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Comprehensive Brain MRI Segmentation in High Risk Preterm Newborns
Xintian Yu
, Yanjie Zhang
, Robert E. Lasky
, Sushmita Datta
, Nehal A. Parikh
, Ponnada A. Narayana
Center for Clinical and Translational Science
Pediatrics
Research output
:
Contribution to journal
›
Article
›
peer-review
37
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Keyphrases
High Risk
100%
Extremely Preterm Infants
100%
Neurodevelopmental Outcome
100%
Inter-rater Reliability
100%
Preterm Newborn
100%
Automatic Segmentation
100%
Manual Segmentation
100%
Brain Image Segmentation
100%
White Matter Signal Abnormalities
100%
Large Cohort
50%
Comprehensive Approach
50%
Repeatability
50%
Growth Disturbance
50%
Neonatal Care
50%
Intraclass Correlation Coefficient
50%
White Matter
50%
Accuracy Improvement
50%
MRI Scan
50%
Surrogate Endpoint
50%
Subcortical Structures
50%
High-risk Infants
50%
Nonparametric
50%
Neonatal Intensive Care
50%
Segmentation Approach
50%
Segmentation Method
50%
Manual Method
50%
Semi-automated Method
50%
Segmentation Tool
50%
Cerebral Atrophy
50%
CSF Segmentation
50%
Regional Brain Volumes
50%
Expectation-maximization Algorithm
50%
Brain Segmentation
50%
Term-equivalent Age
50%
Manual Correction
50%
Grey Matter Segmentation
50%
Parzen Window
50%
MRI Brain Volume
50%
Structural Boundaries
50%
Similarity Index
50%
Hidden Markov Random Field
50%
Misclassification Error
50%
T2-weighted MRI
50%
Objective Quantification
50%
Engineering
Endpoint
100%
Repeatability
100%
Expectation Maximization Algorithm
100%
Segmentation Method
100%
Structural Boundary
100%
Segmented Region
100%
Similarity Index
100%
Misclassification
100%
Random Field
100%
Manual Method
100%
Medicine and Dentistry
Prematurity
100%
Magnetic Resonance Imaging of Brain
100%
Biological Marker
66%
Magnetic Resonance Imaging
66%
Cerebrospinal Fluid
33%
Growth Disorder
33%
Newborn Care
33%
High-Risk Newborn
33%
Gray Matter
33%
Newborn Intensive Care
33%
Cerebral Atrophy
33%
Computer Science
Manual Segmentation
100%
Segmentation Method
100%
Segmentation Approach
100%
Equivalent Term
100%
Interrater Reliability
100%
Neuroscience
Magnetic Resonance Imaging of Brain
100%
Magnetic Resonance Imaging
66%
Gray Matter
33%
Growth Disorder
33%
Subcortical Structure
33%