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.
Stochastic Processes and their Applications12(3), 313–326 (1982)
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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.
- Generative structure search for efficient and diverse discovery of molecular and crystal structures