Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Accelerating CT Iterative Reconstruction Using ADMM and Nesterov ’ s Methods
a fast iterative shrinkage - thresholding algorithm for linear inverse problems .
A Douglas–Rachford Splitting Approach to Compressed Sensing Image Recovery Using Low-Rank Regularization
Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods
Suppression of Metal Artifacts in CT Using a Reconstruction Procedure That Combines MAP and Projection Completion
Super resolution in CT
Fast Count-Regulated OSEM Reconstruction With Adaptive Resolution Recovery
Low-dose CT denoising with convolutional neural network
Wavelet Domain Residual Network (WavResNet) for Low-Dose X-ray CT Reconstruction
Choosing regularization parameters in iterative methods for ill-posed problems
DART: A Practical Reconstruction Algorithm for Discrete Tomography
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
Maximum Likelihood Reconstruction for Emission Tomography
Efficient Nonsmooth Nonconvex Optimization for Image Restoration and Segmentation
Recent Developments in Total Variation Image Restoration
TR 0707 A Fixed-Point Continuation Method for ` 1-Regularized Minimization with Applications to Compressed Sensing
An Augmented Lagrangian Method for Complex-Valued Compressed SAR Imaging
ISWLS: Novel Algorithm for Image Reconstruction in PET
Low-Complexity Iterative Algorithms for (Discrete) Compressed Sensing
LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT
Artifact Removal using Improved GoogLeNet for Sparse-view CT Reconstruction
Zinc Oxide–Montmorillonite Hybrid Influences Diarrhea, Intestinal Mucosal Integrity, and Digestive Enzyme Activity in Weaned Pigs
Control Design and Experimental Evaluation of the 2D CyberWalk Platform
DEVELOPMENT OF A STEP-CLIMBING OMNI-DIRECTIONAL MOBILE ROBOT
Analysis of Multiresolution Image Denoising Schemes Using Generalized Gaussian and Complexity Priors
Accounting for the Contradictory Organizational Consequences of Information Technology: Theoretical Directions and Methodological Implications