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Generative Framework for Brain Infarct Masks

Generative Framework for Brain Infarct Masks

Introduces an anatomy-preserving method using VAE and latent diffusion to generate multi-class brain segmentation masks from NCCT data. It learns anatomical latents from masks only, generating realistic samples with optional lesion control. Avoids artifacts seen in pixel-space models.

ArXiv AIResearchFeb 12#research#latent-diffusion#v1