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.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
FuXi-TC combines the FuXi global DL model with a diffusion generative framework to downscale and improve TC intensity and precipitation forecasts, matching ECMWF skill while being faster and generalizing zero-shot to North Atlantic hurricanes.
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.
-
FuXi-TC: A generative framework integrating deep learning and physics-based models for improved tropical cyclone forecasts
FuXi-TC combines the FuXi global DL model with a diffusion generative framework to downscale and improve TC intensity and precipitation forecasts, matching ECMWF skill while being faster and generalizing zero-shot to North Atlantic hurricanes.