most citedSinogram Enhancement with Generative Adversarial Networks using Shape Priors

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

eess.IV2022

Data-Driven Interpolation for Super-Scarce X-Ray Computed Tomography

Emilien Valat, Katayoun Farrahi, Thomas Blumensath

We address the problem of reconstructing X-Ray tomographic images from scarce measurements by interpolating missing acquisitions using a self-supervised approach. To do so, we trai…

eess.IV2022★ 1 cited

Sinogram Enhancement with Generative Adversarial Networks using Shape Priors

Emilien Valat, Katayoun Farrahi, Thomas Blumensath

Compensating scarce measurements by inferring them from computational models is a way to address ill-posed inverse problems. We tackle Limited Angle Tomography by completing the se…