This repo contains code to prepare silhouettes from UK Biobank whole-body magnetic resonance images and training deep learning models to estimate fat-depot volumes.
Several files are provided:
- ingest_mri.py: ingesting UKB MRI data
- two_d_projection.py: computing 2-dimensional projections
- ingest_autosegment.py: autosegmenting axial slices
- train_models.py: training deep-learning models
- callbacks.py: supporting callbacks required during training
- shrinkage_loss.py: supportive loss required during training
Estimating body fat distribution - a driver of cardiometabolic health - from silhouette images, Marcus D. R. Klarqvist, PhD*, Saaket Agrawal, BS*, Nathaniel Diamant, BS, Patrick T. Ellinor, MD, PhD, Anthony Philippakis, MD, PhD, Kenney Ng, PhD, Puneet Batra, PhD, Amit V. Khera, MD