https://github.com/sahahn/parc_scaling
In-depth analysis of the predictive performance of different surface parcellations with respect to structural MRI predicting different phenotypes in a large sample of adolescents from the ABCD study.
https://github.com/sahahn/parc_scaling
abcd machine-learning neuroimaging neuroscience python
Last synced: about 1 year ago
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In-depth analysis of the predictive performance of different surface parcellations with respect to structural MRI predicting different phenotypes in a large sample of adolescents from the ABCD study.
- Host: GitHub
- URL: https://github.com/sahahn/parc_scaling
- Owner: sahahn
- Created: 2020-10-22T14:58:31.000Z (almost 6 years ago)
- Default Branch: main
- Last Pushed: 2022-04-03T18:00:30.000Z (over 4 years ago)
- Last Synced: 2024-10-15T19:27:15.149Z (almost 2 years ago)
- Topics: abcd, machine-learning, neuroimaging, neuroscience, python
- Language: Jupyter Notebook
- Homepage: https://sahahn.github.io/parc_scaling/
- Size: 990 MB
- Stars: 6
- Watchers: 2
- Forks: 1
- Open Issues: 0