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...

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Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
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

Internet

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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