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Nisa N Kelly

Showing results (1-10 of 21) with videos related to

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Clinical Nutrition ESPEN|March 26, 2026
Abdominal posture biases 3D optical imaging measurements while bioelectrical impedance analysis remains unaffectedDanielle M Balmores, Yong En Liu, Nisa N Kelly, et al.
Obesity (Silver Spring, Md.)|May 14, 2026
Consumer Technologies for Personalized Health: Feasibility of Five-Compartment Body Composition Self-Assessment Using Mobile DevicesJonathan P Bennett, Michael C Wong, Yong En Liu, et al.
The American Journal of Clinical Nutrition|July 26, 2022
Next-generation smart watches to estimate whole-body composition using bioimpedance analysis: accuracy and precision in a diverse, multiethnic sampleJonathan P Bennett, Yong En Liu, Nisa N Kelly, et al.
The American Journal of Clinical Nutrition|March 5, 2023
Reply to Y Lu et alJonathan P Bennett, Yong En Liu, Nisa N Kelly, et al.
Clinical Nutrition ESPEN|July 24, 2024
Variations in bioelectrical impedance devices impact raw measures comparisons and subsequent prediction of body composition using recommended estimation equationsJonathan P Bennett, Devon Cataldi, Yong En Liu, et al.
Clinical Nutrition (Edinburgh, Scotland)|September 21, 2024
Trunk-to-leg volume and appendicular lean mass from a commercial 3-dimensional optical body scanner for disease risk identificationJonathan P Bennett, Michael C Wong, Yong En Liu, et al.
NPJ Digital Medicine|February 2, 2025
3D convolutional deep learning for nonlinear estimation of body composition from whole body morphologyIsaac Y Tian, Jason Liu, Michael C Wong, et al.
Clinical Nutrition (Edinburgh, Scotland)|December 24, 2023
Development and validation of a rapid multicompartment body composition model using 3-dimensional optical imaging and bioelectrical impedance analysisJonathan P Bennett, Devon Cataldi, Yong En Liu, et al.
Medical Physics|July 15, 2022
A device-agnostic shape model for automated body composition estimates from 3D optical scansIsaac Y Tian, Michael C Wong, Samantha Kennedy, et al.
Communications Medicine|January 29, 2024
Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scansLambert T Leong, Michael C Wong, Yong E Liu, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Clinical Nutrition ESPEN|March 26, 2026
Abdominal posture biases 3D optical imaging measurements while bioelectrical impedance analysis remains unaffectedDanielle M Balmores, Yong En Liu, Nisa N Kelly, et al.
Obesity (Silver Spring, Md.)|May 14, 2026
Consumer Technologies for Personalized Health: Feasibility of Five-Compartment Body Composition Self-Assessment Using Mobile DevicesJonathan P Bennett, Michael C Wong, Yong En Liu, et al.
The American Journal of Clinical Nutrition|July 26, 2022
Next-generation smart watches to estimate whole-body composition using bioimpedance analysis: accuracy and precision in a diverse, multiethnic sampleJonathan P Bennett, Yong En Liu, Nisa N Kelly, et al.
The American Journal of Clinical Nutrition|March 5, 2023
Reply to Y Lu et alJonathan P Bennett, Yong En Liu, Nisa N Kelly, et al.
Clinical Nutrition ESPEN|July 24, 2024
Variations in bioelectrical impedance devices impact raw measures comparisons and subsequent prediction of body composition using recommended estimation equationsJonathan P Bennett, Devon Cataldi, Yong En Liu, et al.
Clinical Nutrition (Edinburgh, Scotland)|September 21, 2024
Trunk-to-leg volume and appendicular lean mass from a commercial 3-dimensional optical body scanner for disease risk identificationJonathan P Bennett, Michael C Wong, Yong En Liu, et al.
NPJ Digital Medicine|February 2, 2025
3D convolutional deep learning for nonlinear estimation of body composition from whole body morphologyIsaac Y Tian, Jason Liu, Michael C Wong, et al.
Clinical Nutrition (Edinburgh, Scotland)|December 24, 2023
Development and validation of a rapid multicompartment body composition model using 3-dimensional optical imaging and bioelectrical impedance analysisJonathan P Bennett, Devon Cataldi, Yong En Liu, et al.
Medical Physics|July 15, 2022
A device-agnostic shape model for automated body composition estimates from 3D optical scansIsaac Y Tian, Michael C Wong, Samantha Kennedy, et al.
Communications Medicine|January 29, 2024
Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scansLambert T Leong, Michael C Wong, Yong E Liu, et al.
Pageof 3