Engineering
Image Reconstruction
100%
Sparsity
71%
Regularization
53%
Total Variation
52%
Projection Data
33%
Tomographic Reconstruction
32%
Energy Engineering
27%
Bayesian Approach
22%
Compressed Sensing
20%
Spatial Resolution
18%
Reconstructed Image
17%
System Matrix
16%
Limitations
16%
Optimisation Problem
13%
Uncertainty Quantification
13%
Angular Range
13%
Least Square
13%
Prototype
12%
Signal-to-Noise Ratio
12%
Reconstruction Problem
12%
Accurate Solution
11%
Mathematical Model
11%
Numerical Experiment
10%
Two Dimensional
10%
Edge Separation
10%
Design Parameter
10%
Partial Occlusion
10%
Condition Number
10%
Convex Optimization Problem
10%
Phase Contrast
10%
Parallel Beam
10%
Truncation
10%
Gradient Magnitude
10%
Classical Method
10%
Numerical Optimization
10%
Partial Differential Equation
10%
Geometric Parameter
10%
Bragg Cell
10%
Singular Value Decomposition
10%
Numerical Methods
10%
Stopping Rule
10%
Multistatic Radars
10%
Iterative Algorithm
10%
Defects
10%
Defect Detection
10%
Crystalline Phase
10%
Gaussians
10%
Field Image
10%
Anisotropic
10%
Posterior Distribution
7%
Computer Science
Image Reconstruction
96%
Sparsity
40%
Total Variation
37%
Inverse Problem
31%
Bayesian Approach
30%
reconstruction algorithm
24%
Reconstruction Problem
24%
Regularization
23%
Backprojection
20%
Optimization Problem
20%
Posterior Distribution
15%
Computer Simulation
13%
Compressed Sensing
11%
Open Source
10%
Gradient Method
10%
Benchmarking
10%
Quantitative Study
10%
Convex Optimization
10%
Partial Differential Equation
10%
Boundary Condition
10%
Photon Emission
10%
Optimization Algorithm
10%
Reconstruction Error
10%
Data Preprocessing
10%
Layered Structure
10%
Noise-to-Signal Ratio
10%
Large Scale Data
10%
Regularization Method
10%
Geometric Parameter
10%
Reconstructed Image
10%
High Correlation
10%
Learning Technique
10%
Large-Scale Problem
10%
Projection Matrix
10%
Priori Information
10%
Cost Saving
10%
High-Performance Computing
10%
level-set method
10%
Sufficient Number
7%
Tomographic Reconstruction
7%
Projection Data
6%
Least Squares Methods
6%
Desired Outcome
5%
Medical Application
5%
Application Area
5%
Statistical Approach
5%
Computational Approach
5%
Convergence Criterion
5%
Challenging Condition
5%
Point Estimate
5%
Keyphrases
Parallel Beam
23%
Computed Tomography
20%
Radon Transform
20%
X-ray Computed Tomography (X-CT)
12%
Reconstruction Problem
12%
Tomography
12%
Limited-angle
12%
Statistical Aspects
10%
Discretization Model
10%
Uniqueness Condition
10%
Measurement Process
10%
Convergence in Total Variation
10%
Microcalcification
10%
Gradient Sparsity
10%
Phase Reconstruction
10%
X-ray
10%
Accelerated Gradient Method
10%
Partial Occlusion
10%
Projection Truncation
10%
Full Occlusion
10%
Subsea pipe
10%
Numerical Computation
10%
Geometry Problems
10%
Regularization Method
10%
Stopping Rule
10%
Multistatic Radar Imaging
10%
Seismic Imaging
10%
Compton Tomography
10%
Phase Diffraction
10%
Spectral Polarization
10%
Strong Convexity
10%
Simple Experiments
10%
Two-dimensional Projection
10%
System Matrix
10%
Forward Projection
10%
Phase Diagram Analysis
10%
Dual Reconstruction
10%
Iterative Reconstruction
10%
Convex Feasibility
10%
Digital Breast Tomosynthesis
10%
Beam Geometry
10%
Analytic Reconstruction
10%
Three-dimensional Image Reconstruction
10%
3D PET
10%
Sparsity Basis
10%
Gradient Magnitude
10%
Physical Mechanism
10%
Sparse Image
10%
Image Sparsity
10%
Tomography Problem
10%
