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A Combined Region- and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging.
Ogunleye OA, Raviprakash H, Simmons AM, Bovell RTM, Martinez PE, Yanovski JA, Berman KF, Schmidt PJ, Jones EC, Bagheri H, Biassou NM, Hsu LY. Ogunleye OA, et al. Among authors: hsu ly. Tomography. 2023 Jan 15;9(1):139-149. doi: 10.3390/tomography9010012. Tomography. 2023. PMID: 36648999 Free PMC article.
Retrospective determination of the area at risk for reperfused acute myocardial infarction with T2-weighted cardiac magnetic resonance imaging: histopathological and displacement encoding with stimulated echoes (DENSE) functional validations.
Aletras AH, Tilak GS, Natanzon A, Hsu LY, Gonzalez FM, Hoyt RF Jr, Arai AE. Aletras AH, et al. Among authors: hsu ly. Circulation. 2006 Apr 18;113(15):1865-70. doi: 10.1161/CIRCULATIONAHA.105.576025. Epub 2006 Apr 10. Circulation. 2006. PMID: 16606793
Fully quantitative pixel-wise analysis of cardiovascular magnetic resonance perfusion improves discrimination of dark rim artifact from perfusion defects associated with epicardial coronary stenosis.
Ta AD, Hsu LY, Conn HM, Winkler S, Greve AM, Shanbhag SM, Chen MY, Patricia Bandettini W, Arai AE. Ta AD, et al. Among authors: hsu ly. J Cardiovasc Magn Reson. 2018 Mar 8;20(1):16. doi: 10.1186/s12968-018-0436-0. J Cardiovasc Magn Reson. 2018. PMID: 29514708 Free PMC article.
593 results