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!

Convert references in nilearn/regions/region_extractor.py to use footcite / footbibliography.
See #2759

We would need to migrate the Registration case library to more modern, sustainable infrastructure, such as Github pages or ReadTheDocs.

• Create github repository under the Slicer organization
• Move all resources (screenshots, scene files, etc.) to a github repository
• Convert all the text to markdown
• S

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

Some is already in .gitignore, but some is not. We should check all examples.

Problem

The sample column in events.tsv encodes the following:

OPTIONAL. Onset of the event according to the sampling scheme of the recorded modality (i.e., referring to the raw data file that the events.tsv file accompanies).

As identified by @robertoostenveld, we do

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

Currently the help on commandline is printed correctly if -h is added at the end of the command or not (depending on the command).

The main function could be improved to the and subparsers.required = True removed to homogeneize everything.

It seems likely that NIMADS datasets will be stored in compressed json files, so we should ensure that NiMARE Datasets can load from those in addition to standard jsons.