A foundation VAE pretrained on natural images and videos serves as a frozen interface for CT reconstruction, augmentation, and generation, yielding 3.9% NSD gains in segmentation and improved generation metrics across 18 diseases.
Large motion video autoencoding with cross-modal video vae.arXiv preprint arXiv:2412.17805,
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Foundation VAEs for 3D CT Reconstruction, Augmentation, and Generation
A foundation VAE pretrained on natural images and videos serves as a frozen interface for CT reconstruction, augmentation, and generation, yielding 3.9% NSD gains in segmentation and improved generation metrics across 18 diseases.