Navigation
index
next
previous
AFNI, SUMA and FATCAT: v21.0.12
»
10.
Tutorials, Examples
»
10.16.
Reface and Deface datasets
10.16.
Reface and Deface datasets
¶
10.16.1. 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. Educational resources
3. All program helps
4. Publication-based code examples
5. SUMA
6. FATCAT
7. Statistics
8. Templates & Atlases
9. Non-human processing
10. Tutorials, Examples
10.1.
Self Guided Demo Scripts
10.2.
AFNI GUI features
10.3.
AFNI general behavior
10.4.
APQC: afni_proc.py quality control
10.5.
FATCAT: DWI {Pre-pre-, Pre-, Post-pre}processing
10.6.
FATCAT Visualization
10.7.
Walnut Brain
10.8.
Drawing ROIs
10.9.
Cluster Explorer
10.10.
FATCAT Matrix Plot
10.11.
3dMVM Validator
10.12.
Automatic Images
10.13.
Sound features in AFNI
10.14.
Working with ROIs
10.15.
Using FreeSurfer
10.16.
Reface and Deface datasets
10.16.1. Using @afni_refacer_run
11. Demo Material
12. Developer Documentation
13. References, papers and citations
14. Contributors
15. Glossary
16. Main AFNI pages
This Page
Show Source
Quick search
«
hide menu
menu
sidebar
»