Segmentation on QUBIQ 32x Acceleration 2021
0.1142GEDInfoMRI
Evaluation results
| Method | Links | ||
|---|---|---|---|
| InfoMRISampling Patterns=Learned2026.04 | 0.1142 | 94.29 | |
| LI-NetSampling Patterns=Variable density2026.04 | 0.2161 | 92.6 | |
| TackleSampling Patterns=Learned2026.04 | 0.2216 | 92.43 | |
| LOUPE-LI-NetSampling Patterns=Learned2026.04 | 0.2306 | 92.1 | |
| SemuNetSampling Patterns=Learned2026.04 | 0.2549 | 91.31 | |
| TradPat-UNet-RSSampling Patterns=Variable density2026.04 | 0.3008 | 89.79 | |
| LOUPE-UNet-RSSampling Patterns=Learned2026.04 | 0.3458 | 86.96 | |
| LI-NetSampling Patterns=Poisson disk2026.04 | 0.3871 | 85.9 | |
| LI-NetSampling Patterns=Uniform random2026.04 | 0.4872 | 82.63 | |
| TradPat-UNet-RSSampling Patterns=Poisson disk2026.04 | 0.5226 | 81.29 | |
| TradPat-UNet-RSSampling Patterns=Uniform random2026.04 | 0.7685 | 70.39 |