Keyphrases
Magnetic Resonance
100%
Parameter Mapping
100%
Resonance Parameters
100%
Model-guided
100%
Self-supervised Deep Learning
100%
Imaging Model
66%
Quantitative MRI
66%
Iterative Reconstruction
66%
Undersampling
66%
T2 Mapping
66%
Physical Model
66%
Quantitative MR
66%
Reconstruction Accuracy
66%
Supervised Learning
66%
Total Variation Constraint
66%
MR Parameter Mapping
66%
Magnetic Resonance Imaging
33%
T1 Mapping
33%
T1-T2
33%
MRI Data
33%
Noise Free
33%
Reference-free
33%
Fit Parameters
33%
Quantitative Model
33%
Quantitative Imaging
33%
Improve Image Quality
33%
K-space
33%
Simulated Dataset
33%
Mapping Data
33%
Reconstruction Performance
33%
Sparsity Constraint
33%
Initial Feasibility
33%
MRI Application
33%
Parameter Maps
33%
Constrained Reconstruction
33%
Supervised Deep Learning
33%
Model Constraints
33%
Deep Learning Reconstruction
33%
Direct Reconstruction
33%
Network Training
33%
Undersampling Artifacts
33%
T1-T2 Map
33%
Map Extraction
33%
MRI Reconstruction
33%
Computer Science
Deep Learning
100%
Total Variation
50%
Supervised Learning
50%
Physical Model
50%
Image Quality
25%
Simulated Data
25%
Sparsity
25%
Reference Data
25%
Data Mapping
25%
Engineering
Deep Learning
100%
Total Variation
50%
Physical Model
50%
Sparsity
25%
Ground Truth
25%
Reference Data
25%
Simulated Data
25%
Network Training
25%
Noise Artifact
25%
Medicine and Dentistry
Nuclear Magnetic Resonance
100%
Magnetic Resonance Imaging
100%
Image Quality
25%
Magnetic Resonance Imaging
25%
Quantitative Imaging
25%
Earth and Planetary Sciences