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Age Estimation Summary

Age Estimation Summary. JoJo 2013.1.11. Age Estimation Summary. Idea Meeting MICCAI MLMI Journal Conclusion. Idea. Surface-based features are more sensitive to VBM in age estimation Franke , (2010), NeuroImage. Meeting (MICCAI). Meeting (MICCAI). Work time: 2.4 – 3.1

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Age Estimation Summary

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  1. Age Estimation Summary JoJo 2013.1.11

  2. Age Estimation Summary • Idea • Meeting • MICCAI • MLMI • Journal • Conclusion

  3. Idea • Surface-based features are more sensitive to VBM in age estimation • Franke, (2010), NeuroImage

  4. Meeting (MICCAI)

  5. Meeting (MICCAI) • Work time: 2.4 – 3.1 • Work details: subject choose, data processing, learn toolbox, code, experiments, paper • Mistakes: • ML code • Time & paper writing Reject！（April 15）

  6. Meeting (MLMI) • SPIE(abstract 7.30deadline) MLMI (6.17 deadline 7.6 result) • Great progress: pick up right subjects

  7. Meeting (MLMI) • What I learned: Follow the information about our area Communication Paper writing(Logic)

  8. Journal • Brown, (2012.8), Current Biology (Leemon) • Experiment results are good.

  9. Journal • Extend: (Analyze the pattern we find) 1 Dimension

  10. Journal • Extend: (Analyze the pattern we find) 2 Why surface area is not included in the pattern

  11. Journal • Extend: (Analyze the pattern we find) 3 Reliability of the pattern

  12. Journal • Extend: (Analyze the pattern we find) 4 Application of the pattern

  13. Journal • What I learned: Record what you do everyday. Experiments is different from paper writing. Figure is very important. How to plot? Paper must be revised over and over. Logic Follow new work Relevant paper reading and summary Time

  14. Journal

  15. Journal

  16. Conclusion • Achieve my goal • Time-consuming

  17. Thank you!!

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