Following are the final leaderboards for this year's challenge (as shared during the challenge presentation) for each category. For C1, the performance of winning algorithms from previous 2 years is also shown when evaluated on this year's test set (also shown on the leaderboard for C1).
Category 1:
Based on this leaderboard, we did not have any team perform better than winning algorithms from 2022 and 2023. Hence, none of the teams were eligible for cash prizes for this category. Regardless, we congratulate the following top 3 teams for this category in 2024:
- PDMYR (Jie Tian)
- InspireLab (Khang Nguyen Hoang, Tam Minh Nguyen, Nhat Minh Nguyen Dang, Khoi Tran Dinh, Anh Nguyen Quoc, Kiet Nguyen Anh, Doan Trinh Pham Thi )
- MULTIS (Chunyang Jiang, Dewei Yang, Xinran Jiang )
Category 2:
Following are the top 3 teams (along with corresponding cash prizes) for this year's category 2 - congratulations to all!
- PDMYR (Jie Tian) - Winner of $3000
- SurgOpTeam (Thibaut Boissin, Yannick Prudent) - Winner of $2000
- TeamBCU (Muhammad Bilal, Mahmood Alam, Shazad Ashraf, Andrew D. Beggs, Taofeek Akinosho, Anuoluwapo Ajayi, Adnan Qayyum, Lukman Akanbi, Manuel D. Delgado, Narain Gupta, Amir M. Hajiyavand, Iqbal Qasim, Hafiz A. Alaka, and Junaid Qadir ) - Winner of $1000
Best methodology report award:¶
We had a draw amongst 2 teams for this award for C1 so there were two winners for C1 ($500 each), while C2 only had one winner. Congratulations to all the winners in this category!
Category 1 best methodology report winners:
- PDMYR (Jie Tian, Haoxu Wang) - Winner of $500
- InspireLab (Khang Nguyen Hoang, Tam Minh Nguyen, Nhat Minh Nguyen Dang, Khoi Tran Dinh, Anh Nguyen Quoc, Kiet Nguyen Anh, Doan Trinh Pham Thi) - Winner of $500
Category 2 best methodology report winner:
- SurgOpTeam (Thibaut Boissin, Yannick Prudent) - Winner of $500
Congratulations to the winning teams - we will get in touch soon regarding making prize money transfer arrangements! We will also contact the participating teams for the joint publication in the near future.