7 citations · 9 across the 3 of their papers we have counts for
4 papers
Towards reconstructing experimental sparse-view X-ray CT data with diffusion models
Nelas J. Thomsen, Xinyuan Wang, Felix Lucka +1
Diffusion-based image generators are promising priors for ill-posed inverse problems like sparse-view X-ray Computed Tomography (CT). As most studies consider synthetic data, it is…
Exploring Out-of-distribution Detection for Sparse-view Computed Tomography with Diffusion Models
Ezgi Demircan-Tureyen, Felix Lucka, Tristan van Leeuwen
Recent works demonstrate the effectiveness of diffusion models as unsupervised solvers for inverse imaging problems. Sparse-view computed tomography (CT) has greatly benefited from…
Nonlocal Adaptive Direction-Guided Structure Tensor Total Variation For Image Recovery
Ezgi Demircan-Tureyen, Mustafa E. Kamasak
A common strategy in variational image recovery is utilizing the nonlocal self-similarity (NSS) property, when designing energy functionals. One such contribution is nonlocal struc…
Adaptive Direction-Guided Structure Tensor Total Variation
Ezgi Demircan-Tureyen, Mustafa E. Kamasak
Direction-guided structure tensor total variation (DSTV) is a recently proposed regularization term that aims at increasing the sensitivity of the structure tensor total variation…