| Rank | Team Name | Model Name | DSC | RDSC | HD95 | TRE | RTRE | RTs | Score | Team Members |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Tiny v2 | UNet ROI Segmentation - Affine+Deformable ANTs | 0.862 | 0.885 | 3.666 | 2.450 | 1.667 | 0.687 | 0.827 | Wen Tang, Han Kang, Pengxin Yu, Chenhao Pei |
| 2 | Tiny | Two Stage UNet - Affine+ROI Seg -> Deformable | 0.830 | 0.879 | 5.910 | 1.857 | 0.667 | 1.857 | 0.797 | Wen Tang, Han Kang, Pengxin Yu, Chenhao Pei |
| 3 | Smile | Padding + ModeTv2 | 0.777 | 0.828 | 5.704 | 4.030 | 3.005 | 1.910 | 0.481 | Haiqiao Wang, Yi Wang |
| 4 | MVL | LocalNet + Focal Tversky Loss | 0.702 | 0.751 | 4.253 | 2.370 | 1.853 | 1.152 | 0.469 | Byungwoo Kim, Daseul Park, Changwoo Lee |
| 5 | Baseline | LocalNet (Not Fully Converged) | 0.553 | 0.632 | 11.631 | 7.654 | 5.805 | 4.256 | 0.425 | |
| 6 | Baseline | VoxelMorph (Not Fully Converged) | 0.352 | 0.431 | 13.131 | 10.727 | 8.898 | 7.375 | 0.210 |
Note: All values are rounded to 3 decimal places.
Note: Any submissions with additional data are noted with an * following the team name.