User:Jadrian Miles/OKRs

Today's Date: 12/10

• Meta-objective: make measurable progress toward the dissertation.
  • Key result: curve-clustering / macrostructure-initialization chapter is complete by 04/27.
  • Key result: chapter outline for the first-pass "real" problem is complete by 04/27.
    • Neither of these got done this semester.
• Meta-objective: concretely demonstrate the success of the real-problem technique.
  1. Demonstrate (by pictures) specific challenging regions in which the multi-scale approach reconstructs structures better than two competitors.
  2. Demonstrate (numerically) that image reconstruction, as measured by chi-squared goodness-of-fit on real data, is better than two competitors.
  3. Demonstrate (in prose, or maybe with a quick user study) that selection tasks for specific brain structures are easier and more precise than with ROI+tractography methods.
• Objective: Write and submit the tract noise paper in a timely manner.
  • Key result: Experiments 1 & 2, plus analysis and figures, are finished by 06/19.
  • Key result: Experiment 3 is finished within two weeks of the IIT data posting online.
  • Key result: Complete first draft to dhl within a week of finishing experiment 3.
  • Key result: Paper submitted to MRM by end of August.
• Objective: Design and evaluate a curve-bundle model.
  • Key result: Something to do with curve clustering.