Author

Hassan Yazdanian

2 papers indexed here

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Preprint Oct 2026

Bayesian Joint Reconstruction and Uncertainty Quantification for Limited-Data Multi-Contrast X-Ray CT

Multi-contrast X-ray computed tomography (CT) combines attenuation contrast with phase and dark-field contrast, which are sensitive to refraction and ultra-small-angle scattering, respectively. Common implementations record several intensity measurements per projection angle by phase or mask stepping, which lengthens a...

H. Yazdanian, Henrik Mäkinen · 0 citations

Jul 2026

3D Uncertainty Quantification for the Photo-Acoustic Tomography

A finite-element Bayesian UQ framework for PAT is developed that naturally accommodates complex computational domains and detector geometries while enabling large-scale three-dimensional inference, and the resulting methodology extends naturally to a broad class of linear PDE-constrained inverse problems.

B. Afkham, A. Alghami, H. Yazdanian et al. · arXiv.org · 0 citations