Segmentation on QUBIQ 16x Acceleration 2021
0.1009GEDInfoMRI
Evaluation results
| Method | Links | ||
|---|---|---|---|
| InfoMRISampling Patterns=Learned2026.04 | 0.1009 | 94.74 | |
| TackleSampling Patterns=Learned2026.04 | 0.1243 | 95.7 | |
| SemuNetSampling Patterns=Learned2026.04 | 0.1296 | 95.56 | |
| LOUPE-LI-NetSampling Patterns=Learned2026.04 | 0.1368 | 95.03 | |
| LI-NetSampling Patterns=Variable density2026.04 | 0.1585 | 94.66 | |
| LOUPE-UNet-RSSampling Patterns=Learned2026.04 | 0.2145 | 92.51 | |
| TradPat-UNet-RSSampling Patterns=Variable density2026.04 | 0.2324 | 91.71 | |
| LI-NetSampling Patterns=Poisson disk2026.04 | 0.2443 | 91.09 | |
| TradPat-UNet-RSSampling Patterns=Poisson disk2026.04 | 0.3124 | 89.03 | |
| LI-NetSampling Patterns=Uniform random2026.04 | 0.3601 | 87.37 | |
| TradPat-UNet-RSSampling Patterns=Uniform random2026.04 | 0.4265 | 85.66 |