Published April 6, 2020
| Version 0.15.2
Software
Open
MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
Creators
- 1. Department of Psychology, Stanford University, CA, USA
- 2. Functional MRI Facility, National Institute of Mental Health, Bethesda, MD, USA
- 3. Data Science and Sharing Team, National Institute of Mental Health, Bethesda, MD, USA
Contributors
Researchers:
- 1. Department of Psychology, Stanford University, CA, USA
- 2. Data Science and Sharing Team, National Institute of Mental Health, Bethesda, MD, USA
- 3. Functional MRI Facility, National Institute of Mental Health, Bethesda, MD, USA
- 4. Department of Psychology, Florida International University
Description
Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain http://mriqc.readthedocs.io.
Files
poldracklab/mriqc-0.15.2.zip
Files
(13.1 MB)
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md5:879c1ff52e64df19b9362ce2e999d333
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Additional details
Related works
- Documents
- http://mriqc.readthedocs.io (URL)
- Is part of
- 10.1371/journal.pone.0184661 (DOI)