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AFNI, SUMA and FATCAT: v24.3.03
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12.
Tutorials, Examples
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12.16.
Reface and Deface datasets
12.16.
Reface and Deface datasets
¶
12.16.1. Using @afni_refacer_run
Introduction
Example 1: All modes at once
Example 2: Reface mode
Example 3: Note on other modes
Table of Contents
1. Installation and Background
2. Starting with AFNI
3. Educational resources
4. All program helps
5. AFNI GUI (afni)
6. SUMA GUI (suma)
7. FATCAT
8. NIFTI
9. Statistics
10. Templates & Atlases
11. Non-human processing
12. Tutorials, Examples
12.1.
Self Guided Demo Scripts
12.2.
AFNI GUI features
12.3.
AFNI general behavior
12.4.
APQC: afni_proc.py quality control
12.5.
FATCAT: DWI {Pre-pre-, Pre-, Post-pre}processing
12.6.
FATCAT Visualization
12.7.
Walnut Brain
12.8.
Drawing ROIs
12.9.
Cluster Explorer
12.10.
FATCAT Matrix Plot
12.11.
3dMVM Validator
12.12.
Automatic Images
12.13.
Sound features in AFNI
12.14.
Working with ROIs
12.15.
Using FreeSurfer
12.16.
Reface and Deface datasets
12.16.1. Using @afni_refacer_run
12.17.
SurfLayers Demo
12.18.
Meta analysis examples
13. Demo Material
14. Codex: AFNI Code Examples from publications
15. Citations and Reference Works
16. Developer Documentation
17. Contributors
18. Glossary
19. Main AFNI pages
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