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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. Eur Radiol. 2020 May;30(5):2525-2534. doi: 10.1007/s00330-019-06571-4. Epub 2020 Jan 31. Eur Radiol. 2020. PMID: 32006167
Impact of machine learning-based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease.
Qiao HY, Tang CX, Schoepf UJ, Tesche C, Bayer RR 2nd, Giovagnoli DA, Todd Hudson H Jr, Zhou CS, Yan J, Lu MJ, Zhou F, Lu GM, Jiang JW, Zhang LJ. Qiao HY, et al. Among authors: tang cx. Eur Radiol. 2020 Nov;30(11):5841-5851. doi: 10.1007/s00330-020-06964-w. Epub 2020 May 28. Eur Radiol. 2020. PMID: 32462444
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