1.
    Wong MC, Bennett JP, Leong LT, Tian IY, Liu YE, Kelly NN, 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 [Internet]. 2023;
    1.
    Tian I, Wong M, Kennedy S, Kelly N, Liu E, Garber A, et al. A Device-Agnostic Shape Model for Automated Body Composition Estimates from 3D Optical Scans. Medical Physics [Internet]. 2022 Jul 15;
    1.
    Cataldi D, Bennett JP, Leong LT, Liu YE, Kelly NN, Shepherd JA. Muscular Function and Strength Predictions Using DXA. Oral Presentation presented at: International Workshop on Quantitative Musculoskeletal Imaging; 2022 Jun 13; Noordwijk, Netherlands.
    1.
    Wong MC, Leong LT, Glaser Y, Sadowski P, Cummings S, Shepherd JA. Artificial Intelligence Predicts Spine and Hip BMD from Whole-Body Dual Energy Xray Absorptiometry Scans. Oral Presentation presented at: International Workshop on Quantitative Musculoskeletal Imaging; 2022 Jun 13; Noordwijk, Netherlands.
    1.
    Bennett JP, Leong LT, Liu YE, Kelly NN, Glaser Y, Sadowski P, et al. Use of Artificial Intelligence Regional Hallucinations to Correct Body Composition Predictions in Individuals with Metal Implants and Poor Positioning. Oral Presentation presented at: International Workshop on Quantitative Musculoskeletal Imaging; 2022 Jun 13; Noordwijk, Netherlands.
    1.
    Leong L, Wong MC, Liu YE, Kelly NN, Glaser Y, Sadowski P, et al. Artificial Intelligence Generates Real Analyzable Dual Energy X-ray Absorptiometry Scans from Three-Dimensional Body Scans. Oral Presentation presented at: International Workshop on Quantitative Musculoskeletal Imaging; 2022 Jun 13; Noordwijk, Netherlands.
    1.
    Bennett J, Wong MC, McCarthy C, Fearnbach N, Queen K, Shepherd J, et al. Emergence of the adolescent obesity epidemic in the United States: five-decade visualization with humanoid avatars. International Journal of Obesity [Internet]. 2022 May 24;
    1.
    Smith B, McCarthy C, Dechenaud ME, Wong MC, Shepherd J, Heymsfield SB. Anthropometric evaluation of a 3D scanning mobile application. Obesity [Internet]. 2022 May 2;
    1.
    Kennedy S, Smith B, Sobhiyeh S, Dechenaud ME, Wong M, Kelly N, et al. Digital anthropometric evaluation of young children: comparison to results acquired with conventional anthropometry. European Journal of Clinical Nutrition [Internet]. 2022 Feb 1;76(2):251–60.
    1.
    Bennett J, Liu, Yong En, Quon, Brandon K., Kelly, Nisa N., Leong, Lambert T., Wong, Michael C., et al. Three‐dimensional optical body shape and features improve prediction of metabolic disease risk in a diverse sample of adults. Obesity [Internet]. 2022;30(8):1589–98.
    1.
    Bennett J, Liu Y, Quon B, Kelly N, Leong L, Wong M, et al. Assessment of clinical measures of total and regional body composition from a commercial 3-dimensional optical body scanner. Clinical Nutrition [Internet]. 2022;41(1):211–8.
    1.
    Wong MC, McCarthy C, Fearnbach N, Yang S, Shepherd J, Heymsfield SB. Emergence of the obesity epidemic: 6-decade visualization with humanoid avatars. The American Journal of Clinical Nutrition [Internet]. 2022 [cited 2022 Apr 7];115(4):1189–93.
    1.
    Minetto MA, Pietrobelli A, Busso C, Bennett JP, Ferraris A, Shepherd JA, et al. Digital Anthropometry for Body Circumference Measurements: European Phenotypic Variations throughout the Decades. Journal of Personalized Medicine [Internet]. 2022;12(6).
    1.
    Maskarinec G, Shvetsov YB, Wong MC, Garber A, Monroe K, Ernst TM, et al. Subcutaneous and visceral fat assessment by DXA and MRI in older adults and children. Obesity [Internet]. 2022;30(4):920–30.
    1.
    Wong MC, Ng BK, Tian I, Sobhiyeh S, Pagano I, Dechenaud M, et al. A pose-independent method for accurate and precise body composition from 3D optical scans. Obesity. 2021 Nov;29(11):1835–47.
    1.
    Cataldi D, Bennett J, Quon B, Liu E, Kelly N, Heymsfield S, et al. Predicting Muscular Strength with 2D Optical in a Diverse Adult Population. Oral Presentation (Virtual) presented at: 3DBODY.TECH Conference & Expo; 2021 Oct 19; Lugano, Switzerland (Hybrid).
    1.
    Leong L, Wong M, Piazza M, Garry S, Heymsfield S, Shepherd J. Creating Accurate Representations of DXA Scans from 3D Optical Body Surface Scans for Arbitrary Regional Body Composition Analysis. In Lugano, Switzerland (Hybrid); 2021.
    1.
    Shepherd J, Wong M, Tian I, Liu E, Kennedy S, Lowe D, et al. Evaluating the Accuracy of an Hallucinatory Algorithm to Predict Body Shape Changes from Dieting and Physical Activity. Oral Presentation (Virtual) presented at: 3DBODY.TECH Conference & Expo; 2021 Oct 19; Lugano, Switzerland (Hybrid).
    1.
    Wong M, Liu E, Kennedy S, Kelly N, Maskarinec G, Garber A, et al. 3D Optical Body Composition Accuracy across Subgroups of BMI and Race/Ethnicity. Oral Presentation presented at: 3DBODY.TECH Conference & Expo; 2021 Oct 19; Lugano, Switzerland (Hybrid).
    1.
    Bennett J. Accessible Five Compartment Body Composition via 3-Dimensional Imaging and Bioelectrical Impedance. Oral Presentation (Virtual) presented at: 3DBODY.TECH Conference & Expo; 2021 Oct 19; Lugano, Switzerland (Hybrid).
    1.
    Dechenaud ME, Kennedy S, Sobhiyeh S, Shepherd J, Heymsfield SB. Total body and regional surface area: Quantification with low‐cost three‐dimensional optical imaging systems. American Journal of Physical Anthropology. 2021 Aug;175(4):865–75.
    1.
    Sobhiyeh S, Kennedy S, Dunkel A, Dechenaud ME, Weston JA, Shepherd J, et al. Digital anthropometry for body circumference measurements: Toward the development of universal three‐dimensional optical system analysis software. Obesity Science & Practice. 2021;7(1):35–44.
    1.
    Wong M, Bennett J, Leong L, Liu E, Kelly N, Shepherd J. Predicting Body Composition with Partial 3D Optical Scans. Oral Presentation presented at: NASA Human Research Program Investigators Workshop; 2021; Virtual.
    1.
    Bennett J, Cataldi D, Quon B, Liu Y, Shepherd J. 3-Dimensional Optical Imaging Improves the Prediction of Metabolic Syndrome over Body Mass Index in Adults [Internet]. Poster presented at: Obesity Week; 2021; Virtual.
    1.
    Sobhiyeh S, Dunkel A, Dechenaud M, Mehrnezhad A, Kennedy S, Shepherd J, et al. Digital Anthropometric Volumes: Toward the Development and Validation of a Universal Software. Medical Physics. 2021;
    1.
    Wong M, Liu YE, Kennedy S, Lowe D, Kelly N, Wong J, et al. Predicting Body Composition Change from Change in Body Shape. Poster presented at: Obesity Week; 2021.
    1.
    Cataldi D, Bennett J, Quon B, Liu EY, Heymsfield S, Schoeller D, et al. Approaches at Increasing the Accuracy of Bioelectrical Impedance-Derived Total Body Water. In Wiley; 2021. p. 58–58.
    1.
    Shepherd J, Buchthal S, Maskarinec G, Garber A, Liu E, Kelly N, et al. Propensity for Visceral and Hepatic Adiposity Varies Among Ethnic Groups of Healthy Children. Poster presented at: Obesity Week; 2020 Nov 2.
    1.
    Maskarinec G, Garber AK, Wong MC, Kelly N, Kazemi L, Buchthal SD, et al. Predictors of liver fat among children and adolescents from five different ethnic groups. Obesity Science & Practice. 2020 Oct 1;7(1):53–62.
    1.
    Sobhiyeh S, Borel N, Dechenaud M, Graham CA, Wong M, Wolenski P, et al. Fully Automated Pipeline for Body Composition Estimation from 3D Optical Scans using Principal Component Analysis: A Shape Up Study. In 2020. p. 1853–8.
    1.
    Hwaung P, Heo M, Kennedy S, Hong S, Thomas DM, Shepherd J, et al. Optimum waist circumference-height indices for evaluating adult adiposity: An analytic review. Obes Rev [Internet]. 2020 Jan;21(1):e12947.
    1.
    Hwaung P, Heo M, Kennedy S, Thomas D, Shepherd J, Heymsfield S. Adjusting waist circumference for stature: Perspective on Ashwell and Gibson comments. Obesity Reviews: an Official Journal of the International Association for the Study of Obesity. 2020;
    1.
    Harty PS, Sieglinger B, Heymsfield SB, Shepherd JA, Bruner D, Stratton MT, et al. Novel body fat estimation using machine learning and 3-dimensional optical imaging. European journal of clinical nutrition [Internet]. 2020;74(5):842–5.
    1.
    Bennett J, Cataldi D, Liu E, Kelly T, Shepherd J. Accessible Five Compartment Body Composition via 3-Dimensional Imaging and Bioelectrical Impedance. Poster presented at: Obesity Week; 2020; Las Vegas, NV.
    1.
    Gallagher D, Andres A, Fields DA, Evans WJ, Kuczmarski R, Lowe Jr WL, et al. Body Composition Measurements from Birth through 5 Years: Challenges, Gaps, and Existing & Emerging Technologies—A National Institutes of Health workshop. Obesity Reviews [Internet]. 2020;21(8):e13033.
    1.
    Liu EY, Quon B, Kelly N, Wong M, Kennedy S, Lowe D, et al. Calibrating and Validating Body Composition From Three-Dimensional Optical Scans. In Wiley; 2020. p. 10–1.
    1.
    Sobhiyeh S, Kennedy S, Dunkel A, Dechenaud M, Shepherd J, Wolenski P, et al. Digital Anthropometry: Development and Validation of Universal 3D Optical Analysis System Software. In Wiley; 2020. p. 78–9.
    1.
    Kennedy S, Hwaung P, Kelly N, Liu YE, Sobhiyeh S, Heo M, et al. Optical imaging technology for body size and shape analysis: evaluation of a system designed for personal use. European journal of clinical nutrition [Internet]. 2020;74(6):920–9.
    1.
    Wong M, Liu EY, Lowe D, Bennett J, Leong L, Weiss E, et al. Detecting Significant Body Composition Change With Reposed Three-Dimensional Optical Surface Scans. Poster presented at: Obesity Week; 2020; Virtual.
    1.
    Tian IY, Ng BK, Wong MC, Kennedy S, Hwaung P, Kelly N, et al. Predicting 3D body shape and body composition from conventional 2D photography. Medical Physics. 2020;47(12):6232–45.
    1.
    Stanley A, Schuna J, Yang S, Kennedy S, Heo M, Wong M, et al. Distinct phenotypic characteristics of normal-weight adults at risk of developing cardiovascular and metabolic diseases. The American Journal of Clinical Nutrition. 2020;112(4):967–78.
    1.
    Cataldi D, Bennett J, Quon B, Liu EY, Heymsfield SB, Schoeller D, et al. Agreement of Total Body Water Estimates in Saliva and Urine via Multiple Labs in Their Precision and Accuracy of Duplicate Samples. Poster presented at: Obesity Week; 2020; Virtual.
    1.
    Smith B, Kennedy S, Shepherd J, Heymsfield S. Prediction of Cardiovascular Disease Risk From Clinically Available Measures. In Wiley; 2020. p. 140–140.
    1.
    Panizza CE, Wong MC, Kelly N, Liu YE, Shvetsov YB, Lowe DA, et al. Diet Quality and Visceral Adiposity among a Multiethnic Population of Young, Middle, and Older Aged Adults. Current developments in nutrition. 2020;4(6):nzaa090.
    1.
    Heymsfield S, Stanley A, Schuna J, Yang S, Kennedy S, Heo M, et al. Distinct Characteristics of Normal-Weight Adults at Risk for Developing Cardiometabolic Diseases. In 2020. p. 80–80.
    1.
    Wong MC, Hwaung P, Heymsfield SB, Shepherd J. Using Derived Body Composition Equation vs System Specific Equations. In Las Vegas, NV; 2019.
    1.
    Sobhiyeh S, Dechenaud M, Dunkel A, LaBorde M, Kennedy S, Shepherd J, et al. Hole filling in 3D scans for digital anthropometric applications. In IEEE; 2019. p. 2752–7.
    1.
    Wong M, Ng BK, Pagano I, Garber AK, Heymsfield SB, Shepherd J. Using Body Shape to Predict Bone Mineral Content and Density. In Chateau Lake Louise; 2019.
    1.
    Sobhiyeh S, Dunkel A, Dechenaud M, Kennedy S, Shepherd J, Heymsfield S, et al. Crotch detection on 3D optical scans of human subjects. In 2019. p. 10-1-10–7.
    1.
    Ng BK, Sommer MJ, Wong MC, Pagano I, Nie Y, Fan B, et al. Detailed 3-dimensional body shape features predict body composition, blood metabolites, and functional strength: the Shape Up! studies. The American journal of clinical nutrition. 2019;110(6):1316–26.