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AFNI, SUMA and FATCAT: v23.0.07
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11.
Tutorials, Examples
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11.16.
Reface and Deface datasets
11.16.
Reface and Deface datasets
¶
11.16.1. 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 (and afni)
6. SUMA
7. FATCAT
8. Statistics
9. Templates & Atlases
10. Non-human processing
11. Tutorials, Examples
11.1.
Self Guided Demo Scripts
11.2.
AFNI GUI features
11.3.
AFNI general behavior
11.4.
APQC: afni_proc.py quality control
11.5.
FATCAT: DWI {Pre-pre-, Pre-, Post-pre}processing
11.6.
FATCAT Visualization
11.7.
Walnut Brain
11.8.
Drawing ROIs
11.9.
Cluster Explorer
11.10.
FATCAT Matrix Plot
11.11.
3dMVM Validator
11.12.
Automatic Images
11.13.
Sound features in AFNI
11.14.
Working with ROIs
11.15.
Using FreeSurfer
11.16.
Reface and Deface datasets
11.16.1. Using @afni_refacer_run
11.17.
SurfLayers Demo
11.18.
Meta analysis examples
12. Demo Material
13. AFNI Codex: Code Examples from publications
14. Citing
15. Developer Documentation
16. Contributors
17. Glossary
18. Main AFNI pages
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