Segmentation on QUBIQ 2x Acceleration 2021 (test)
0.094GEDInfoMRI
Evaluation results
| Method | Links | ||
|---|---|---|---|
| InfoMRISampling Pattern=Learned2026.04 | 0.094 | 95.57 | |
| TackleSampling Pattern=Learned2026.04 | 0.1104 | 96.18 | |
| LOUPE-UNet-RSSampling Pattern=Learned2026.04 | 0.115 | 96.09 | |
| SemuNetSampling Pattern=Learned2026.04 | 0.1176 | 95.65 | |
| LOUPE-LI-NetSampling Pattern=Learned2026.04 | 0.1187 | 95.68 | |
| TradPat-UNet-RSSampling Pattern=Poisson disk2026.04 | 0.119 | 95.72 | |
| TradPat-UNet-RSSampling Pattern=Variable density2026.04 | 0.13 | 95.29 | |
| LI-NetSampling Pattern=Poisson disk2026.04 | 0.1341 | 95.2 | |
| TradPat-UNet-RSSampling Pattern=Uniform random2026.04 | 0.1372 | 95.48 | |
| LI-NetSampling Pattern=Variable density2026.04 | 0.1411 | 95.1 | |
| LI-NetSampling Pattern=Uniform random2026.04 | 0.1688 | 93.93 |