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  • 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

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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

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