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Unified segmentation (2005)
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by John Ashburner , Karl J. Friston
Citations:
323 - 12 self
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Citations
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Neural Networks for Pattern Recognition
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Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain.
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Spatial registration and normalization of images.
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Deformable templates using large deformation kinematics
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Nonlinear spatial normalization using basis functions.
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Brainweb: online interface to a 3D MRI simulated brain database.
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Voxel-based morphometry—the methods.
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Design and construction of a realistic digital brain phantom”,
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A voxel-based morphometric study of aging in 465 normal adult human brains.
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Automated Image Registration: I. general methods and intrasubject, intramodality validation
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Unbiased diffeomorphic atlas construction for computational anatomy.
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Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI.
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Landmark matching via large deformation diffeomorphisms
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Fast fluid registration of medical images,
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B-Spline Signal Processing: Part I-Theory.
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Adaptive fuzzy segmentation of magnetic resonance images.
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Group actions, homeomorphisms, and matching: A general framework
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Multimodal image coregistration and partitioning—a unified framework.
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Sequence-independent segmentation of magnetic resonance images. Neuroimage 23:S69–S84.
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Automated model-based bias field correction of MR images of the brain.
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Fast parametric elastic image registration.
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Geodesic estimation for large deformation anatomical shape averaging and interpolation.
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Statistics on diffeomorphisms via tangent space representations. Neuroimage
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An extensible MRI simulator for post-processing evaluation,
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Parametric estimate of intensity inhomogeneities applied to MRI,"
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Computational anatomy: shape, growth, and atrophy comparison via diffeomorphisms
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Retrospective evaluation of intersubject brain registration.
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Retrospective correction of MR intensity inhomogeneity by information minimization
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Fast and robust parameter estimation for statistical partial volume models in brain MRI. Neuroimage
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Entropy minimization for automatic correction of intensity nonuniformity.
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Topological properties of smooth anatomic maps,”
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Maximum likelihood reconstruction in positron emission tomography
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The LONI pipeline processing environment.
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Fast non-rigid matching of 3D medical images,
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Characterizing volume and surface deformations in an atlas framework: theory, applications, and implementation
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A.C.: An Automated 3D NonLinear Image Deformation Procedure for Determination of Gross Morphometric Variability in the Human Brain.
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Automatic 3D segmentation of neuro-anatomical structures from
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Qualitative and quantitative evaluation of six algorithms for correcting intensity nonuniformity effects.
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Expert knowledgeguided segmentation system for brain MRI, NeuroImage 23 (S1
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Inter subject registration of functional and anatomical data using SPM
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Multi-modal volume registration by maximisation of mutual information. Medical Image Analysis
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Simultaneous segmentation and registration for medical image
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ªDeformation for Image Guided Intervention Using a Three Component Tissue Model,º
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Spatial normalization of 3D images using deformable models
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High- dimensional nonlinear image registration using symmetric priors
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Accurate template-based correction of brain MRI intensity distortion with application to dementia and aging
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Non-rigid atlas-toimage registration by minimization of class-conditional image entropy
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A statistical framework for partial volume segmentation
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Automatic correction of bias field in magnetic resonance images
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