Denoise Functional Magnetic Resonance Imaging With Random Matrix Theory Based Principal Component Analysis

Keyphrases

• Functional Magnetic Resonance Imaging 100%
• Random Matrix Theory 100%
• Principal Coordinate Analysis (PCoA) 100%
• Denoising Method 100%
• Denoising 100%
• Functional MRI Data 50%
• High-resolution Functional MRI 33%
• High-resolution 16%
• Clinical Application 16%
• Optimal Strategy 16%
• Low Signal-to-noise Ratio 16%
• Rank Estimation 16%
• State-of-the-art Techniques 16%
• Functional Sensitivity 16%
• Physiological Noise 16%
• Functional Mapping 16%
• Noise Estimation 16%
• Data Preprocessing 16%
• Thermal Noise 16%
• Image Reconstruction 16%
• Multi-criteria 16%
• Neuroscience Application 16%
• Restorative Quality 16%
• Preprocessing pipeline 16%
• Singular Value Shrinkage 16%

Computer Science

• de-noising 100%
• Principal Components 100%
• Component Analysis 100%
• Noise-to-Signal Ratio 16%
• Data Preprocessing 16%
• Image Restoration 16%
• Clinical Application 16%
• Singular Value 16%
• Optimal Strategy 16%
• Multiple Criterion 16%

Material Science

• Functional Magnetic Resonance Imaging 100%
• Signal-to-Noise Ratio 16%