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Segmentation of Brain MRI in Young Children
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/hbm.10062openalex-snapshot
Fast robust automated brain extraction
inferredcites →https://doi.org/10.1002/mrm.10606openalex-snapshot
Normative pediatric brain data for spatial normalization and segmentation differs from standard adult data
inferredcites →https://doi.org/10.1007/11566489_64openalex-snapshot
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
inferredcites →https://doi.org/10.1007/3-540-45786-0_70openalex-snapshot
Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images
inferredcites →https://doi.org/10.1007/978-1-4615-1079-6_16openalex-snapshot
Statistical Parametric Mapping
inferredcites →https://doi.org/10.1007/978-3-540-30135-6_2openalex-snapshot
Automatic Segmentation of Neonatal Brain MRI
inferredcites →https://doi.org/10.1007/978-3-540-30135-6_83openalex-snapshot
A Framework for Detailed Objective Comparison of Non-rigid Registration Algorithms in Neuroimaging
inferredcites →https://doi.org/10.1007/978-3-540-30135-6_91openalex-snapshot
Non-rigid Atlas-to-Image Registration by Minimization of Class-Conditional Image Entropy
inferredcites →https://doi.org/10.1007/bfb0056228openalex-snapshot
Adaptive template moderated spatially varying statistical classification
inferredcites →https://doi.org/10.1016/j.neuroimage.2005.02.018openalex-snapshot
Unified segmentation
inferredcites →https://doi.org/10.1016/s0896-6273(02)00569-xopenalex-snapshot
Whole Brain Segmentation
inferredcites →https://doi.org/10.1016/s1361-8415(03)00037-9openalex-snapshot
A fully automatic and robust brain MRI tissue classification method
inferredcites →https://doi.org/10.1056/nejmoa041367openalex-snapshot
Neurologic and Developmental Disability at Six Years of Age after Extremely Preterm Birth
inferredcites →https://doi.org/10.1088/0031-9155/46/3/201openalex-snapshot
Medical image registration
inferredcites →https://doi.org/10.1109/42.668698openalex-snapshot
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
inferredcites →https://doi.org/10.1109/42.796284openalex-snapshot
Nonrigid registration using free-form deformations: application to breast MR images
inferredcites →https://doi.org/10.1109/42.811268openalex-snapshot
Automated model-based bias field correction of MR images of the brain
inferredcites →https://doi.org/10.1109/42.811270openalex-snapshot
Automated model-based tissue classification of MR images of the brain
inferredcites →https://doi.org/10.1109/42.906424openalex-snapshot
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1117/12.595146openalex-snapshot
A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation
inferredcites →https://doi.org/10.1542/peds.2004-0326openalex-snapshot
Abnormal Cerebral Structure Is Present at Term in Premature Infants
inferredcites →https://doi.org/10.2307/1932409openalex-snapshot
Measures of the Amount of Ecologic Association Between Species
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/hbm.23262openalex-snapshot
Alterations in regional shape on ipsilateral and contralateral cortex contrast in children with unilateral cerebral palsy and are predictive of multiple outcomes
inferred← citeshttps://doi.org/10.1007/978-3-540-75757-3_65openalex-snapshot
Groupwise Combined Segmentation and Registration for Atlas Construction
inferred← citeshttps://doi.org/10.1007/978-3-540-79305-2_5openalex-snapshot
Magnetic Resonance Image Segmentation Based on Two-Dimensional Exponential Entropy and a Parameter Free PSO
inferred← citeshttps://doi.org/10.1007/978-3-540-85988-8_9openalex-snapshot
A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI
inferred← citeshttps://doi.org/10.1016/j.ijdevneu.2015.08.004openalex-snapshot
The need for improved brain lesion segmentation techniques for children with cerebral palsy: A review
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2007.07.067openalex-snapshot
Assessment of brain growth in early childhood using deformation-based morphometry
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2008.07.055openalex-snapshot
Automated morphological analysis of magnetic resonance brain imaging using spectral analysis
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2009.02.018openalex-snapshot
Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy
inferred← citeshttps://doi.org/10.1109/dicta.2015.7371257openalex-snapshot
Expectation-Maximization with Image-Weighted Markov Random Fields to Handle Severe Pathology
inferred← citeshttps://doi.org/10.1109/ecticon.2012.6254193openalex-snapshot
Local maximum detection for fully automatic classification of EM algorithm
inferred← citeshttps://doi.org/10.1109/iembs.2007.4353607openalex-snapshot
Fast brain MRI segmentation based on two-dimensional survival exponential entropy and particle swarm optimization
inferred← citeshttps://doi.org/10.1145/2614348.2614364openalex-snapshot
Robust segmentation of brain MRI using combination of registration and EM-based methods
inferred← citeshttps://doi.org/10.3389/fdata.2021.577164openalex-snapshot
Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis
inferred← citeshttps://doi.org/10.48550/arxiv.2111.01561openalex-snapshot
Sub-cortical structure segmentation database for young population
inferred← citeshttps://doi.org/10.70675/44a642b1z9128z4596z92f8z0f9767a16911openalex-snapshot
Automatic segmentation and shape analysis of human hippocampus in Alzheimer's disease
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