3 papers
cs.LG2026
Target-Aware State-Adaptive -Dirichlet Graph Neural Regression for Non-Invasive Body-Composition Estimation
Nadejda Drenska, Matthew Lemoine, Gowri Priya Sunkara +3
Accurate estimation of body-composition outcomes, including body fat percentage (BFP), bone mineral density (BMD), and appendicular lean mass (ALM), is important for evaluating met…
cs.CV2025
Deep Learning Enables Large-Scale Shape and Appearance Modeling in Total-Body DXA Imaging
Arianna Bunnell, Devon Cataldi, Yannik Glaser +6
Total-body dual X-ray absorptiometry (TBDXA) imaging is a relatively low-cost whole-body imaging modality, widely used for body composition assessment. We develop and validate a de…
cs.LG2025
Predicting Anthropometric Body Composition Variables Using 3D Optical Imaging and Machine Learning
Gyaneshwar Agrahari, Kiran Bist, Monika Pandey +7
Accurate prediction of anthropometric body composition variables, such as Appendicular Lean Mass (ALM), Body Fat Percentage (BFP), and Bone Mineral Density (BMD), is essential for…