Keyphrases
Deep Learning Methods
100%
Four-dimensional Cone-beam Computed Tomography
100%
Computed Tomography Reconstruction
100%
Motion Compensation
100%
Convolutional Neural Network
100%
Motion-compensated
50%
Cone-beam Computed Tomography Images
50%
Motion Reconstruction
41%
Motion Model
25%
Root Mean Square Error
25%
XCAT Phantom
25%
Normalized Cross Correlation
25%
Streak Artifacts
16%
Artifact Reduction
16%
Motion Information
16%
Motion Modeling
16%
Deep Learning
8%
Neural Network
8%
Image Quality
8%
Phantom Experiments
8%
Imaging Time
8%
Torso
8%
Data-driven Approach
8%
Body Regions
8%
Undersampling
8%
CBCT Images
8%
Reconstruction Procedure
8%
Detailed Structure
8%
CBCT Imaging
8%
4D CT Scan
8%
Enhanced Image
8%
Reconstructed Image Quality
8%
Background Motion
8%
3D Artifacts
8%
Computer Science
Motion Compensation
100%
Convolutional Neural Network
100%
Deep Learning Method
100%
Motion Model
25%
normalized cross correlation
25%
Reconstructed Image
16%
Motion Information
16%
Image Quality
8%
Driven Approach
8%
Enhanced Image
8%
Engineering
Motion Compensation
100%
Deep Learning Method
100%
Convolutional Neural Network
100%
Motion Model
25%
Root Mean Square Error
25%
Crosscorrelation
25%
Reconstructed Image
16%
Enhanced Image
8%
Neuroscience
Neural Network
100%
Cone Beam Computed Tomography
100%
Artifact Reduction
16%
In Vivo
8%
Earth and Planetary Sciences
Tomography
100%
Root-Mean-Square Error
37%
Cross Correlation
37%
Standard Deviation
12%