Research Assistant – AI for Clinical CT Imaging
Nazarbayev University
Research university in Kazakhstan.
Aug 2026 — PresentBuilt a CT-based pipeline for osteoporosis and sarcopenia screening in 280 patients; automated vertebra and psoas segmentation with mean Dice 0.89 against expert-corrected masks.
• Developed a deep-learning pipeline for opportunistic osteoporosis and sarcopenia screening from routine lumbar-spine CT, linking L3 psoas muscle biomarkers to DXA bone mineral density in 280 patients. • Automated vertebra and psoas segmentation on a multi-vendor cohort (5 manufacturers): baseline mean Dice 0.89 vs expert-corrected masks; the validated annotation set is used to fine-tune the model and train CNN classifiers for osteoporosis prediction.
