MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

Quality control of MRI is essential for excluding problematic acquisitions and avoiding bias in subsequent image processing and analysis. Visual inspection is subjective and impractical for large scale datasets. Although automated quality assessments have been demonstrated on single-site datasets, i...

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Detalles Bibliográficos
Autores principales: Esteban, Oscar, Birman, Daniel, Schaer, Marie, Koyejo, Oluwasanmi O., Poldrack, Russell A., Gorgolewski, Krzysztof J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5612458/
https://www.ncbi.nlm.nih.gov/pubmed/28945803
http://dx.doi.org/10.1371/journal.pone.0184661

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5612458/
https://www.ncbi.nlm.nih.gov/pubmed/28945803
http://dx.doi.org/10.1371/journal.pone.0184661

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