Deep convolutional neural networks with multiplane consensus labeling for lung function quantification using UTE proton MRI

Keyphrases

• 1.5T MRI 16%
• 3D Radial 50%
• Asthma 16%
• Automatic Segmentation 33%
• Biomarker Extraction 16%
• Bland-Altman Analysis 33%
• Computation Time 16%
• Confidence Interval 50%
• Convolutional Encoder 16%
• Cystic Fibrosis 16%
• Deep Convolutional Neural Network (deep CNN) 100%
• Deep Learning 33%
• Deep Learning Methods 66%
• Dice Coefficient 16%
• Digital Biomarkers 16%
• Enhanced Image 16%
• Field Strength 16%
• Functional Lung Imaging 16%
• Functional Measurement 16%
• Functional Measures 16%
• Functional Quantification 16%
• Healthy Volunteers 16%
• Human Subjects 16%
• Hyperoxic 16%
• K-means 16%
• Left Lung 33%
• Lung 16%
• Lung Function 100%
• Lung Segmentation 50%
• Lung Structure 16%
• Multi-plane 100%
• Non-proton MRI 100%
• Normoxic 16%
• Oxygen Enrichment 16%
• Oxygen-enhanced MRI 16%
• Pulmonary Imaging 16%
• Region Growing 33%
• Regional Lung Function 16%
• Regional Quantification 16%
• Right Lung 16%
• Technical Development 16%
• Technical Efficacy 16%
• Ultrashort Echo Time 100%
• Volumetric Quantification 16%
• Wilcoxon Signed-rank Test 16%

Biochemistry, Genetics and Molecular Biology

• Cystic Fibrosis 100%
• Human 100%
• Lung Function 100%
• Normal Human 100%
• Retrospective Study 100%
• Wilcoxon Signed-Rank Test 100%

Medicine and Dentistry

• Asthma 20%
• Biological Marker 40%
• Human Subject 20%
• Left Lung 40%
• Lung Function 20%
• Lung Structure 20%
• Magnetic Resonance Imaging 100%
• Oxygen 40%
• Patient with Cystic Fibrosis 20%
• Retrospective Study 20%
• Right Lung 20%
• Volunteer 20%
• Wilcoxon Signed Ranks Test 20%