On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging

Mathematics

• Neuroimaging 100%
• Neural Network Model 87%
• Training 74%
• Dependent 46%
• Neural Networks 39%
• Biomedical Imaging 24%
• Training Samples 18%
• Pooling 18%
• Intercept 16%
• Computer Vision 16%
• Imaging 15%
• Standards 15%
• Brain 15%
• Baseline 15%
• Slope 13%
• Learning 12%
• Trajectory 10%
• Regression 10%
• Knowledge 10%
• Performance 8%
• Term 7%

Engineering & Materials Science

• Neuroimaging 92%
• Convolutional neural networks 63%
• Imaging techniques 35%
• Computer vision 19%
• Brain 19%
• Trajectories 16%