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Benchmarks
Parallel Imaging Reconstruction on Anatomical OOD T2 (Cartesian, R=8, Rotated PE)
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35.92
PSNR
fully-learned filters and time conditioning (FLF+TC)
19.9976
24.1313
28.265
32.3987
May 11, 2026
PSNR
SSIM
NMSE (Scaled)
Updated 22d ago
Evaluation Results
Method
Method
Links
PSNR
SSIM
NMSE (Scaled)
fully-learned filters and time conditioning (FLF+TC)
Number of Parameters=7348
2026.05
35.92
93
0.58
fully-learned filters (FLF)
Number of Parameters=1760
2026.05
35.73
93
0.61
Total Variation (TV)
2026.05
35.01
92
0.72
Shearlet (SH)
Number of Parameters=1558
2026.05
34.55
92
0.79
Zero filled (ZF)
2026.05
26.53
74
5.3
Deep-JSense (DJS)
Number of Parameters=4...
2026.05
25.36
17
283.86
End-to-end variational network (VN)
Number of Parameters=3...
2026.05
20.61
49
13.35
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