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Engineering
Image Reconstruction
90%
Maximization
25%
Regularization
21%
Reconstructed Image
19%
Maximum Likelihood
19%
Maximum a Posteriori
19%
Deep Learning Method
19%
High Resolution
18%
Spatial Resolution
15%
Basis Function
15%
Joints (Structural Components)
12%
Point Spread Function
11%
Image Space
11%
System Matrix
10%
Similarities
8%
Expectation Maximization Algorithm
8%
Region of Interest
7%
Real Data
6%
Kinetic Parameter
6%
Noise Level
6%
Simulated Data
6%
Gaussians
6%
Signal-to-Noise Ratio
6%
Sensor Array
6%
Motion Compensation
6%
Total Variation
5%
Acquired Data
5%
Computer Science
Image Reconstruction
100%
Image Quality
43%
Reconstructed Image
34%
maximum-likelihood
26%
Deep Learning Method
24%
Regularization
21%
Spatial Resolution
15%
reconstruction algorithm
12%
Kernel Method
10%
Partial Volume
9%
Simulation Study
9%
Basis Function
9%
Convolutional Neural Network
9%
Total Variation
8%
Training Data
7%
Synthetic Datasets
7%
Point Spread Function
6%
Motion Compensation
6%
Temporal Resolution
6%
Simulated Data
6%
Leaning Parameter
6%
Monte Carlo Simulation
5%
de-noising
5%
Medicine and Dentistry
Image Reconstruction
74%
Polyethylene Terephthalate
57%
Positron Emission Tomography
57%
Image Quality
15%
Maximum Likelihood Method
14%
Magnetic Resonance Imaging
10%
Cardiac PET
7%
