MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data

Large-scale data obtained from aggregation of already collected multi-site neuroimaging datasets has brought benefits such as higher statistical power, reliability, and robustness to the studies. Despite these promises from growth in sample size, substantial technical variability stemming from diffe...

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Detalles Bibliográficos
Autores principales: Torbati, Mahbaneh Eshaghzadeh, Minhas, Davneet S., Laymon, Charles M., Maillard, Pauline, Wilson, James D., Chen, Chang-Le, Crainiceanu, Ciprian M., DeCarli, Charles S., Hwang, Seong Jae, Tudorascu, Dana L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10529705/
https://www.ncbi.nlm.nih.gov/pubmed/37595405
http://dx.doi.org/10.1016/j.media.2023.102926

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10529705/
https://www.ncbi.nlm.nih.gov/pubmed/37595405
http://dx.doi.org/10.1016/j.media.2023.102926

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