A computational growth model for measuring dynamic cortical development in the first year of life.
about
Toward the automatic quantification of in utero brain development in 3D structural MRI: A review.Mapping longitudinal hemispheric structural asymmetries of the human cerebral cortex from birth to 2 years of ageLongitudinal development of cortical thickness, folding, and fiber density networks in the first 2 years of life.Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants.Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants.Morphological features of the neonatal brain following exposure to regional anesthesia during labor and deliveryIntegration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentationDeep convolutional neural networks for multi-modality isointense infant brain image segmentation.LINKS: learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images.Cortical thickness and surface area in neonates at high risk for schizophrenia.Development of Cortical Morphology Evaluated with Longitudinal MR Brain Images of Preterm Infants.Spatial Patterns, Longitudinal Development, and Hemispheric Asymmetries of Cortical Thickness in Infants from Birth to 2 Years of Age.Construction of 4D high-definition cortical surface atlases of infants: Methods and applicationsSpatiotemporal patterns of cortical fiber density in developing infants, and their relationship with cortical thickness.Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing.Development of cortical anatomical properties from early childhood to early adulthoodMapping region-specific longitudinal cortical surface expansion from birth to 2 years of age.Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces.Mapping longitudinal development of local cortical gyrification in infants from birth to 2 years of ageCan we predict subject-specific dynamic cortical thickness maps during infancy from birth?Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI.Developmental Connectomics from Infancy through Early Childhood.Learning-based subject-specific estimation of dynamic maps of cortical morphology at missing time points in longitudinal infant studies.Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework.A transversal approach for patch-based label fusion via matrix completion.iBEAT: A toolbox for infant brain magnetic resonance image processing.
P2860
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P2860
A computational growth model for measuring dynamic cortical development in the first year of life.
description
2011 nî lūn-bûn
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2011年の論文
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2011年学术文章
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name
A computational growth model f ...... ent in the first year of life.
@ast
A computational growth model f ...... ent in the first year of life.
@en
type
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A computational growth model f ...... ent in the first year of life.
@ast
A computational growth model f ...... ent in the first year of life.
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A computational growth model f ...... ent in the first year of life.
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A computational growth model f ...... ent in the first year of life.
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P2093
P2860
P356
P1433
P1476
A computational growth model f ...... ment in the first year of life
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Dinggang Shen
Jingxin Nie
John H Gilmore
P2860
P304
P356
10.1093/CERCOR/BHR293
P577
2011-11-02T00:00:00Z