Comparative Study of Anatomical and Learned Features in AI Models for Structural Brain MRI
Abstract In this work, we comprehensively evaluate three popular feature-extractionparadigms in AI-based neuroimaging modeling: (1) computation of anatomicalsurfaces and volumes, (2) supervised learning with convolutional neural net-works (CNNs), and (3) unsupervised pretraining of vision transformer (ViT)foundation mo...
Boyang Yu, Miquel López Escoriza, Long Chen et al.
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