A Bayesian tensor-on-tensor varying coefficient model with Gaussian processes forecasts Alzheimer's progression by predicting future cortical thickness from T1-weighted MRIs.
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Bayesian Tensor-on-Tensor Varying Coefficient Model for Forecasting Alzheimer's Disease Progression
A Bayesian tensor-on-tensor varying coefficient model with Gaussian processes forecasts Alzheimer's progression by predicting future cortical thickness from T1-weighted MRIs.