Scott A. Small

This paper introduces a deep learning approach for spectral registration in MRS data, showing improved accuracy in frequency and phase correction compared to existing methods.

This paper introduces DeepSPEC, a CNN-based method for frequency-and-phase correction of MRS data, showing improved accuracy and robustness to noise compared to MLP and mSR methods.

This paper develops a deep learning model using MRI to classify Alzheimer’s disease and finds it outperforms traditional biomarkers in detecting prodromal disease and predicting progression.

This study applies 3D CNNs to MRI data to classify Alzheimer’s disease, showing high accuracy and identifying the hippocampal formation as a key predictive region.