Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Learning-Based Compressive MRI
Compressed sensing
CS168: The Modern Algorithmic Toolbox Lecture #17: Compressive Sensing
Lossless Compression of Medical Images Using Hilbert Space-Filling Curves
COMPRESSED SENSING IMAGE RECONSTRUCTION VIA RECURSIVE SPATIALLY ADAPTIVE FILTERING
Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems
An approximate L0 norm minimization algorithm for compressed sensing
Variable-Density Single-Shot Fast Spin-Echo MRI with Deep Learning Reconstruction by Using Variational Networks
Deep Fully-Connected Networks for Video Compressive Sensing
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography
Efficient and Robust Compressed Sensing Using Optimized Expander Graphs
Practical Full Resolution Learned Lossless Image Compression
Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features
Learned Experts' Assessment-based Reconstruction Network ("LEARN") for Sparse-data CT
A New Similarity Measure for Non-Local Means Filtering of MRI Images
HAMLET: Hierarchical Harmonic Filters for Learning Tracts from Diffusion MRI
Optimized ProjectionMatrix for Compressive Sensing
Generative Adversarial Networks for Extreme Learned Image Compression
Compressive imaging for video representation and coding
A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications
Adaptive segmentation of MRI data
A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts
Model Based Experimental Determination of Moisture Content in Oil-Paper Insulation System Using FDS Technique
Interactive Editing of GigaSample Terrain Fields
Aging out of crime: exploring the relationship between age and crime with agent based modeling
A generalized uncertainty principle and sparse representation in pairs of bases