Medical image analysis
Latent diffusion autoencoders: Toward efficient and meaningful unsupervised representation learning in medical imaging - a case study on Alzheimer's disease.
Gabriele Lozupone, Alessandro Bria, Francesco Fontanella, Frederick J A Meijer, Claudio De Stefano, Henkjan Huisman
Published: 202610.1016/j.media.2026.103932
Abstract
This study presents Latent Diffusion Autoencoder (LDAE), a novel encoder-decoder diffusion-based framework for efficient and meaningful unsupervised learning in medical imaging, focusing on Alzheimer's disease (AD) using brain MRI from the ADNI datab…
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