I. Tian

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

S. Heymsfield, G. Maskarinec, L. Leong, 2022, medRxiv.

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

Neil M. Johannsen, J. Rood, S. Heymsfield, 2022, medRxiv.

Predicting 3D Body Shape and Body Composition from Conventional 2D Photography.

B. Curless, S. Heymsfield, J. Shepherd, 2020, Medical physics.

Accuracy and Precision of 3D Optical Imaging for Body Composition by Age, BMI, and Ethnicity.

S. Heymsfield, G. Maskarinec, Y. E. Liu, 2023, The American journal of clinical nutrition.

A pose‐independent method for accurate and precise body composition from 3D optical scans

Michael J. Black, B. Curless, S. Heymsfield, 2021, Obesity.

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

S. Heymsfield, G. Maskarinec, S. Kennedy, 2023, The American Journal of Clinical Nutrition.

A Device-agnostic shape model for automated body composition estimates from 3D optical scans.

B. Curless, S. Heymsfield, S. Kennedy, 2022, Medical physics.

Automated body composition estimation from device-agnostic 3D optical scans in pediatric populations.

B. Curless, S. Heymsfield, S. Kennedy, 2023, Clinical nutrition.