Longitudinally guided level sets for consistent tissue segmentation of neonates.
about
Mapping longitudinal hemispheric structural asymmetries of the human cerebral cortex from birth to 2 years of ageNeonatal atlas construction using sparse representation.Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants.4D multi-modality tissue segmentation of serial infant images4D segmentation of brain MR images with constrained cortical thickness variationSegmentation of neonatal brain MR images using patch-driven level sets.Integration 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.Spatial Patterns, Longitudinal Development, and Hemispheric Asymmetries of Cortical Thickness in Infants from Birth to 2 Years of Age.Dynamic Development of Regional Cortical Thickness and Surface Area in Early ChildhoodSegmentation of human brain using structural MRI.Spatiotemporal 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.Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces.Mapping region-specific longitudinal cortical surface expansion from birth to 2 years of age.Mapping longitudinal development of local cortical gyrification in infants from birth to 2 years of ageJoint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI.Brain MR image segmentation based on an improved active contour model.NEOCIVET: Towards accurate morphometry of neonatal gyrification and clinical applications in preterm newborns.A fast stochastic framework for automatic MR brain images segmentation.iBEAT: A toolbox for infant brain magnetic resonance image processing.Structural and Maturational Covariance in Early Childhood Brain Development.Scalable Joint Segmentation and Registration Framework for Infant Brain Images.
P2860
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P2860
Longitudinally guided level sets for consistent tissue segmentation of neonates.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Longitudinally guided level sets for consistent tissue segmentation of neonates.
@en
type
label
Longitudinally guided level sets for consistent tissue segmentation of neonates.
@en
prefLabel
Longitudinally guided level sets for consistent tissue segmentation of neonates.
@en
P2093
P2860
P356
P1433
P1476
Longitudinally guided level sets for consistent tissue segmentation of neonates.
@en
P2093
John H Gilmore
Pew-Thian Yap
P2860
P304
P356
10.1002/HBM.21486
P577
2011-12-03T00:00:00Z