ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data Article

Almuqhim, Fahad, Saeed, Fahad. (2021). ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data . 15 10.3389/fncom.2021.654315

Open Access

cited authors

  • Almuqhim, Fahad; Saeed, Fahad

sustainable development goals

authors

publication date

  • April 8, 2021

keywords

  • ABIDE
  • ASD
  • CHILDREN
  • CLASSIFICATION
  • LEARNING APPROACH
  • Life Sciences & Biomedicine
  • Mathematical & Computational Biology
  • Neurosciences
  • Neurosciences & Neurology
  • Science & Technology
  • autoencoder
  • classification
  • deep-learning
  • diagnosis
  • fMRI
  • sparse autoencoder

Digital Object Identifier (DOI)

publisher

  • FRONTIERS MEDIA SA

volume

  • 15