| Year |
Citation |
Score |
| 2023 |
Wong MC, Bennett JP, Leong LT, Tian IY, Liu YE, Kelly NN, McCarthy C, Wong JM, Ebbeling CB, Ludwig DS, Irving BA, Scott MC, Stampley J, Davis B, Johannsen N, et al. Monitoring Body Composition Change for Intervention Studies with Advancing 3D Optical Imaging Technology in Comparison to Dual-Energy X-Ray Absorptiometry. The American Journal of Clinical Nutrition. PMID 36796647 DOI: 10.1016/j.ajcnut.2023.02.006 |
0.371 |
|
| 2022 |
Glaser Y, Shepherd J, Leong L, Wolfgruber T, Lui LY, Sadowski P, Cummings SR. Deep learning predicts all-cause mortality from longitudinal total-body DXA imaging. Communications Medicine. 2: 102. PMID 35992891 DOI: 10.1038/s43856-022-00166-9 |
0.39 |
|
| 2022 |
Bennett JP, Liu YE, Quon BK, Kelly NN, Leong LT, Wong MC, Kennedy SF, Chow DC, Garber AK, Weiss EJ, Heymsfield SB, Shepherd JA. Three-dimensional optical body shape and features improve prediction of metabolic disease risk in a diverse sample of adults. Obesity (Silver Spring, Md.). 30: 1589-1598. PMID 35894079 DOI: 10.1002/oby.23470 |
0.375 |
|
| 2021 |
Leong LT, Malkov S, Drukker K, Niell BL, Sadowski P, Wolfgruber T, Greenwood HI, Joe BN, Kerlikowske K, Giger ML, Shepherd JA. Dual-energy three-compartment breast imaging for compositional biomarkers to improve detection of malignant lesions. Communications Medicine. 1: 29. PMID 35602210 DOI: 10.1038/s43856-021-00024-0 |
0.36 |
|
| 2021 |
Zhu X, Wolfgruber TK, Leong L, Jensen M, Scott C, Winham S, Sadowski P, Vachon C, Kerlikowske K, Shepherd JA. Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 Women. Radiology. 203758. PMID 34491131 DOI: 10.1148/radiol.2021203758 |
0.346 |
|
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