Disentangling brain atrophy heterogeneity in Alzheimer's disease: A deep self-supervised approach with interpretable latent space.
Sohyun KangSung-Woo KimJoon-Kyung SeongPublished in: NeuroImage (2024)
Keyphrases
- latent space
- latent variables
- brain tissue
- low dimensional
- gaussian process
- dimensionality reduction
- generative model
- lower dimensional
- manifold learning
- feature space
- high dimensional
- parameter space
- gaussian processes
- matrix factorization
- transfer learning
- gaussian process latent variable models
- human brain
- magnetic resonance images
- probabilistic latent semantic analysis
- distance metric
- gaussian mixture
- pattern recognition
- brain images
- high dimensional data
- probabilistic model
- machine learning
- high dimensional spaces