Multi-contrast MRI Reconstruction on Brats 2018 (test)
58.46PSNRJUF-MRI
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| JUF-MRIMask generation method=Learned2026.01 | 58.46 | 0.9996 | 0.31 | |
| JUF-MRIMask generation method=Learned, Sampling strategy=LOUPE2026.01 | 56.89 | 0.9995 | 0.38 | |
| MC-DuDoNMask generation method=Learned, Sampling strategy=LOUPE2026.01 | 51.06 | 0.998 | 0.74 | |
| JUF-MRIMask generation method=Learned2026.01 | 48.49 | 0.9966 | 1.01 | |
| JUF-MRIMask generation method=Learned, Sampling strategy=LOUPE2026.01 | 48.4 | 0.9961 | 1.01 | |
| MC-DuDoNMask generation method=Learned, Sampling strategy=LOUPE2026.01 | 46.61 | 0.9944 | 1.23 | |
| JUF-MRIMask generation method=Learned2026.01 | 46.42 | 0.9951 | 1.28 | |
| JUF-MRIMask generation method=Equispaced2026.01 | 46.05 | 0.9945 | 1.32 | |
| JUF-MRIMask generation method=Learned, Sampling strategy=LOUPE2026.01 | 46.03 | 0.994 | 1.33 | |
| MC-DuDoNMask generation method=Learned, Sampling strategy=LOUPE2026.01 | 44.99 | 0.9928 | 1.48 | |
| MC-DuDoNMask generation method=Equispaced2026.01 | 44.79 | 0.9927 | 1.52 | |
| VANetMask generation method=Equispaced2026.01 | 41.01 | 0.9842 | 2.33 | |
| JUF-MRIMask generation method=Learned2026.01 | 40.39 | 0.9849 | 2.52 | |
| JUF-MRIMask generation method=Learned, Sampling strategy=LOUPE2026.01 | 39.8 | 0.9816 | 2.69 | |
| MC-DuDoNMask generation method=Equispaced2026.01 | 39.29 | 0.9796 | 2.85 | |
| JUF-MRIMask generation method=Equispaced2026.01 | 39.12 | 0.9785 | 2.9 | |
| RestormerMask generation method=Equispaced2026.01 | 38.72 | 0.975 | 3.04 | |
| MC-DuDoNMask generation method=Equispaced2026.01 | 38.29 | 0.9752 | 3.2 | |
| JUF-MRIMask generation method=Equispaced2026.01 | 37.83 | 0.9737 | 3.36 | |
| MDUNetMask generation method=Equispaced2026.01 | 37.5 | 0.9709 | 3.47 | |
| CUNetMask generation method=Equispaced2026.01 | 36.63 | 0.9648 | 3.84 | |
| Multi-UNetMask generation method=Equispaced2026.01 | 36.62 | 0.9661 | 3.84 | |
| MC-DuDoNMask generation method=Learned, Sampling strategy=LOUPE2026.01 | 36.6 | 0.9678 | 3.86 | |
| VANetMask generation method=Equispaced2026.01 | 36.55 | 0.9673 | 3.88 | |
| RestormerMask generation method=Equispaced2026.01 | 35.22 | 0.9584 | 4.54 | |
| VANetMask generation method=Equispaced2026.01 | 35 | 0.9585 | 4.64 | |
| UNetMask generation method=Equispaced2026.01 | 34.97 | 0.9506 | 4.64 | |
| MDUNetMask generation method=Equispaced2026.01 | 34.59 | 0.9565 | 4.85 | |
| RestormerMask generation method=Equispaced2026.01 | 34.38 | 0.9547 | 5 | |
| MDUNetMask generation method=Equispaced2026.01 | 33.95 | 0.9526 | 5.22 | |
| CUNetMask generation method=Equispaced2026.01 | 33.41 | 0.947 | 5.54 | |
| JUF-MRIMask generation method=Equispaced2026.01 | 33.15 | 0.9493 | 5.78 | |
| MC-DuDoNMask generation method=Equispaced2026.01 | 33.07 | 0.9481 | 5.84 | |
| Multi-UNetMask generation method=Equispaced2026.01 | 32.85 | 0.9444 | 5.91 | |
| CUNetMask generation method=Equispaced2026.01 | 32.75 | 0.9425 | 5.98 | |
| Multi-UNetMask generation method=Equispaced2026.01 | 32.06 | 0.9401 | 6.48 | |
| VANetMask generation method=Equispaced2026.01 | 32.02 | 0.9399 | 6.54 | |
| RestormerMask generation method=Equispaced2026.01 | 31.81 | 0.9385 | 6.73 | |
| MDUNetMask generation method=Equispaced2026.01 | 31.66 | 0.9389 | 6.83 | |
| UNetMask generation method=Equispaced2026.01 | 30.27 | 0.902 | 7.98 | |
| CUNetMask generation method=Equispaced2026.01 | 30.15 | 0.9244 | 8.07 | |
| Multi-UNetMask generation method=Equispaced2026.01 | 30.11 | 0.9237 | 8.13 | |
| UNetMask generation method=Equispaced2026.01 | 28.93 | 0.8862 | 9.32 | |
| Zero-Filled (ZF)Mask generation method=Equispaced2026.01 | 28.34 | 0.608 | 9.93 | |
| UNetMask generation method=Equispaced2026.01 | 25.03 | 0.8129 | 14.58 | |
| Zero-Filled (ZF)Mask generation method=Equispaced2026.01 | 24.87 | 0.5308 | 14.79 | |
| Zero-Filled (ZF)Mask generation method=Equispaced2026.01 | 24.05 | 0.5139 | 16.25 | |
| Zero-Filled (ZF)Mask generation method=Equispaced2026.01 | 22.17 | 0.4634 | 20.15 |