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Found 4 papers, 2 papers with code
Approximate Message Passing with a Colored Aliasing Model for Variable Density Fourier Sampled Images
Central to AMP is its "state evolution", which guarantees that the difference between the current estimate and ground truth (the "aliasing") at every iteration obeys a Gaussian distribution that can be fully characterized by a scalar.
An Approximate Message Passing Algorithm for Rapid Parameter-Free Compressed Sensing MRI
In response we present an algorithm based on Orthogonal AMP constructed specifically for variable density partial Fourier sensing matrices.
Learning a Probabilistic Model for Diffeomorphic Registration
Besides, we visualized the learned latent space and show that the encoded deformations can be used to transport deformations and to cluster diseases with a classification accuracy of 83% after applying a linear projection.
Ranked #1 on
Diffeomorphic Medical Image Registration
on Automatic Cardiac Diagnosis Challenge (ACDC)
(using extra training data)
Deformable Medical Image Registration
Diffeomorphic Medical Image Registration
+1
Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration
This model enables to also generate normal or pathological deformations of any new image based on the probabilistic latent space.
