computer-vision-12
MRI Reconstruction
3260 papers • 126 benchmarks • 313 datasets
In its most basic form, MRI reconstruction consists in retrieving a complex-valued image from its under-sampled Fourier coefficients. Besides, it can be addressed as a encoder-decoder task, in which the normative model in the latent space will only capture the relevant information without noise or corruptions. Then, we decode the latent space in order to have a reconstructed MRI.
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Benchmarks
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fastMRI Knee 8x
fastMRI Knee 8x
fastMRI Knee Val 8x
fastMRI Knee Val 8x
fastMRI Knee 4x
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iUse these libraries to find mri-reconstruction-11 models and implementations
4 papers 1,237
