Linear extrapolation in autoencoder latent space with a population-averaged progression rate predicts structural brain aging in ADNI MRIs and outperforms a GAN baseline in several regions.
Diffusion models beat gans on image synthesis,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
MRExtrap: Longitudinal Aging of Brain MRIs using Linear Modeling in Latent Space
Linear extrapolation in autoencoder latent space with a population-averaged progression rate predicts structural brain aging in ADNI MRIs and outperforms a GAN baseline in several regions.