. Eur Radiol. 2020. PMID: 32006167
The effect of coronary calcification on diagnostic performance of machine learning-based CT-FFR: a Chinese multicenter study.
Di Jiang M, Zhang XL, Liu H, Tang CX, Li JH, Wang YN, Xu PP, Zhou CS, Zhou F, Lu MJ, Zhang JY, Yu MM, Hou Y, Zheng MW, Zhang B, Zhang DM, Yi Y, Xu L, Hu XH, Yang J, Lu GM, Ni QQ, Zhang LJ. Di Jiang M, et al. Among authors: zheng mw. Eur Radiol. 2021 Mar;31(3):1482-1493. doi: 10.1007/s00330-020-07261-2. Epub 2020 Sep 14. Eur Radiol. 2021. PMID: 32929641
91 results