Engineering
Image Reconstruction
100%
Dataset
63%
Maximum a Posteriori
54%
Basis Function
36%
Joints (Structural Components)
36%
Axial Compression
36%
System Matrix
32%
Gaussians
31%
Recovery
21%
High Accuracy
18%
Noise Ratio
18%
Design Optimization
18%
Scintillator
18%
Design
18%
Simulated Data
15%
Similarities
15%
Maximum Likelihood
15%
Real Data
12%
Root Mean Square Error
12%
Benchmark
12%
Structural Similarity
12%
Noisy Image
11%
Detail Image
9%
Simulation Result
9%
Photodetector
9%
Expectation Maximization Algorithm
8%
Error
6%
Large Value
6%
Large Extent
6%
Imaging Modality
6%
Low Level
6%
Signal Intensity
6%
Subregions
5%
Fluctuations
5%
Earth and Planetary Sciences
Image Reconstruction
80%
Positron
38%
Emissions
38%
Tomography
38%
Scanner
36%
Accuracy
18%
Point Spread Function
18%
Model
18%
Improvement
13%
Data Set
9%
Show
9%
Projector
8%
Investigation
7%
Field of View
7%
Variation
7%
Coefficient
7%
Error
6%
Need
6%
Tradeoff
5%
Computer Science
Kernel Method
55%
Image Quality
41%
Modeling
41%
Algorithms
40%
Joint Sparsity
18%
Partial Volume
17%
Poisson Process
16%
maximum-likelihood
12%
Normalization Factor
12%
Alternating Direction Method of Multipliers
9%
Open Source
9%
Quality Property
9%
Compression Scheme
9%
Analytic Model
7%
Monte Carlo Simulation
7%
Coefficient of Variation
6%
Synthetic Datasets
6%
Anatomical Information
6%
Dimensionality Reduction
6%