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Medical image segmentation using topologically adaptable surfaces

https://doi.org/10.1007/bfb0029221
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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/bf00133570openalex-snapshot
Snakes: Active contour models
inferredcites →https://doi.org/10.1016/0004-3702(88)90080-xopenalex-snapshot
Constraints on deformable models:Recovering 3D shape and nonrigid motion
inferredcites →https://doi.org/10.1016/0262-8856(92)90065-bopenalex-snapshot
Shape representation and image segmentation using deformable surfaces
inferredcites →https://doi.org/10.1016/0895-6111(94)00040-9openalex-snapshot
A dynamic finite element surface model for segmentation and tracking in multidimensional medical images with application to cardiac 4D image analysis
inferredcites →https://doi.org/10.1016/1049-9660(92)90041-zopenalex-snapshot
Using deformable surfaces to segment 3-D images and infer differential structures
inferredcites →https://doi.org/10.1109/34.368173openalex-snapshot
Shape modeling with front propagation: a level set approach
inferredcites →https://doi.org/10.1109/cvpr.1993.340975openalex-snapshot
Modeling surfaces of arbitrary topology with dynamic particles
inferredcites →https://doi.org/10.1109/iccv.1995.466850openalex-snapshot
Topologically adaptable snakes
inferredcites →https://doi.org/10.1109/iccv.1995.466871openalex-snapshot
Geodesic active contours
inferredcites →https://doi.org/10.1109/mmbia.1996.534076openalex-snapshot
A geometric approach to segmentation and analysis of 3D medical images
inferredcites →https://doi.org/10.1145/127719.122742openalex-snapshot
Geometrically deformed models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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From medical images to anatomically accurate finite element grids
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Genetic Snakes for Medical Images Segmentation
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Cerebrovascular Segmentation by Accurate Probabilistic Modeling of TOF-MRA Images
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Automatic Cerebrovascular Segmentation by Accurate Probabilistic Modeling of TOF-MRA Images
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Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge
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A New Adaptive Probabilistic Model of Blood Vessels for Segmenting MRA Images
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Discrete Deformable Boundaries for the Segmentation of Multidimensional Images
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Fast, Accurate Unsupervised Segmentation of 3D Magnetic Resonance Angiography
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Angiographic Image Analysis
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Biomedical Imaging Informatics
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Novel Approaches to Medical Information Processing and Analysis
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Fusing Speed and Phase Information for Vascular Segmentation in Phase Contrast MR Angiograms
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An Adaptive Minimal Path Generation Technique for Vessel Tracking in CTA/CE-MRA Volume Images
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A Novel 3D Joint Markov-Gibbs Model for Extracting Blood Vessels from PC–MRA Images
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Parametric and Non-Parametric Clustering for Segmentation
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Vascular shape segmentation and structure extraction using a shape-based region-growing model
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Delaunay deformable mesh for the weathering and erosion of 3D terrain
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Three‐Dimensional Imaging
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The Brain MR Image Segmentation Techniques and use of Diagnostic Packages
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Deformable model with a complexity independent from image resolution
inferred← citeshttps://doi.org/10.1016/j.mcm.2008.07.002openalex-snapshot
From restoration by topological gradient to medical image segmentation via an asymptotic expansion
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Cerebrovascular segmentation from TOF using stochastic models
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Fusing speed and phase information for vascular segmentation of phase contrast MR angiograms
inferred← citeshttps://doi.org/10.1109/42.811277openalex-snapshot
An adaptive segmentation algorithm for time-of-flight MRA data
inferred← citeshttps://doi.org/10.1109/42.974935openalex-snapshot
Vessel surface reconstruction with a tubular deformable model
inferred← citeshttps://doi.org/10.1109/iai.2002.999927openalex-snapshot
Volumetric segmentation via 3D active shape models
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A real-time algorithm for medical shape recovery
inferred← citeshttps://doi.org/10.1109/iccv.1998.710736openalex-snapshot
Initialization of deformable models from 3D data
inferred← citeshttps://doi.org/10.1109/icip.2001.959070openalex-snapshot
An efficient method to map a regular mesh into a 3D neural network
inferred← citeshttps://doi.org/10.1109/icip.2005.1529679openalex-snapshot
Stochastic segmentation of blood vessels from time-of-flight
inferred← citeshttps://doi.org/10.1109/icip.2006.312370openalex-snapshot
Fast Unsupervised Segmentation of 3D Magnetic Resonance Angiography
inferred← citeshttps://doi.org/10.1109/icita.2005.3openalex-snapshot
A 3D Reconstruction Algorithm Based on 3D Deformable Atlas
inferred← citeshttps://doi.org/10.1109/icmlc.2011.6016988openalex-snapshot
3D Model-based method for vessel segmentation in TOF-MRA
inferred← citeshttps://doi.org/10.1109/icpr.2004.1334140openalex-snapshot
Resolution independent deformable model
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Probabilistic Modeling of Blood Vessels for Segmenting MRA Images
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Physics-based models for image analysis/synthesis and geometric design
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Deformable model with adaptive mesh and automated topology changes
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3D joint Markov-Gibbs model for segmenting the blood vessels from MRA
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Application of active contour models in medical image segmentation
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A multiscale deformable model for extracting complex surfaces from volume images
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Deformable triangular surfaces using fast 1-D radial Lagrangian dynamics-segmentation of 3-D MR and CT images of the wrist
inferred← citeshttps://doi.org/10.1109/tmi.2006.880668openalex-snapshot
Constrained Gaussian mixture model framework for automatic segmentation of MR brain images
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Neural method for three-dimensional image matching
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A review of vessel extraction techniques and algorithms
inferred← citeshttps://doi.org/10.1146/annurev.bioeng.2.1.315openalex-snapshot
Current Methods in Medical Image Segmentation
inferred← citeshttps://doi.org/10.1155/asp.2005.1939openalex-snapshot
Topological Active Volumes
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Automated detection and time lapse analysis of dendritic spines in laser scanning microscopy images
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High Resolution Mri Brain Image Segmentation Technique Using Holder Exponent
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DYNAMIC PARTICLE SYSTEMS FOR OBJECT STRUCTURE EXTRACTION
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Study of Techniques used for Medical Image Segmentation and Computation of Statistical Test for Region Classification of Brain MRI
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Modélisation dynamique et suivi de tumeur dans le volume rénal
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Filtering of thin objects : applications to vascular image analysis
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