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Models/XPDNet

XPDNet

Reported on 16 benchmarks across 2 tasks · 1 paper · 8 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical16 results

Image ReconstructiononfastMRI Knee 4x
PSNR· 2020-10-15
40.2
SOTA
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
Image ReconstructiononfastMRI Knee 8x
PSNR· 2020-10-15
37.2
best: 37.3 (HUMUS-Net (train+val data))
SOTA
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
Image ReconstructiononfastMRI Brain 4x
PSNR· 2020-10-15
41.3
SOTA
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
Image ReconstructiononfastMRI Brain 8x
PSNR· 2020-10-15
38.1
SOTA
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
MRI ReconstructiononfastMRI Knee 4x
PSNR· 2020-10-15
40.2
SOTA
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
MRI ReconstructiononfastMRI Knee 8x
PSNR· 2020-10-15
37.2
best: 37.3 (HUMUS-Net (train+val data))
SOTA
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
MRI ReconstructiononfastMRI Brain 4x
PSNR· 2020-10-15
41.3
SOTA
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
MRI ReconstructiononfastMRI Brain 8x
PSNR· 2020-10-15
38.1
SOTA
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
Image ReconstructiononfastMRI Knee 4x
SSIM· 2020-10-15
0.9287
best: 0.93 (End-to-end variational network)
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
Image ReconstructiononfastMRI Knee 8x
SSIM· 2020-10-15
0.8893
best: 0.8945 (HUMUS-Net (train+val data))
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
Image ReconstructiononfastMRI Brain 4x
SSIM· 2020-10-15
0.9581
best: 0.959 (End-to-end variational network)
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
Image ReconstructiononfastMRI Brain 8x
SSIM· 2020-10-15
0.9408
best: 0.943 (End-to-end variational network)
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
MRI ReconstructiononfastMRI Knee 4x
SSIM· 2020-10-15
0.9287
best: 0.93 (End-to-end variational network)
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
MRI ReconstructiononfastMRI Knee 8x
SSIM· 2020-10-15
0.8893
best: 0.8945 (HUMUS-Net (train+val data))
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
MRI ReconstructiononfastMRI Brain 4x
SSIM· 2020-10-15
0.9581
best: 0.959 (End-to-end variational network)
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290
MRI ReconstructiononfastMRI Brain 8x
SSIM· 2020-10-15
0.9408
best: 0.943 (End-to-end variational network)
XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge arXiv:2010.07290