Feature tracking cardiac magnetic resonance via deep learning and spline optimization

Mathematics

• Feature Tracking 100%
• Magnetic Resonance 80%
• Cardiac 65%
• Spline 46%
• Learning 46%
• Optimization 38%
• Segmentation 30%
• Cardiomyopathy 24%
• Neural Networks 24%
• Magnetic Resonance Image 21%
• Union 19%
• Image Sequence 19%
• Network Architecture 19%
• Intersection 19%
• Reproducibility 17%
• Automation 16%
• Pixel 15%
• Cross-validation 14%
• Quantification 14%
• Threefolds 14%
• Architecture 14%
• Least Squares 11%
• Convolution 10%
• Limiting 10%
• Experiment 9%
• Context 7%
• Performance 7%
• Class 7%
• Framework 7%

Engineering & Materials Science

• Magnetic resonance 53%
• Splines 50%
• Convolutional neural networks 46%
• Deep learning 45%
• Convolution 25%
• Deep neural networks 24%
• Network architecture 23%
• Pipelines 19%
• Automation 19%
• Pixels 19%
• Experiments 9%