LDAE

Public

Official PyTorch implementation of "Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging". LDAE is a novel unsupervised framework for 3D medical imaging that combines a latent diffusion model with semantic controls.

3d-mri alzheimers-disease alzheimers-research autoencoders data-augmentation diffusion-models foundation-models image-editing latent-diffusion-models representation-learning

Creat：2025-04-11T23:23:23

Update：2025-06-02T00:09:17

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