CSV-ViT proposes ROI-preserving variable-sized cortical supervertices and a mask-aware ViT to classify AD-related statuses from T1 MRI, reporting higher performance than recent surface models.
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Deep learning model on large uniform healthy MRI dataset achieves brain age MAE of 4.06 years (hold-out) and 4.21 years (independent set), with frontal lobe prominence and age gaps linked to neuropsychological scores.
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CSV-ViT: A Vision Transformer with the Variable-sized Cortical Supervertices for Detection of Alzheimer's Disease Pathologies
CSV-ViT proposes ROI-preserving variable-sized cortical supervertices and a mask-aware ViT to classify AD-related statuses from T1 MRI, reporting higher performance than recent surface models.
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Estimating brain age based on a healthy population with deep learning and structural MRI
Deep learning model on large uniform healthy MRI dataset achieves brain age MAE of 4.06 years (hold-out) and 4.21 years (independent set), with frontal lobe prominence and age gaps linked to neuropsychological scores.