A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

Keyphrases

• Convolutional Neural Network 100%
• Magnetic Resonance Image Reconstruction 100%
• Deep Cascade 100%
• Image Frame 66%
• Undersampling 66%
• Dynamic Sequence 66%
• Time Application 33%
• Recent Advances 33%
• Deep Learning 33%
• 2D Image 33%
• Learning-based 33%
• State-of-the-art Techniques 33%
• Compressed Sensing 33%
• Dictionary Learning 33%
• DCASE 33%
• Reconstruction Error 33%
• Cardiac Magnetic Resonance Image 33%
• Anatomical Structure 33%
• Data Acquisition Process 33%
• Spatio-temporal Correlation 33%
• Undersampled Data 33%
• Reconstruction Speed 33%
• Data Sharing Approaches 33%
• Sensing Approach 33%

Computer Science

• Convolutional Neural Network 100%
• Image Reconstruction 100%
• Real-Time Application 33%
• Compressed Sensing 33%
• Dictionary Learning 33%
• Reconstruction Error 33%
• Acquisition Process 33%
• Data Sharing 33%
• Sharing Approach 33%
• Temporal Correlation 33%
• Deep Learning Method 33%
• Data Collection 33%