1 citations · 1 across the 1 of their papers we have counts for
3 papers
An explainable framework for the relationship between dementia and glucose metabolism patterns
C. Vázquez-GarcÃa, F. J. MartÃnez-Murcia, F. Segovia Román +6
High-dimensional neuroimaging data presents challenges for assessing neurodegenerative diseases due to complex non-linear relationships. Variational Autoencoders (VAEs) can encode…
Tutorial: VAE as an inference paradigm for neuroimaging
C. Vázquez-GarcÃa, F. J. MartÃnez-Murcia, F. Segovia Román +1
In this tutorial, we explore Variational Autoencoders (VAEs), an essential framework for unsupervised learning, particularly suited for high-dimensional datasets such as neuroimagi…
A Review of Latent Representation Models in Neuroimaging
C. Vázquez-GarcÃa, F. J. MartÃnez-Murcia, F. Segovia Román +1
Neuroimaging data, particularly from techniques like MRI or PET, offer rich but complex information about brain structure and activity. To manage this complexity, latent representa…