Using convolutional neural networks (CNN) to develop automated quantification of mid-thigh cross-sectional area, Dr. Bodkin determined that CNN-measured mid-thigh cross sectional areas were accurate compared to manual segmented values from this anatomical region. The CNN values were strongly predictive of clinical measures of muscle mass and knee extensor torque. This work may aid body composition assessment by increasing the efficiency of measurement when using MRI.