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Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction
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| Published in: | Brain Informatics |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867301676835143680 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Brain Informatics |
| description | |
| discipline_display | Psychiatry and Neurology |
| discipline_facet | Psychiatry and Neurology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:58935 |
| institution | FRELIP |
| journal_source_facet | Brain Informatics |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction Psychiatry and Neurology General Psychiatry and Neurology |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Psychiatry and Neurology General Psychiatry and Neurology Psychiatry and Neurology General Psychiatry and Neurology |
| subject_facet | Psychiatry and Neurology General Psychiatry and Neurology |
| title | Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction |
| title_auth | Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction |
| title_full | Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction |
| title_fullStr | Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction |
| title_full_unstemmed | Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction |
| title_short | Benchmarking resting state fMRI connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction |
| title_sort | benchmarking resting state fmri connectivity pipelines for classification: robust accuracy despite processing variability in cross-site eye state prediction |
| topic | Psychiatry and Neurology General Psychiatry and Neurology |
| url | https://link.springer.com/article/10.1186/s40708-026-00305-1 |