MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
Authors
Keywords
Magnetic resonance imaging, Neuroimaging, Data acquisition, Image processing, Preprocessing, Quality control, Software tools, Vendors
Journal
PLoS One
Volume 12, Issue 9, Pages e0184661
Publisher
Public Library of Science (PLoS)
Online
2017-09-26
DOI
10.1371/journal.pone.0184661
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
- (2017) Alexandre Abraham et al. NEUROIMAGE
- BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods
- (2017) Krzysztof J. Gorgolewski et al. PLoS Computational Biology
- Singularity: Scientific containers for mobility of compute
- (2017) Gregory M. Kurtzer et al. PLoS One
- Subtle in-scanner motion biases automated measurement of brain anatomy from in vivo MRI
- (2016) Aaron Alexander-Bloch et al. HUMAN BRAIN MAPPING
- Multimodal population brain imaging in the UK Biobank prospective epidemiological study
- (2016) Karla L Miller et al. NATURE NEUROSCIENCE
- Automated Quality Assessment of Structural Magnetic Resonance Brain Images Based on a Supervised Machine Learning Algorithm
- (2016) Ricardo A. Pizarro et al. Frontiers in Neuroinformatics
- Quality Control of Structural MRI Images Applied Using FreeSurfer—A Hands-On Workflow to Rate Motion Artifacts
- (2016) Lea L. Backhausen et al. Frontiers in Neuroscience
- The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
- (2016) Krzysztof J. Gorgolewski et al. Scientific Data
- A phenome-wide examination of neural and cognitive function
- (2016) R.A. Poldrack et al. Scientific Data
- Head motion during MRI acquisition reduces gray matter volume and thickness estimates
- (2015) Martin Reuter et al. NEUROIMAGE
- The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
- (2013) A Di Martino et al. MOLECULAR PSYCHIATRY
- Spurious group differences due to head motion in a diffusion MRI study
- (2013) Anastasia Yendiki et al. NEUROIMAGE
- Toward open sharing of task-based fMRI data: the OpenfMRI project
- (2013) Russell A. Poldrack et al. Frontiers in Neuroinformatics
- The Human Connectome Project: A data acquisition perspective
- (2012) D.C. Van Essen et al. NEUROIMAGE
- FreeSurfer
- (2012) Bruce Fischl NEUROIMAGE
- FSL
- (2011) Mark Jenkinson et al. NEUROIMAGE
- Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion
- (2011) Jonathan D. Power et al. NEUROIMAGE
- Tackling the widespread and critical impact of batch effects in high-throughput data
- (2010) Jeffrey T. Leek et al. NATURE REVIEWS GENETICS
- Automatic quality assessment in structural brain magnetic resonance imaging
- (2009) Bénédicte Mortamet et al. MAGNETIC RESONANCE IN MEDICINE
- Unbiased nonlinear average age-appropriate brain templates from birth to adulthood
- (2009) VS Fonov et al. NEUROIMAGE
- Automated quality control of brain MR images
- (2008) Elias L. Gedamu et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now