Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging

Keyphrases

• Machine Learning 100%
• Medical Imaging 100%
• Cardiac Magnetic Resonance Imaging (cMRI) 100%
• Physics Learning 100%
• Physics-informed Deep Learning 100%
• Physics-based 50%
• Deep Learning 50%
• Forward Model 50%
• Loss Function 25%
• Inverse Problem 25%
• Network Model 25%
• Generative Models 25%
• Learning-based 25%
• Imaging Problems 25%
• Reconstruction Performance 25%
• Neural Network Applications 25%
• Imaging pipeline 25%
• Unrolled Networks 25%
• Downstream Task 25%
• Translational Applications 25%
• Magnetic Resonance Imaging Reconstruction 25%
• Plug-and-play 25%
• Physics Information 25%

Computer Science

• Medical Imaging 100%
• Machine Learning 100%
• Learning System 100%
• Deep Learning Method 100%
• Inverse Problem 33%
• Building-Blocks 33%
• Information Physics 33%
• Neural Network 33%
• Generative Model 33%
• Learning Approach 33%

Physics

• Physics 100%
• Magnetic Resonance 100%
• Machine Learning 100%
• Deep Learning Method 100%
• Neural Network 14%