Výsledky vyhledávání - "Isaac Y. Tian"

A device‐agnostic shape model for automated body composition estimates from 3D optical scans

Autor: Isaac Y, Tian, Michael C, Wong, Samantha, Kennedy, Nisa N, Kelly, Yong E, Liu, Andrea K, Garber, Steven B, Heymsfield, Brian, Curless, John A, Shepherd

Publikováno v: Medical Physics. 49:6395-6409

Many predictors of morbidity caused by metabolic disease are associated with body shape. 3D optical (3DO) scanning captures body shape and has been shown to accurately and precisely predict body composition variables associated with mortality risk. 3

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77fa0ee015ba535e4c520992c9fb6326
https://doi.org/10.1002/mp.15843

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Monitoring Body Composition Change for Intervention Studies with Advancing 3D Optical Imaging Technology in Comparison to Dual-Energy X-Ray Absorptiometry

BackgroundRecent three-dimensional optical (3DO) imaging advancements have provided more accessible, affordable, and self-operating opportunities for assessing body composition. 3DO is accurate and precise with respect to clinical measures made by du

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af7eb795c9f4b1646457f6e49e75e85e
https://doi.org/10.1101/2022.11.14.22281814

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Accuracy and Precision of 3D Optical Imaging for Body Composition and their Associations to Metabolic Markers by Age, BMI, and Ethnicity

Autor: Michael C. Wong, Jonathan P. Bennett, Brandon Quon, Lambert T. Leong, Isaac Y. Tian, Yong E. Liu, Nisa N. Kelly, Cassidy McCarthy, Dominic Chow, Sergi Pujades, Andrea K. Garber, Gertraud Maskarinec, Steven B. Heymsfield, John A. Shepherd

BackgroundRecent three-dimensional optical (3DO) imaging advancements have provided a more accessible, affordable, and self-operating opportunities for assessing body composition. 3DO is accurate and precise compared to clinical measures measured by

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a485335d8afafafe5699da59ef178e5d
https://doi.org/10.1101/2022.11.02.22281819

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