Meeting Notes -Melanie-Prof Rueckert 22.07.2022

Agenda

Data / Visualization framework in Python
- API framework/usage guidelines
- input format
- output format
- Gui to inspect the data.
  - Original Data view
  - subsection view (using the rotated and subselected image parts).
  - Slider to adjust the time.
  - Play function.
  - Replay speed adjustment.
  - Basic statistics of the shown data (e.g. histogramms of the two images, min, max, mean, boxplots, number of blobs [1], …).
Symmetry measurements
- Develop measures and visualization tools to detect asymmetries between the two images.
- Find examples of such asymmetries.
- Analyze them.
Occlusion removal
- Classical CV approach
- Learning-based approach(De-Occlusion)
Abnormality detection
Thesis writing

Deliverables due to September

use pandas dataframe library

Deliverables due to October:

Develop automatic detection methods and selection tools for your guidance
- e.g., highlight these events in your time-line in the gui with red bars, or create a list of events that can be selected

Concerned about its appicability to this project. we cannot assume it will work with non-face data

If we don’t know the dynamics of the liquid we cannot reconstruct maintaining the true underlying information.

due to November

https://arxiv.org/pdf/1612.08534.pdf

https://github.com/zhaofang0627/face-deocc-lstm