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Conditional Latent Diffusion for Synthetic Brain MRI in Alzheimer’s Disease: A Preprocessing-Focused Pipeline

2026-08-07

Abstract excerpt

Alzheimer’s disease (AD) detection from structural magnetic resonance imaging (MRI) using deep learning depends on large, labelled datasets. However, many cohorts contain only a few hundred subjects, for which standard augmentation adds very limited diversity. Latent diffusion models (LDMs) offer an alternative. The current study presents a reproducible two-stage pipeline that generates 2D coronal brain MRI condit...

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Literature Corpus work
ce2a87ce-b28e-5d4e-b605-0299d3926eb1
DOI
10.20944/preprints202608.0508.v1
Open publication

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Conditional Latent Diffusion for Synthetic Brain MRI in Alzheimer’s Disease: A Preprocessing-Focused PipelineDOI 10.20944/preprints202608.0508.v1
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