Identifying abnormal brain atrophy in Alzheimer’s Disease using deep learning‐based MRI

Abstract

Background: Given the heterogenous and nonlinear nature of Alzheimer’s Disease progression, characterizing individual neurodegeneration trajectories is crucial for identifying participants at the right disease stage for clinical trials.

The paper