Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Accelerated dynamic MRI using structured low rank matrix completion
Low-Rank Modeling of Local $k$-Space Neighborhoods (LORAKS) for Constrained MRI
R3MC: A Riemannian three-factor algorithm for low-rank matrix completion
Fast algorithms for recovering a corrupted low-rank matrix
A signal transformational framework for breaking the noise floor and its applications in MRI
Efficient matrix completion for seismic data reconstruction
Robust video denoising using low rank matrix completion
Reweighted Low-Rank Tensor Completion and its Applications in Video Recovery
Fast smooth rank approximation for tensor completion
Coarse-to-fine low-rank structure-from-motion
sparse mri : the application of compressed sensing for rapid mr imaging .
Compressed sensing electron tomography.
A Douglas–Rachford Splitting Approach to Compressed Sensing Image Recovery Using Low-Rank Regularization
QuickNAT: Segmenting MRI Neuroanatomy in 20 seconds
Reconstruction and Visualization of Fiber and Sheet Structure with Regularized Tensor Diffusion MRI in the Human Heart
LRTV: MR Image Super-Resolution With Low-Rank and Total Variation Regularizations
Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm
A method for standardizing MR intensities between slices and volumes
4D Flow MRI
Learning a variational network for reconstruction of accelerated MRI data
Image Restoration: From Sparse and Low-Rank Priors to Deep Priors [Lecture Notes]
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework
56-Gb/s Optical Transmission Performance of an InP HBT PAM4 Driver Compensating for Nonlinearity of Extinction Curve of EAM
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
Power Semiconductor Device Figure of Merit for High-Power-Density Converter Design Applications
An Evaluation of Trajectory Prediction Approaches and Notes on the TrajNet Benchmark