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neuroimaging

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Jing-He
Jing-He commented Jul 25, 2018

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!

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

  • Updated Mar 30, 2022
  • Python
clinica
ghisvail
ghisvail commented Jun 30, 2021

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

enhancement good first issue
tedana
tsalo
tsalo commented Mar 30, 2022

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

  1. Add link to Spreng dataset to tedana's multi-echo datasets section.
good first issue documentation priority: low impact: low
tsalo
tsalo commented Oct 18, 2021

Summary

The CFF file format is relatively new and supported in GitHub, Zenodo, and Zotero.

Additional details

See https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-citation-files

Next steps

good first issue community priority: low impact: low

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