2022-09 Monthly Status Reportt

• CodaLab (Open Source Team):
  • We got the GPU worker working. I had deployed one temporarily and the Codalab team also created one and got it to work!
  • Automated tests now pass! (https://github.com/codalab/codabench)
  • Check in any code changes as needed to fix issues found. We are moving into a phase where we are getting users to use Codabench. 
    • FAIR UNIVERSE – A group of people organizing competitions. This is good practice for testing Codabench.
• Met with below groups on future directions of their challenges (we meet again in two-three weeks to check progress):
  • DGM-Image Statistics challenge: Deep Generative Modeling for Learning Medical Image Statistic
  • TACTIC: Understanding Time-Activity Curve and Time-Integrated Activity Variations in Radiopharmaceutical Therapy Challenge
• MIDRC:
  • Challenge is going well. 4-5 active users making sample submissions out of 35.

• Federated Learning Challenge:
  • Finalize runs on MGH data and check in with team for any retrospective.
• CodaLab (Open Source Team):
  • Reviewing a teammate's code.
  • Next step is to fix a competition creation bug where organizers can make challenges using the UI.
• MIDRC:
  • Validation phase is beginning and we will see what that brings
• Image Annotion App updates:
  • Adding the concept of users
  • Creating a cleaned up image upload, app image list creation and task creation functionality set tied to the user.
  • More updates to come including:
    
    • easy to use tools creation interface or functionality
    • possible integration with OHIF
    • MonaiLabel integration for better segmentation control.
    • updated bootstrap (style)

01 Sep 2022 

15 Sep 2022 

29 Sep 2022