Keyphrases
Classification Model
100%
Multiple Sclerosis Lesions
100%
Lesion Detection
100%
Multimodal MRI
100%
Spatial Data
40%
MRI Modalities
40%
Intensity Information
40%
Three-dimensional (3D)
20%
Treatment Efficacy
20%
Bayesian Framework
20%
Magnetic Resonance Imaging
20%
Disease Progression
20%
Brain Magnetic Resonance Imaging
20%
Between-subject
20%
Size-and-shape
20%
Accurate Identification
20%
Disease Evaluation
20%
Lesion Size
20%
Neuroimaging Data
20%
Lesion Location
20%
Treatment Evaluation
20%
Maximum a Posteriori
20%
Multinomial Logistic Regression
20%
Texture Information
20%
Texture Features
20%
Classification Problem
20%
Clinical Neuroimaging
20%
Lesion Shape
20%
Markov Random Field Prior
20%
Multiple Sclerosis Diagnosis
20%
Posterior Probability Distribution
20%
Anatomical Variability
20%
Supervised Classification Algorithm
20%
Graph Cut Algorithm
20%
Elastic Net Model
20%
BrainWeb
20%
Lesion Segmentation
20%
Computer Science
Classification Models
100%
Spatial Information
100%
Neuroimaging Data
50%
Graph Cut
50%
Lesion Segmentation
50%
Disease Progression
50%
Classification Algorithm
50%
Bayesian Framework
50%
Classification Problem
50%
Logistic Regression
50%
Texture Information
50%
Texture Feature
50%
Supervised Classification
50%
Posterior Probability
50%
Mathematics
Magnetic Resonance Imaging
100%
Posteriori
50%
Bayesian
50%
Cut Algorithm
50%
Probability Distribution
50%
Disease Progression
50%
Markov Random Fields
50%
Elastic Net
50%
Multinomial Logistic Regression
50%
Classification Problem
50%
Neuroscience
Multiple Sclerosis
100%
Magnetic Resonance Imaging
100%
Magnetic Resonance Imaging
33%