Segmentation on BRISC 2025
0.4993GEDInfoMRI
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| InfoMRISampling Patterns=Learned, Acceleration=8x2026.04 | 0.4993 | 78.67 | |
| InfoMRISampling Patterns=Learned, Acceleration=16x2026.04 | 0.5254 | 76.49 | |
| SemuNetSampling Patterns=Learned, Acceleration=8x2026.04 | 0.5349 | 81.41 | |
| LOUPESampling Patterns=Learned, Acceleration=8x2026.04 | 0.5433 | 80.91 | |
| InfoMRISampling Patterns=Learned, Acceleration=24x2026.04 | 0.5507 | 74.72 | |
| InfoMRISampling Patterns=Learned, Acceleration=32x2026.04 | 0.5677 | 72.8 | |
| TackleSampling Patterns=Learned, Acceleration=8x2026.04 | 0.6024 | 78.44 | |
| TradPat-UNet-RSSampling Patterns=Variable density, Acceleration=8x2026.04 | 0.6085 | 78.16 | |
| LOUPESampling Patterns=Learned, Acceleration=16x2026.04 | 0.6349 | 77.33 | |
| LOUPE-LI-NetSampling Patterns=Learned, Acceleration=8x2026.04 | 0.6473 | 77.35 | |
| SemuNetSampling Patterns=Learned, Acceleration=16x2026.04 | 0.6562 | 76.38 | |
| LOUPE-LI-NetSampling Patterns=Learned, Acceleration=16x2026.04 | 0.7185 | 73.89 | |
| SemuNetSampling Patterns=Learned, Acceleration=24x2026.04 | 0.7283 | 73.36 | |
| LOUPESampling Patterns=Learned, Acceleration=24x2026.04 | 0.729 | 73.19 | |
| TackleSampling Patterns=Learned, Acceleration=16x2026.04 | 0.7303 | 72.8 | |
| TradPat-UNet-RSSampling Patterns=Variable density, Acceleration=16x2026.04 | 0.7307 | 72.99 | |
| LI-NetSampling Patterns=Variable density, Acceleration=8x2026.04 | 0.7374 | 72.84 | |
| TradPat-UNet-RSSampling Patterns=Poisson disk, Acceleration=8x2026.04 | 0.7598 | 70.99 | |
| SemuNetSampling Patterns=Learned, Acceleration=32x2026.04 | 0.7881 | 70.71 | |
| LOUPE-LI-NetSampling Patterns=Learned, Acceleration=24x2026.04 | 0.7933 | 70.53 | |
| TackleSampling Patterns=Learned, Acceleration=24x2026.04 | 0.8298 | 68.39 | |
| TradPat-UNet-RSSampling Patterns=Variable density, Acceleration=24x2026.04 | 0.8449 | 67.7 | |
| LOUPESampling Patterns=Learned, Acceleration=32x2026.04 | 0.8583 | 66.8 | |
| LI-NetSampling Patterns=Variable density, Acceleration=16x2026.04 | 0.859 | 66.56 | |
| LI-NetSampling Patterns=Poisson disk, Acceleration=8x2026.04 | 0.9039 | 64.05 | |
| TackleSampling Patterns=Learned, Acceleration=32x2026.04 | 0.9103 | 64.41 | |
| TradPat-UNet-RSSampling Patterns=Uniform random, Acceleration=8x2026.04 | 0.9109 | 64.23 | |
| LOUPE-LI-NetSampling Patterns=Learned, Acceleration=32x2026.04 | 0.929 | 63.33 | |
| TradPat-UNet-RSSampling Patterns=Variable density, Acceleration=32x2026.04 | 0.9354 | 63 | |
| TradPat-UNet-RSSampling Patterns=Poisson disk, Acceleration=16x2026.04 | 0.939 | 62.37 | |
| LI-NetSampling Patterns=Variable density, Acceleration=24x2026.04 | 0.9584 | 61.64 | |
| LI-NetSampling Patterns=Variable density, Acceleration=32x2026.04 | 1.0332 | 57.85 | |
| LI-NetSampling Patterns=Uniform random, Acceleration=8x2026.04 | 1.0508 | 57.93 | |
| LI-NetSampling Patterns=Poisson disk, Acceleration=16x2026.04 | 1.058 | 56.44 | |
| TradPat-UNet-RSSampling Patterns=Uniform random, Acceleration=16x2026.04 | 1.1624 | 51.32 | |
| TradPat-UNet-RSSampling Patterns=Poisson disk, Acceleration=24x2026.04 | 1.1742 | 50.18 | |
| TradPat-UNet-RSSampling Patterns=Poisson disk, Acceleration=32x2026.04 | 1.189 | 49.56 | |
| LI-NetSampling Patterns=Uniform random, Acceleration=16x2026.04 | 1.2417 | 47.83 | |
| LI-NetSampling Patterns=Poisson disk, Acceleration=24x2026.04 | 1.2976 | 43.47 | |
| LI-NetSampling Patterns=Poisson disk, Acceleration=32x2026.04 | 1.3174 | 42.47 | |
| TradPat-UNet-RSSampling Patterns=Uniform random, Acceleration=24x2026.04 | 1.4424 | 36.12 | |
| LI-NetSampling Patterns=Uniform random, Acceleration=24x2026.04 | 1.4856 | 34.09 | |
| TradPat-UNet-RSSampling Patterns=Uniform random, Acceleration=32x2026.04 | 1.5017 | 32.63 | |
| LI-NetSampling Patterns=Uniform random, Acceleration=32x2026.04 | 1.5214 | 32.04 |