• MIDRC - The challenge has ended and there were 4 finalists
• Test phase: 4 participants
• Validation phase: 7 participants
• We have algorithm descriptions
• CodaLab (Open Source Team):
  • TACTIC: https://codabench-test.lri.fr/competitions/91/
  • DGM: https://codabench-test.lri.fr/competitions/92/
• GPU submissions work
• I have 2 challenges launched preliminarily on codabench:

• • Federated learning challenge:
    • We still need to run the final two participant submissions but that will have to wait till November.
  • Image Comparator App:
    • Finished adding authentication to the app. Users can sign up and be signed in, log in and log out

• Federated Learning Challenge: 
  • Finalize runs on MGH data and check in with team for any retrospective. 
• Codalab\Codabench (Open Source Team): 
  • Working on a bug with the manual competition creator
• Challenges Emily brought to the table (Meetings beginning in early Oct and they run roughly from Jan\Feb - May):
  • I still need to review a bit more but essentially they will have their own custom leaderboard and we will pre-build docker images for them to make sure they build fine
  • Then we will scp the images to their computers for analysis.
  • I finished understanding challenge details and am making the scoring program
  • 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:
  • Not sure if we have more plans yet but I think there will be new challenge ideas

13 Oct 2022 

27 Oct 2022