Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2023.3236155
Abstract: Most modern imaging systems incorporate a computational pipeline to infer the image of interest from acquired measurements. The Bayesian approach to solve such ill-posed inverse problems involves the characterization of the posterior distribution of the… read more here.
Keywords: generative priors; bayesian inversion; imaging models; deep generative ... See more keywords
Analytical Fresnel imaging models for photon sieves.
Sign Up to like & getrecommendations! Published in 2018 at "Optics express"
DOI: 10.1364/oe.26.032259
Abstract: Photon sieves are a fairly new class of diffractive lenses that open unprecedented possibilities for high resolution imaging and spectroscopy, especially at short wavelengths such as UV and x-rays. In this paper, we model and… read more here.
Keywords: diffractive lenses; optics; analytical fresnel; fresnel imaging ... See more keywords
Quantitative measurement of diffusion-weighted imaging signal using expression-controlled aquaporin-4 cells: Comparative study of 2-compartment and diffusion kurtosis imaging models
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0266465
Abstract: The purpose of this study was to compare parameter estimates for the 2-compartment and diffusion kurtosis imaging models obtained from diffusion-weighted imaging (DWI) of aquaporin-4 (AQP4) expression-controlled cells, and to look for biomarkers that indicate… read more here.
Keywords: compartment diffusion; imaging models; diffusion; diffusion kurtosis ... See more keywords