MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
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, it is unclear that solutions can generalize to unse...
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Full title
MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
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TN_cdi_plos_journals_1942614115
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1942614115
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0184661
