A joint MRI reconstruction method using product-of-Gaussian-mixture diffusion models for the image prior and smoothness priors for coil sensitivities, with an improved parameterization for better denoising and reconstruction.
Mathematical Methods in the Applied Sciences 30(12), 1437–1451 (2007)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Product-of-Gaussian-Mixture Diffusion Models for Joint Nonlinear MRI Reconstruction
A joint MRI reconstruction method using product-of-Gaussian-mixture diffusion models for the image prior and smoothness priors for coil sensitivities, with an improved parameterization for better denoising and reconstruction.