Overcoming Site Variability in Multisite fMRI Studies: an Autoencoder Framework for Enhanced Generalizability of Machine Learning Models Article

Almuqhim, Fahad, Saeed, Fahad. (2025). Overcoming Site Variability in Multisite fMRI Studies: an Autoencoder Framework for Enhanced Generalizability of Machine Learning Models . Neuroinformatics, 23(3), 10.1007/s12021-025-09746-1

International Collaboration

cited authors

  • Almuqhim, Fahad; Saeed, Fahad

sustainable development goals

authors

publication date

  • September 2, 2025

published in

keywords

  • BIOMARKERS
  • Classification
  • Computer Science
  • Computer Science, Interdisciplinary Applications
  • Data harmonization
  • Deep learning
  • FMRI
  • FUNCTIONAL CONNECTIVITY
  • HARMONIZATION
  • Life Sciences & Biomedicine
  • MRI
  • Multisite
  • Neurosciences
  • Neurosciences & Neurology
  • RELIABILITY
  • Science & Technology
  • Technology

Digital Object Identifier (DOI)

volume

  • 23

issue

  • 3