Segmentation of neonatal brain MR images using patch-driven level sets.
about
Multi-atlas segmentation of biomedical images: A surveyFULLY CONVOLUTIONAL NETWORKS FOR MULTI-MODALITY ISOINTENSE INFANT BRAIN IMAGE SEGMENTATIONCerebroMatic: A Versatile Toolbox for Spline-Based MRI Template CreationMRI segmentation of the human brain: challenges, methods, and applications.Toward the automatic quantification of in utero brain development in 3D structural MRI: A review.Deep Learning in Medical Image Analysis.Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants.Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants.Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentationLINKS: learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images.Cortical thickness and surface area in neonates at high risk for schizophrenia.Spatial Patterns, Longitudinal Development, and Hemispheric Asymmetries of Cortical Thickness in Infants from Birth to 2 Years of Age.Hierarchical and symmetric infant image registration by robust longitudinal-example-guided correspondence detection.Automatic segmentation of the hippocampus for preterm neonates from early-in-life to term-equivalent age.Construction of 4D high-definition cortical surface atlases of infants: Methods and applicationsPrediction of standard-dose brain PET image by using MRI and low-dose brain [18F]FDG PET images.Estimating patient-specific and anatomically correct reference model for craniomaxillofacial deformity via sparse representation.Regional growth and atlasing of the developing human brain.Automated segmentation of dental CBCT image with prior-guided sequential random forestsSpatiotemporal patterns of cortical fiber density in developing infants, and their relationship with cortical thickness.Patch-based augmentation of Expectation-Maximization for brain MRI tissue segmentation at arbitrary age after premature birthA robust statistics driven volume-scalable active contour for segmenting anatomical structures in volumetric medical images with complex conditionsDiscriminative Learning for Alzheimer's Disease Diagnosis via Canonical Correlation Analysis and Multimodal Fusion.Structural growth trajectories and rates of change in the first 3 months of infant brain development.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 ageAutomated bone segmentation from dental CBCT images using patch-based sparse representation and convex optimization.A Combined Random Forests and Active Contour Model Approach for Fully Automatic Segmentation of the Left Atrium in Volumetric MRI.Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D).Spatio-angular consistent construction of neonatal diffusion MRI atlases.Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI.Learning-based subject-specific estimation of dynamic maps of cortical morphology at missing time points in longitudinal infant studies.Brain MR image segmentation based on an improved active contour model.NEOCIVET: Towards accurate morphometry of neonatal gyrification and clinical applications in preterm newborns.Quantitative surface analysis of combined MRI and PET enhances detection of focal cortical dysplasias.Cerebellum Tissue Segmentation with Ensemble Sparse Learning.An active contour model based on local fitted images for image segmentation.Lung field segmentation using weighted sparse shape composition with robust initialization.Towards a unified analysis of brain maturation and aging across the entire lifespan: A MRI analysis.Scalable Joint Segmentation and Registration Framework for Infant Brain Images.
P2860
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P2860
Segmentation of neonatal brain MR images using patch-driven level sets.
description
2013 nî lūn-bûn
@nan
2013 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Segmentation of neonatal brain MR images using patch-driven level sets.
@ast
Segmentation of neonatal brain MR images using patch-driven level sets.
@en
Segmentation of neonatal brain MR images using patch-driven level sets.
@nl
type
label
Segmentation of neonatal brain MR images using patch-driven level sets.
@ast
Segmentation of neonatal brain MR images using patch-driven level sets.
@en
Segmentation of neonatal brain MR images using patch-driven level sets.
@nl
prefLabel
Segmentation of neonatal brain MR images using patch-driven level sets.
@ast
Segmentation of neonatal brain MR images using patch-driven level sets.
@en
Segmentation of neonatal brain MR images using patch-driven level sets.
@nl
P2093
P2860
P1433
P1476
Segmentation of neonatal brain MR images using patch-driven level sets.
@en
P2093
P2860
P304
P356
10.1016/J.NEUROIMAGE.2013.08.008
P407
P577
2013-08-19T00:00:00Z