Learned Proximal Networks for Quantitative Susceptibility Mapping

Mathematics

• Susceptibility 100%
• Neural Networks 49%
• Dipole 48%
• Inversion 46%
• Interpretability 34%
• Data-driven 29%
• Training 27%
• Phase Measurement 23%
• Learning 23%
• Magnetic Susceptibility 22%
• Magnetic Resonance 20%
• Medical Image 19%
• Iterative Solvers 17%
• Image Reconstruction 16%
• Acquisition 16%
• Reconstruction Algorithm 16%
• Restoration 16%
• Physical Model 15%
• Decoupling 14%
• Flexibility 12%
• Smoothing 12%
• Regularization 11%
• Convolution 10%
• Costs 9%
• Strategy 9%
• Demonstrate 7%
• Framework 7%
• Arbitrary 6%
• Operator 6%
• Estimate 6%

Engineering & Materials Science

• Convolutional neural networks 57%
• Deep learning 28%
• Magnetic susceptibility 25%
• Phase measurement 20%
• Magnetic resonance 16%
• Image reconstruction 16%
• Convolution 15%
• Restoration 15%
• Tissue 13%
• Sampling 11%
• Costs 6%