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Volumetric medical images segmentation using shape constrained deformable models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Active Shape Models-Their Training and Application
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Automatic Retrieval of Anatomical Structures in 3D Medical Images
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Liver Definition in CT Using a Population-Based Shape Model
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Iterative point matching for registration of free-form curves and surfaces
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Computer Vision, Virtual Reality and Robotics in Medicine
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Constraints on deformable models:Recovering 3D shape and nonrigid motion
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Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models
inferredcites →https://doi.org/10.1016/s1361-8415(96)80003-xopenalex-snapshot
Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models
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Simplex meshes: a general representation for 3D shape reconstruction
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Non-rigid matching using demons
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Automatic registration and alignment on a template of cardiac stress and rest SPECT images
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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