NIH | National Cancer Institute | NCI Wiki  

Error rendering macro 'rw-search'

null

  • Created by Unknown User (bearceba), last modified on Oct 13, 2022

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 5 Next »

Google Analytics Report

Activities completed this month
  • 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.
Planned for next month
  • Federated Learning Challenge:
    • Finalize runs on MGH data and check in with team for any retrospective.
  • CodaLab (Open Source Team):
    • Continue working on GPU submissions with the compute worker.
    • Help get automated tests to pass maybe…stretch goal honestly.
    • Check in any code changes as needed to fix issues found.
  • Discuss Milo Fryling’s request to run another challenge similar to (https://medici-codalab-main.eastus.cloudapp.azure.com/competitions/23). Direct him to the google form (maybe not though. I don’t usually use it. I worry this is really just in the way and asks more questions than people really have answers to).
    • Jayashree is open now to running this on codabench at the same time as codalab.
  • Challenges Emily brought to the table (Meetings beginning in early Oct and they run roughly from Jan\Feb - May):
    • 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:
    • Data analysis needs to be done to identify cases we can use for challenge…ongoing.
    • Creating new iterations of annotation app to serve reviewers. I can elaborate if necessary but involves many new UI elements that end up as data points in the database.
MeetingDate
Bi-weekly Meeting #1

 

Bi-weekly Meeting #2

 

Bi-weekly Meeting #3

 



  • No labels