A Fourier neural operator with Laplacian eigenvector priors and a super-resolution front end upsamples synthetic 4D blood flow data better than interpolation and baseline networks.
Acta Mechanica Sinica37(12), 1727–1738 (2021)
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Localized FNO for Spatiotemporal Hemodynamic Upsampling in Aneurysm MRI
A Fourier neural operator with Laplacian eigenvector priors and a super-resolution front end upsamples synthetic 4D blood flow data better than interpolation and baseline networks.