Keyphrases
Denoising
100%
Generative Adversarial Networks
100%
Attention-guided
100%
SPECT Myocardial Perfusion Imaging
100%
Acquisition Time
36%
Conditional Generative Adversarial Network (cGAN)
27%
U-Net
27%
Convolutional Neural Network
18%
Defect Size
18%
Network Attention
18%
Perfusion Defect
18%
Deep Learning Methods
9%
Network Applications
9%
Neural Network
9%
Network Performance
9%
Linear Regression
9%
Neural Network Method
9%
Mean Absolute Error
9%
Time-image
9%
Attention Mechanism
9%
Large Region
9%
Computed Tomography
9%
Voxel-based
9%
Projected Image
9%
Receptive Field
9%
Convolute
9%
Feature Dependency
9%
Quantitative Index
9%
5-fold Cross Validation
9%
TensorFlow
9%
Convolution Kernel
9%
Time-mode
9%
99mTc-sestamibi
9%
SPECT-CT
9%
SPECT Image
9%
Joint Histogram
9%
Adam Optimizer
9%
Learning-based Denoising
9%
List-mode Data
9%
3D Attention
9%
Nursing and Health Professions
Heart Muscle Perfusion
100%
Single-Photon Emission Computed Tomography
100%
Phosphorotrithioic Acid Tributyl Ester
66%
Perfusion
33%
Linear Regression Analysis
16%
Histogram
16%
X-Ray Computed Tomography
16%
Methoxy Isobutyl Isonitrile Technetium Tc 99m
16%
Single Photon Emission Computed Tomography-Computed Tomography
16%
Medicine and Dentistry
Single-Photon Emission Computed Tomography
100%
Heart Muscle Perfusion
100%
Phosphorotrithioic Acid Tributyl Ester
66%
Receptive Field
33%
Cross-Validation
16%
Linear Regression Analysis
16%
Single Photon Emission Computed Tomography-Computed Tomography
16%
Methoxy Isobutyl Isonitrile Technetium Tc 99m
16%
Psychology
Neural Network
100%
Receptive Field
100%
Cross-Validation
50%
Linear Regression
50%
Testing and Validation
50%
Biochemistry, Genetics and Molecular Biology
Heart Muscle Perfusion
100%
Single Photon Emission Computed Tomography
100%
Perfusion
33%
Receptive Field
33%
Single Photon Emission Computed Tomography-Computed Tomography
16%
X-Ray Computed Tomography
16%
Neuroscience
Single-Photon Emission Computed Tomography
100%
Neural Network
28%
Receptive Field
28%
Technetium-99m
14%