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Validation of a fully automated deep learning-enabled solution for CCTA atherosclerotic plaque and stenosis quantification in a diverse real-world cohort.
Lorenzatti D, Filtz A, Pina P, Scotti A, Schenone AL, Gongora CA, Kwan AC, Cheng VY, Garcia MJ, Berman DS, Slomka PJ, Dey D, Slipczuk L. Lorenzatti D, et al. Among authors: cheng vy. J Cardiovasc Comput Tomogr. 2024 Sep-Oct;18(5):507-509. doi: 10.1016/j.jcct.2024.03.012. Epub 2024 Mar 28. J Cardiovasc Comput Tomogr. 2024. PMID: 38553402 No abstract available.
Predicting success of prospective and retrospective gating with dual-source coronary computed tomography angiography: development of selection criteria and initial experience.
Gutstein A, Wolak A, Lee C, Dey D, Ohba M, Suzuki Y, Cheng V, Gransar H, Suzuki S, Friedman J, Thomson LE, Hayes S, Pimentel R, Paz W, Slomka P, Berman DS. Gutstein A, et al. J Cardiovasc Comput Tomogr. 2008 Mar-Apr;2(2):81-90. doi: 10.1016/j.jcct.2007.12.015. Epub 2008 Jan 11. J Cardiovasc Comput Tomogr. 2008. PMID: 19083926
Reproducibility of coronary artery plaque volume and composition quantification by 64-detector row coronary computed tomographic angiography: an intraobserver, interobserver, and interscan variability study.
Cheng VY, Nakazato R, Dey D, Gurudevan S, Tabak J, Budoff MJ, Karlsberg RP, Min J, Berman DS. Cheng VY, et al. J Cardiovasc Comput Tomogr. 2009 Sep-Oct;3(5):312-20. doi: 10.1016/j.jcct.2009.07.001. Epub 2009 Jul 30. J Cardiovasc Comput Tomogr. 2009. PMID: 19709947
117 results