Conditional Variational Autoencoder for Functional Connectivity Analysis of Autism Spectrum Disorder Functional Magnetic Resonance Imaging Data: A Comparative Study

Generative models, such as Variational Autoencoders (VAEs), are increasingly employed for atypical pattern detection in brain imaging. During training, these models learn to capture the underlying patterns within “normal” brain images and generate new samples from those patterns. Neurodivergent stat...

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Detalles Bibliográficos
Autores principales: Sidulova, Mariia, Park, Chung Hyuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604768/
https://www.ncbi.nlm.nih.gov/pubmed/37892939
http://dx.doi.org/10.3390/bioengineering10101209

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10604768/
https://www.ncbi.nlm.nih.gov/pubmed/37892939
http://dx.doi.org/10.3390/bioengineering10101209

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