Article

Using Diffusion Transformers to Generate Synthetic Diffusion Scalar Maps for Data Augmentation

2025-09-01

Abstract excerpt

Generation of high-quality synthetic brain MRI data could be beneficial for advancing neuroimaging research, particularly when access to large-scale, labeled datasets is limited. In this work, we leverage a pretrained Diffusion Transformer (DiT) architecture to synthesize 3D mean diffusivity (MD) scalar maps from the Cam-CAN dataset. To adapt the DiT model—originally trained on 2D natural images—for 3D neuroimagin...

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Literature Corpus work: 20dfa548-8335-5554-9c93-6f8d4164c321
DOI: 10.1101/2025.08.27.672680

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