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Atlas-Based Fuzzy Connectedness Segmentation and Intensity Nonuniformity Correction Applied to Brain MRI
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/cviu.1999.0813openalex-snapshot
Scale-Based Fuzzy Connected Image Segmentation: Theory, Algorithms, and Validation
inferredcites →https://doi.org/10.1006/cviu.2000.0902openalex-snapshot
Relative Fuzzy Connectedness among Multiple Objects: Theory, Algorithms, and Applications in Image Segmentation
inferredcites →https://doi.org/10.1006/gmip.1996.0021openalex-snapshot
Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation
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Cortical constraints for non-linear cortical registration
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An overlap invariant entropy measure of 3D medical image alignment
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Atlas-based segmentation of bone structures to support the virtual planning of hip operations
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Nonlinear anisotropic filtering of MRI data
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Automated model-based tissue classification of MR images of the brain
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Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. I. Methodology and validation on normal subjects
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Parametric estimate of intensity inhomogeneities applied to MRI
inferredcites →https://doi.org/10.1109/icip.2001.958315openalex-snapshot
Automatic segmentation of internal structures of the brain in MR images using a tandem of affine and non-rigid registration of an anatomical brain atlas
inferredcites →https://doi.org/10.1109/jproc.2003.817883openalex-snapshot
Fuzzy connectedness and image segmentation
inferredcites →https://doi.org/10.1109/tmi.2002.803119openalex-snapshot
An accurate and efficient Bayesian method for automatic segmentation of brain MRI
inferredcites →https://doi.org/10.1109/tpami.2002.1046162openalex-snapshot
Relative fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation
inferredcites →https://doi.org/10.1117/12.483558openalex-snapshot
Segmentation of three-dimensional images using non-rigid registration: methods and validation with application to confocal microscopy images of bee brains
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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