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neuroimaging
Here are 522 public repositories matching this topic...
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permuted_ols actually works for one-sample tests, which is not documented.
Also, the outputs are only -log_10( corrected_p_values), which is a bit limited too. It is also ill-documented.
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The date and time on the output of the running docker container isn't correct, adding a volume "-v /etc/localtime:/etc/localtime:ro" might fix this?
This would help me know how long a process
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Some is already in .gitignore, but some is not. We should check all examples.
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Following our work on migrating interactive prompts to Click, some shortcomings regarding the current user experience wrt to interactivity surfaced.
Some pipelines provide the caller with the ability to set some parameters in an interactive fashion, which does not play nice with cluster usage where prompts may hang execution indefinitely. One pi
Summary
The Neurocognitive aging data release with behavioral, structural, and multi-echo functional MRI measures dataset has 301 subjects and two runs of three-echo resting state data spread across two sessions. There's also physio data.
Next Steps
- Add link to Spreng dataset to tedana's multi-echo datasets section.
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Right now the logging is centralized in MAPS Manager even for commands that doesn't require MAPS Manager.
It would be great to separate the different loggers of different part of the software as it is done in Clinica.
Add autocompletion
Summary
The CFF file format is relatively new and supported in GitHub, Zenodo, and Zotero.
Additional details
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In augmentation, elastic_transform, it only applies a random transform on one input image array. I would think to be used for training, the image and mask pair should be transform in the same way. However, this single-input-image, single-output-image method makes it very inconvenient. Could we deform a list of images (np.arrays) using the same transformation in this method ? Thanks!