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Parameterized feasible boundaries in gradient vector fields
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bfb0014891openalex-snapshot
Deformable templates for feature extraction from medical images
inferredcites →https://doi.org/10.1007/bfb0033757openalex-snapshot
Scale space: Its natural operators and differential invariants
inferredcites →https://doi.org/10.1109/34.166621openalex-snapshot
Boundary finding with parametrically deformable models
inferredcites →https://doi.org/10.1109/icpr.1992.201558openalex-snapshot
Model-driven contour extraction for physically deformed objects -application to analysis of stomach X-ray images
inferredcites →https://doi.org/10.1109/icpr.1992.201946openalex-snapshot
The accuracy and precision of curvature estimation methods
inferredcites →https://doi.org/10.1109/tmi.1987.4307798openalex-snapshot
Delineating Elliptical Objects with an Application to Cardiac Scintigrams
inferredcites →https://doi.org/10.1109/tpami.1986.4767750openalex-snapshot
Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-540-40899-4_50openalex-snapshot
Localization of 3D Anatomical Point Landmarks in 3D Tomographic Images Using Deformable Models
inferred← citeshttps://doi.org/10.1007/978-3-642-56714-8_35openalex-snapshot
Using Deformable Models for the Localization of 3D Anatomical Point Landmarks in 3D Tomographic Images
inferred← citeshttps://doi.org/10.1007/978-3-642-59802-9_57openalex-snapshot
A New Approach to the Localization of 3D Anatomical Point Landmarks in Medical Images Based on Deformable Models
inferred← citeshttps://doi.org/10.1007/978-94-011-5028-6_14openalex-snapshot
Integrated Deformable Boundary Finding Using Bayesian Strategies
inferred← citeshttps://doi.org/10.1007/s13369-013-0664-4openalex-snapshot
A Fast Geodesic Active Contour Model for Medical Image Segmentation Using Prior Analysis and Wavelets
inferred← citeshttps://doi.org/10.1109/42.544503openalex-snapshot
Deformable boundary finding in medical images by integrating gradient and region information
inferred← citeshttps://doi.org/10.1109/iccv.1995.466849openalex-snapshot
On multi-feature integration for deformable boundary finding
inferred← citeshttps://doi.org/10.1109/iccv.2001.937567openalex-snapshot
Automated 3D PDM construction using deformable models
inferred← citeshttps://doi.org/10.1109/mmbia.1996.534069openalex-snapshot
Deformable models in medical image analysis
inferred← citeshttps://doi.org/10.1109/tmi.2003.815864openalex-snapshot
Automated 3-D PDM construction from segmented images using deformable models
inferred← citeshttps://doi.org/10.32920/ryerson.14649837openalex-snapshot
User-defined B-Spline template snake
inferred← citeshttps://doi.org/10.32920/ryerson.14649837.v1openalex-snapshot
User-defined B-Spline template snake
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