Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Dynamic MRI reconstruction using low rank plus sparse tensor decomposition
MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
Fast smooth rank approximation for tensor completion
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction With Applications to Low-Dose X-Ray CT
Deep ADMM-Net for compressive sensing MRI
golden - angle radial sparse parallel mri : combination of compressed sensing , parallel imaging , and golden - angle radial sampling for fast and flexible dynamic volumetric mri .
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression
Continuous projection for fast L1 reconstruction
LRTV: MR Image Super-Resolution With Low-Rank and Total Variation Regularizations
Adaptive segmentation of MRI data
Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer.
Single-image super-resolution of brain MR images using overcomplete dictionaries
compressed sensing mri .
Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems
A Riemannian approach to trace norm regularized low-rank tensor completion
An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images
Compressed sensing electron tomography.
Deep convolutional neural networks for accelerated dynamic magnetic resonance imaging
Gradient-based low rank method and its application in image inpainting
Maximum Likelihood Reconstruction for Emission Tomography
Fall-prediction algorithm using a neural network for safety enhancement of elderly
Bug or Not? Bug Report Classification Using N-Gram IDF
distributed compressed sensing dror .
A physical implementation of the self-reconfiguring crystalline robot
Investigation of Compact Low Pass Filter with Sharp Cut – Off using Metamaterial