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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…