Computer Science
Experimental Result
100%
Computer Interface
57%
Deep Learning
38%
Convolutional Neural Network
33%
Feature Selection
32%
Machine Learning
26%
Support Vector Machine
26%
Functional Connectivity
23%
Representation Learning
22%
Multimodality
22%
Sparse Representation
20%
Segmentation Method
20%
Random Decision Forest
19%
Robot
18%
Classification Accuracy
18%
Neural Network
18%
Spatial Pattern
17%
Regularization
17%
Deformable Registration
16%
Sparsity
15%
Multitask Learning
15%
Image Segmentation
15%
Deep Neural Network
14%
Classification Method
14%
Learning Framework
14%
Deformation Field
14%
Convolutional Network
13%
Neuroimaging Data
12%
Feature Extraction
12%
Correlation Analysis
12%
Annotation
12%
Functional Network
12%
Classification Performance
12%
U-Net
12%
Face Recognition
12%
Image Quality
11%
Training Data
11%
Linear Combination
10%
Functional State
10%
Image Contrast
10%
Extracted Feature
9%
Image Synthesis
9%
Interface System
9%
segmentation accuracy
9%
Generative Adversarial Networks
9%
Anatomical Landmark
9%
Discriminative Feature
9%
brain machine interface
9%
super resolution
9%
Learning Approach
8%
Noise-to-Signal Ratio
8%
facial image
8%
Deformable Model
8%
Linear Discriminant Analysis
8%
de-noising
8%
Least Squares Method
8%
Unmanned Aerial Vehicle
8%
Automatic Segmentation
8%
Image Intensity
7%
Training Subject
7%
Principal Components
7%
Image Analysis
7%
Interpretability
7%
Feature Vector
7%
Deep Convolutional Neural Networks
7%
Imaging Modality
7%
Art Performance
7%
Support Vector Machine
7%
Clinical Application
7%
Facial Expression
7%
Image Sequence
7%
Cortical Thickness
7%
Training Sample
7%
Support Vector
6%
Feature Space
6%
Transfer Learning
6%
Component Analysis
6%
Classification Task
6%
Network Connectivity
6%
Registration Error
6%
Neural Network Model
6%
Superior Performance
6%
Subnetwork
6%
Deep Feature
6%
Detection Method
6%
Unified Framework
6%
Longitudinal Data
6%
Spatial Domain
6%
Surface Registration
6%
Similarity Matrix
6%
Multiple Atlas
6%
Learned Feature
6%
Atlas Construction
6%
Conventional Method
5%
Landmark Detection
5%
Computer Vision
5%
Human Visual System
5%
Objective Function
5%
Aided Diagnosis
5%
Prediction Accuracy
5%
Engineering
Experimental Result
48%
Brain-Computer Interface
35%
Tasks
32%
Brain Image
25%
Registration Method
20%
Convolutional Neural Network
17%
Segmentation Method
17%
State-of-the-Art Method
17%
Joints (Structural Components)
15%
Transmissions
15%
Deep Learning
15%
Feature Extraction
13%
Robot
13%
Classification Accuracy
13%
Simulators
12%
Random Forest
12%
Regularization
11%
Limitations
11%
Support Vector Machine
11%
Similarities
11%
Motor Imagery
11%
Deformation Field
11%
High Resolution
10%
Brain Tissue
10%
Radiotherapy
10%
Ground Truth
9%
Deep Neural Network
8%
Medical Image
8%
Filtration
8%
Registration Accuracy
8%
Spatial Resolution
8%
Unmanned Aerial Vehicle
8%
Gallium Arsenide
8%
Multiscale
7%
Cortical Thickness
7%
Region of Interest
7%
Image Sequence
6%
Image Intensity
6%
Signal-to-Noise Ratio
6%
Classification Method
6%
Real Data
6%
Context Model
6%
Classification Performance
6%
Multichannel
6%
Random Field
6%
Metrics
6%
Human Brain
5%
Recursive
5%
Sparsity
5%
Gaussians
5%
Patient Specific
5%
Image Analysis
5%
Fits and Tolerances
5%
Local Minimum
5%
Common Space
5%
Phase Modulation
5%
Spatial Frequency
5%
Cortical Surface
5%
Optical Transmission System
5%
Feedthrough
5%
Feature Vector
5%
Keyphrases
Mild Cognitive Impairment
13%
Brain-computer Interface
12%
Image Registration
9%
Alzheimer's Disease Diagnosis
9%
Brain MR Image
9%
Alzheimer's Disease
8%
Fiber Bundle
8%
Magnetic Resonance Imaging
8%
Restoration Method
8%
Deep Learning
7%
Convolutional Neural Network
7%
Interpolation Method
7%
Microscopy
7%
Diffusion Magnetic Resonance Imaging (dMRI)
7%
Prostate
7%
Brain MRI
6%
Image-based
6%
Brain Regions
5%
Registration Method
5%
Sparse Representation
5%
Support Vector Machine
5%
DFB Laser
5%
Functional Magnetic Resonance Imaging
5%
Facial Image
5%