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http://spie-aapm-nci-dair.westus2.cloudapp.azure.com/competitions/4

Phase 2

https://spie-aapm-nci-dair.westus2.cloudapp.azure.com/competitions/6

1/4/2021

Here's a link for the Challenge description/rules/timeline:

https://www.dropbox.com/s/ciqqbal4xlxcn8x/DL-sparse-view-CT-challenge.docx?dl=0
Challenge Location: http://dl-sparse-view-ct-challenge.eastus.cloudapp.azure.com/

Related to AAPM Annual meeting in July

Name of ChallengeOrganization / MeetingMedici instance
used

Release
Training data

Release Validation dataRelease
Test data		Number of
Participants		Closing DateWill the challenge remain open?Comments

SPIE-AAPM-NCI DAIR Digital Breast Tomosynthesis Lesion Detection Challenge (DBTex)

 

1/15/2021

132 registrants

9 submissions

1/25/2021Challenge completed. The validation phase remains open.Deep-learning for inverse problems: sparse-view X-ray Computed Tomography image reconstruction

Emil Sidky (UChicago)

3/17/2021March 31, 2021May 17, 2021123 registrants5/31/2021

2021/04/01

In validation phase

Ben & Emil are testing

Data are on an FTP server.

Ben set up an Azure container to download the data for two participants.












Tasks / Deliverables


TaskDue DateDeliverableStatus

Support of Supporting at least new two challengesthree challenges including one federated learning challenge

8/30/2021

Reopen three previously executed challenges

  • process the results of new submissions
  • update the leaderboards
  • inform participants of their results
2022


Support organizers and participants (help desk, FAQ, training, presentations)

8/30/2022




8/30/2021
Maintain and update the website8/30/20212022


Capturing and providing metrics on the use of the MedICI website

8/30/2021

Investigate Google analytics plug-in - DONE (2021/04/01)

391 page views, 107 users over the last 12 months

2022


Capturing and providing metrics on the challenges

8/30/20212022


Investigate the use of MedICI for federated learning challenges

 

Report

https://docs.google.com/document/d/1v7Mz-diz8wSXzpdrGOGXwaDnZAOZ2t879frgTvzyt24/edit#heading=h.tqyuzeebfeoq

  • need to understand what is meant by "federated learning"
  • review report
  • have a discussion with Keyvan
  • determine if MedICI is suited for support of federated challenges
  • if yes, what needs to be done to make it suitable
  • find time for discussion during the week of November 15

Investigate the integration of MedICI with Kheops

 

Report

Presentation: NICC

The recordings are towards the bottom of the page.

URL: https://kheops.online/

Draft: https://docs.google.com/document/d/1c20ny4UNWw4BTXhdFPmc3o0YG00toOndbklXhc40Rqc/edit

The report was finalized on  


Support the deployment of MedICI in NCI cloud environments8/30/2021

App scan found vulnerabilities, Ben fixed them, app needs to be tested with test cases that are provided by Codalab, Ben needs to familiarize himself with the test suite. Codalab needs to be app scanned again.

Codalab can connect to various storage places: Azure, AWS, GCP

2021/04/15 - NCI is hardening security which makes deployment much harder. NCI VMs are not allowed to talk to cloud environments. Kevin is investigating workarounds. The goal is to run an app scan. 

Keyvan suggested trying a Codalab deployment on Google cloud outside of the NCI network. Keyvan will investigate.



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