43 publications · sorted by year, newest first.
2024
Accurate Prediction of 3D Humanoid Avatars for Anthropometric Modeling
Heymsfield SB, McCarthy C, Wong M, Brown J, Bennett JP, Shepherd J
Current Developments in Nutrition, 8, 103558 (2024)
Accurate prediction of three-dimensional humanoid avatars for anthropometric modeling
McCarthy C, Wong MC, Brown J, Ramirez S, Yang S, Bennett JP, Shepherd J, Heymsfield SB
International Journal of Obesity, 48, 1741-1747 (2024)
Evaluation of body shape as a human body composition assessment in isolated conditions and remote environments
Wong MC, Bennett JP, Leong LT, Liu YE, Kelly NN, Cherry JA, Kloza K, Li B, Iuliano S, Sibonga JD, Sawyer A, Ayton J, Shepherd J
npj Microgravity, 10, 72 (2024)
Trunk-to-leg volume and appendicular lean mass from a commercial 3-dimensional optical body scanner for disease risk identification
Bennett JP, Wong MC, Liu YE, Quon BK, Kelly NN, Garber AK, Heymsfield SB, Shepherd J
Clinical Nutrition, 43, 2430-2437 (2024)
Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scans
Leong LT, Wong MC, Liu YE, Glaser Y, Quon BK, Kelly NN, Cataldi D, Sadowski P, Heymsfield SB, Shepherd J
Communications Medicine, 4, 13 (2024)
Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
Minetto MA, Busso C, Ferraris A, Pietrobelli A, Shepherd J, McCarthy C, Heymsfield SB
Journal of Visualized Experiments, , (2024)
Prediction of total and regional body composition from 3D body shape
Qiao C, Rolfe EDL, Mak E, Sengupta A, Powell RC, Watson L, Heymsfield SB, Shepherd J, Wareham NJ, Brage S, Cipolla R
npj Digital Medicine, 7, 298 (2024)
2023
Predictors of visceral and subcutaneous adipose tissue and muscle density: The ShapeUp! Kids study
Maskarinec G, Shvetsov YB, Wong MC, Cataldi D, Bennett JP, Garber AK, Buchthal SD, Heymsfield SB, Shepherd J
Nutrition Metabolism and Cardiovascular Diseases, 34, 799-806 (2023)
Equations for smartphone prediction of adiposity and appendicular lean mass in youth soccer players
Minetto MA, Pietrobelli A, Ferraris A, Busso C, Magistrali M, Vignati C, Sieglinger BA, Bruner DM, Shepherd J, Heymsfield SB
Scientific Reports, 13, 20734 (2023)
Development and validation of a rapid multicompartment body composition model using 3-dimensional optical imaging and bioelectrical impedance analysis
Bennett JP, Cataldi D, Liu YE, Kelly NN, Quon BK, Schoeller DA, Kelly TL, Heymsfield SB, Shepherd J
Clinical Nutrition, 43, 346-356 (2023)
Advances in digital anthropometric body composition assessment: neural network algorithm prediction of appendicular lean mass
Marazzato F, McCarthy C, Field RH, Nguyen HTN, Nguyen T, Shepherd J, Tinsley GM, Heymsfield SB
European Journal of Clinical Nutrition, 78, 452-454 (2023)
Automated body composition estimation from device-agnostic 3D optical scans in pediatric populations
Tian IY, Wong MC, Nguyen WM, Kennedy S, McCarthy C, Kelly NN, Liu YE, Garber AK, Heymsfield SB, Curless B, Shepherd J
Clinical Nutrition, 42, 1619-1630 (2023)
Cross-sectional assessment of body composition and detection of malnutrition risk in participants with low body mass index and eating disorders using 3D optical surface scans
Garber AK, Bennett JP, Wong MC, Tian IY, Maskarinec G, Kennedy S, McCarthy C, Kelly NN, Liu YE, Machen VI, Heymsfield SB, Shepherd J
American Journal of Clinical Nutrition, 118, 812-821 (2023)
Translating digital anthropometry measurements obtained from different 3D body image scanners
Ashby N, LaPorte GJ, Richardson D, Scioletti M, Heymsfield SB, Shepherd J, McGurk M, Bustillos B, Gist NH, Thomas DM
European Journal of Clinical Nutrition, 77, 872-880 (2023)
Accuracy and Precision of 3-dimensional Optical Imaging for Body Composition by Age, BMI, and Ethnicity
Wong MC, Bennett JP, Quon BK, Leong LT, Tian IY, Liu YE, Kelly NN, McCarthy C, Chow DC, Pujades S, Garber AK, Maskarinec G, Heymsfield SB, Shepherd J
American Journal of Clinical Nutrition, 118, 657-671 (2023)
Monitoring body composition change for intervention studies with advancing 3D optical imaging technology in comparison to dual-energy X-ray absorptiometry
Wong MC, Bennett JP, Leong LT, Tian IY, Liu YE, Kelly NN, …, Shepherd J
American Journal of Clinical Nutrition, 117, 802-813 (2023)
Smartphone prediction of skeletal muscle mass: model development and validation in adults
McCarthy C, Tinsley GM, Yang S, Irving BA, Wong MC, Bennett JP, Shepherd J, Heymsfield SB
American Journal of Clinical Nutrition, 117, 794-801 (2023)
2022
A device‐agnostic shape model for automated body composition estimates from 3D optical scans
Tian IY, Wong MC, Kennedy S, Kelly NN, Liu YE, Garber AK, Heymsfield SB, Curless B, Shepherd J
Medical Physics, 49, 6395-6409 (2022)
Three‐dimensional optical body shape and features improve prediction of metabolic disease risk in a diverse sample of adults
Bennett JP, Liu YE, Quon BK, Kelly NN, Leong LT, Wong MC, Kennedy S, Chow DC, Garber AK, Weiss EJ, Heymsfield SB, Shepherd J
Obesity, 30, 1589-1598 (2022)
Digital Anthropometry for Body Circumference Measurements: European Phenotypic Variations throughout the Decades
Minetto MA, Pietrobelli A, Busso C, Bennett JP, Ferraris A, Shepherd J, Heymsfield SB
Journal of Personalized Medicine, 12, 906 (2022)
Anthropometric evaluation of a 3D scanning mobile application
Smith B, McCarthy C, Dechenaud M, Wong MC, Shepherd J, Heymsfield SB
Obesity, 30, 1181-1188 (2022)
2021
Total body and regional surface area: Quantification with low‐cost three‐dimensional optical imaging systems
Dechenaud M, Kennedy S, Sobhiyeh S, Shepherd J, Heymsfield SB
American Journal of Physical Anthropology, 175, 865-875 (2021)
Digital anthropometric evaluation of young children: comparison to results acquired with conventional anthropometry
Kennedy S, Smith B, Sobhiyeh S, Dechenaud M, Wong MC, Kelly NN, Shepherd J, Heymsfield SB
European Journal of Clinical Nutrition, 76, 251-260 (2021)
Digital anthropometric volumes: Toward the development and validation of a universal software
Sobhiyeh S, Dunkel A, Dechenaud M, Mehrnezhad A, Kennedy S, Shepherd J, Wolenski PR, Heymsfield SB
Medical Physics, 48, 3654-3664 (2021)
A pose‐independent method for accurate and precise body composition from 3D optical scans
Wong MC, Ng BK, Tian IY, Sobhiyeh S, Pagano I, Dechenaud M, …, Shepherd J
Obesity, 29, 1835-1847 (2021)
Assessment of clinical measures of total and regional body composition from a commercial 3-dimensional optical body scanner
Bennett JP, Liu YE, Quon BK, Kelly NN, Wong MC, Kennedy S, Chow DC, Garber AK, Weiss EJ, Heymsfield SB, Shepherd J
Clinical Nutrition, 41, 211-218 (2021)
2020
Fully Automated Pipeline for Body Composition Estimation from 3D Optical Scans using Principal Component Analysis: A Shape Up Study
Sobhiyeh S, Borel N, Dechenaud M, Graham CA, Wong MC, Wolenski PR, Shepherd J, Heymsfield SB
Diet Quality and Visceral Adiposity among a Multiethnic Population of Young, Middle, and Older Aged Adults
Panizza C, Wong MC, Kelly NN, Liu YE, Shvetsov YB, Lowe DA, Weiss EJ, Heymsfield SB, Kennedy S, Boushey CJ, Maskarinec G, Shepherd J
Current Developments in Nutrition, 4, nzaa090 (2020)
Digital anthropometry for body circumference measurements: Toward the development of universal three‐dimensional optical system analysis software
Sobhiyeh S, Kennedy S, Dunkel A, Dechenaud M, Weston J, Shepherd J, Wolenski PR, Heymsfield SB
Obesity Science & Practice, 7, 35-44 (2020)
Predicting 3D body shape and body composition from conventional 2D photography
Tian IY, Ng BK, Wong MC, Kennedy S, Hwaung P, Kelly NN, Liu E, Garber AK, Curless B, Heymsfield SB, Shepherd J
Medical Physics, 47, 6232-6245 (2020)
Novel body fat estimation using machine learning and 3-dimensional optical imaging
Harty PS, Sieglinger BA, Heymsfield SB, Shepherd J, Bruner DM, Stratton MT, Tinsley GM
European Journal of Clinical Nutrition, 74, 842-845 (2020)
2019
Crotch detection on 3D optical scans of human subjects
Sobhiyeh S, Dunkel A, Dechenaud M, Kennedy S, Shepherd J, Heymsfield SB, Wolenski PR
Electronic Imaging, 31, 10-1 (2019)
Hole Filling in 3D Scans for Digital Anthropometric Applications
Sobhiyeh S, Dechenaud M, Dunkel A, LaBorde ML, Kennedy S, Shepherd J, Heymsfield SB, Wolenski PR
Optical imaging technology for body size and shape analysis: evaluation of a system designed for personal use
Kennedy S, Hwaung P, Kelly NN, Liu YE, Sobhiyeh S, Heo M, Shepherd J, Heymsfield SB
European Journal of Clinical Nutrition, 74, 920-929 (2019)
Children and Adolescents’ Anthropometrics Body Composition from 3‐D Optical Surface Scans
Wong MC, Ng BK, Kennedy S, Hwaung P, Liu EY, Kelly NN, Pagano I, Garber AK, Chow DC, Heymsfield SB, Shepherd J
Obesity, 27, 1738-1749 (2019)
Detailed 3-dimensional body shape features predict body composition, blood metabolites, and functional strength: the Shape Up! studies
Ng BK, Sommer MJ, Wong MC, Pagano I, Nie Y, Fan B, …, Shepherd J
American Journal of Clinical Nutrition, 110, 1316-1326 (2019)
