27 citations · 45 across the 8 of their papers we have counts for
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eess.IV2020★ 27 cited
An Unsupervised Reconstruction Method For Low-Dose CT Using Deep Generative Regularization Prior
Mehmet Ozan Unal, Metin Ertas, Isa Yildirim
Low-dose CT imaging requires reconstruction from noisy indirect measurements which can be defined as an ill-posed linear inverse problem. In addition to conventional FBP method in…
eess.IV2020★ 15 cited
Self-Supervised Training For Low Dose CT Reconstruction
Mehmet Ozan Unal, Metin Ertas, Isa Yildirim
Ionizing radiation has been the biggest concern in CT imaging. To reduce the dose level without compromising the image quality, low-dose CT reconstruction has been offered with the…