2021 Call for Grand Challenge Proposals
The AAPM Working Group on Grand Challenges (WGGC) is charged with promoting the conduct of Grand Challenges designed to assess or improve the use of medical imaging in diagnostic and/or therapeutic applications. The WGGC is now accepting proposals from groups that wish to host a Challenge in advance of the 2022 Annual Meeting. The WGGC will identify up to two proposals that merit sponsorship and assist the organizing groups to move forward with the Challenges. The timeline for a proposed Challenge should allow for the conduct and conclusion of the Challenge in time for presentation at the 2022 Annual Meeting.
Please e-mail proposals to Emily Townley by 5:00 PM EDT on Friday, July 30, 2021.
Proposals should contain the following elements:
- Page 1:
- title of Challenge (including proposed nickname)
- name, institution, and contact information of each member of the organizing group
- proposed timeline (e.g., public announcement date, dataset release date(s), results submission date)
- Pages 2-3:
- statement of the unmet need that will be served by the Challenge
- assistance (logistical and/or financial) sought from WGGC
- background on the issue that the Challenge is meant to address (including literature review)
- source and numbers of cases for training/testing
- proposed Challenge hosting platform and proposed data hosting platform
- Challenge methodology and logistics, including parameters to be held fixed or to be “matched” across cases, reference standard, performance assessment metric(s), publication plan, plan for data persistence, and optional “prize” for winning group(s) [note that some of these challenge aspects might not be known to the organizers at the time of proposal submission, and other aspects might require input from the WGGC; please indicate which issues are unknown or require further consideration]
Download Proposal Application Template »
Considering organizing a Challenge?
- Challenge Organizer Guidance
- Questions? Contact: Emily Townley
Current Challenges
- Digital Breast Tomosynthesis Lesion Detection Challenge: Phase 2 (DBTex2)
- Deep Learning for Inverse Problems: Sparse-View X-Ray Computed Tomography image Reconstruction Challenge (DL-Sparse-View CT)
Previous Challenges
- Digital Breast Tomosynthesis Lesion Detection Challenge (DBTex)
- The MArkerless Lung Target Tracking CHallenge (MATCH)
- The Open Knowledge-Based Planning Challenge (OpenKBP)
- RT-MAC Challenge
- Computed Tomography Ventilation Imaging Evaluation 2019 (CTVIE19)
- PROSTATEx-2 Challenge
- Low Dose CT Grand Challenge