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The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data
Quantifying, controlling, and monitoring image quality is an essential prerequisite for ensuring the validity and reproducibility of many types of neuroimaging data analyses. Implementation of quality control (QC) procedures is the key to ensuring that neuroimaging data are of high-quality and their...
Autores principales: | Kim, Hosung, Irimia, Andrei, Hobel, Samuel M., Pogosyan, Mher, Tang, Haoteng, Petrosyan, Petros, Blanco, Rita Esquivel Castelo, Duffy, Ben A., Zhao, Lu, Crawford, Karen L., Liew, Sook-Lei, Clark, Kristi, Law, Meng, Mukherjee, Pratik, Manley, Geoffrey T., Van Horn, John D., Toga, Arthur W. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6722229/ https://www.ncbi.nlm.nih.gov/pubmed/31555116 http://dx.doi.org/10.3389/fninf.2019.00060 |
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