A multi-scale graph-based grading framework on MRI achieves 81% AUC for predicting MCI to AD conversion on ADNI-1, rising to 85% when combined with cognitive scores.
Reproducible evaluation of methods for predicting progression to alzheimer’s disease from clinical and neuroimaging data
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Multi-scale Graph-based Grading for Alzheimer's Disease Prediction
A multi-scale graph-based grading framework on MRI achieves 81% AUC for predicting MCI to AD conversion on ADNI-1, rising to 85% when combined with cognitive scores.