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ME-ICA

20 indexed repositories · View on GitHub

• tedana

  TE-dependent analysis of multi-echo fMRI

  Python · 191 stars

• me-ica

  ME-ICA v4 (MEICA4) integrated multi-echo fMRI processing pipeline

  Python · 23 stars

• rica

  Rica (Reports for ICA) provides an app to visualize ICA components and perform manual classification in an interactive way

  JavaScript · 9 stars

• aroma

  ICA-AROMA, as a Python package. A work in progress.

  Python · 7 stars

• mapca

  A Python implementation of the moving average principal components analysis methods from GIFT

  Python · 7 stars

• multi-echo-data-analysis

  Still a work in progress.

  TeX · 6 stars

• tedana-comparison

  Comparison of implementations of multi-echo fMRI denoising pipelines across datasets.

  Jupyter Notebook · 4 stars

• tedana-reliability-analysis

  An analysis of the reliability of the tedana denoising pipeline on an example dataset

  Jupyter Notebook · 4 stars

• ohbm-2021-multiecho

  Jupyter Notebook · 2 stars

• godec

  Go Decomposition for fMRI data, in Python. A work in progress.

  Python · 2 stars

• me-ica.github.io

  Landing page for the ME-ICA organization.

  HTML · 2 stars

• ohbm-2022-multiecho

  2 stars

• ddmra

  Code for running distance-dependent motion-related artifact analyses in Python

  Python · 2 stars

• open-multi-echo-data

  Open multi-echo datasets

  HTML · 2 stars

• tedana-ohbm-2019

  Materials for OHBM 2019

  Jupyter Notebook · 1 star

• ohbm-2024-multiecho

  Multi-echo related content at OHBM 2024

  1 star

• newsletters

  Newsletters to the community.

  HTML · 0 stars

• template-package

  A template repository to use for new projects.

  Python · 0 stars

• ohbm-2023-multiecho

  Multi-echo related content at OHBM 2023

  Jupyter Notebook · 0 stars

• ohbm-2026-multiecho

  Multi-echo related content at OHBM 2026

  Python · 0 stars