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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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:PLoS One
Egile Nagusiak: Esteban, Oscar, Birman, Daniel, Schaer, Marie, Koyejo, Oluwasanmi O., Poldrack, Russell A., Gorgolewski, Krzysztof J.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Public Library of Science 2017
Gaiak:
Research Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC5612458/
https://ncbi.nlm.nih.gov/pubmed/28945803
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0184661
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