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APPIAN is an open-source automated software pipeline for analyzing PET images in conjunction with MRI. The goal of APPIAN is to make PET tracer kinetic data analysis easy for users with moderate co…
This project is trained on private MRI data, where scans are marked QC_PASS or QC_FAIL. Several architectures of neural networks are explored to make automatic predictions for new images.
Codebase for analyses conducted as part of the paper: "The variegation of human brain vulnerability to rare genetic disorders and convergence with behaviorally defined disorders"