Software Open Access
MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
Oscar Esteban;
Zvi Baratz;
Christopher J. Markiewicz;
Eilidh MacNicol;
Céline Provins;
McKenzie P. Hagen
Researcher(s)
Dylan Nielson;
Jan Varada;
Ross W. Blair;
William Triplett;
Mathias Goncalves;
Nikita Beliy;
John A. Lee;
Ursula A. Tooley;
James D. Kent;
Yaroslav O. Halchenko;
Bennet Fauber;
Taylor Salo;
Michael Krause;
Pablo Velasco;
Thomas Nichols;
Adam Huffman;
Johannes Achtzehn;
Joke Durnez;
Satrajit S. Ghosh;
Ariel Rokem;
Asier Erramuzpe;
Benjamin Kay;
Daniel Birman;
Elodie Savary;
Michael G. Clark;
Patrick Sadil;
Rafael Garcia-Dias;
Adam G. Thomas;
Russell A. Poldrack
Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain http://mriqc.readthedocs.io.
Files
(22.1 MB)
| Name | Size | |
|---|---|---|
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nipreps/mriqc-23.0.1.zip
md5:af10f001d494b98b575758bde6b2a236 |
22.1 MB | Download |
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Indexed in
- Publication date:
- March 24, 2023
- DOI:
-
- Keyword(s):
- neuroimaging workflow pipeline quality-control fMRI BIDS
- Related identifiers:
- Documents
- Part of
- License (for files):
- Apache License 2.0