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Accelerating MR Parameter Mapping Using Nonlinear Compressive Manifold Learning and Regularized Pre-Imaging.
Yihang Zhou
Haifeng Wang
Yuanyuan Liu
Dong Liang
Leslie Ying
Published in:
IEEE Trans. Biomed. Eng. (2022)
Keyphrases
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manifold learning
nonlinear manifold learning
nonlinear manifold
low dimensional
principal curves
low dimensional manifolds
dimensionality reduction
feature mapping
high dimensional feature space
nonlinear dimensionality reduction
manifold embedding
embedding space
semi supervised
high dimensional
image processing
sparse representation
laplacian eigenmaps
high resolution
subspace learning
dimension reduction
latent space
diffusion maps
high dimensional data
feature extraction
manifold learning algorithm
head pose estimation
random projections
image data
underlying manifold
parameter space
image registration
feature space
manifold structure
locally linear embedding
input space
medical images
medical imaging
feature selection
data points
intrinsic dimensionality
least squares
principal component analysis
riemannian manifolds