About: CURVES: curve evolution for vessel segmentation

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scientific article published on 01 September 2001

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована у вересні 2001 (uk) im September 2001 veröffentlichter wissenschaftlicher Artikel (de) artículu científicu espublizáu en setiembre de 2001 (ast) scientific article published on 01 September 2001 (en)
publication date	wds:Q62493916-00C77B16-1103-4241-A3F9-86F5B4B67158
publication date	2001-09-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q62493916-93E32A83-A744-44FA-BC4B-F23ED9434A13
language of work or name	English
cites work	wds:Q62493916-28C27D22-CD6A-4B22-970B-CE75858A2DA7 wds:Q62493916-3FCA959D-4BB5-4E77-BEB4-65EF509595E2 wds:Q62493916-6A0546F2-D7F3-4183-9299-CC907AB82E0A wds:Q62493916-89D63ED3-F5CD-4381-B7D9-468188198831 wds:Q62493916-997D6065-504A-444D-A3E6-699F8340A8A2 wds:Q62493916-A96169E7-341A-4F49-AD6D-4D6537CCA5D9 wds:Q62493916-ACACD5A3-334C-4CA9-B4DC-442FEA22B93B wds:Q62493916-B0A69C28-A1D2-44F7-A47A-76F9D8D90939 wds:Q62493916-D4068385-6E41-4AAC-BE85-1BC494D571FB wds:Q62493916-D84F932A-569E-4321-A396-51A0E2E9C772 wds:Q62493916-E62658BD-8BD7-4FA7-BCF8-D9F6118AEEC4 wds:Q62493916-E9B5BCFF-CF5D-4B47-B999-B2D6B449FC8C
cites work	Scale-space and edge detection using anisotropic diffusion A Variational Level Set Approach to Multiphase Motion Snakes: Active contour models Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images Model-Based Detection of Tubular Structures in 3D Images Geodesic Active Contours Deformable models in medical image analysis: a survey T-snakes: topology adaptive snakes Introduction to the special issue on partial differential equations and geometry-driven diffusion in image processing and analysis. The heat equation shrinking convex plane curves The heat equation shrinks embedded plane curves to round points Shortening space curves and flow through singularities
author name string	wds:Q62493916-1BEA172F-B02F-4EFB-814E-0460EFE5DC4D wds:Q62493916-1E2C7DB5-F918-4955-A071-9EF69FF2EA0B wds:Q62493916-7788B9EE-1751-4564-8196-DF5CFEA663C9 wds:Q62493916-7A49D2B5-B1D6-42EA-A0F3-58CC8ECC7E83 wds:Q62493916-8E05B9A1-9517-43E9-BE46-FC2F0732DEBE wds:Q62493916-CB4A550D-7744-496E-B3E1-EF034A7E056C wds:Q62493916-E95C426B-52E4-4234-A0D8-7C5E8F6210A3
author name string	R Kikinis A Nabavi C F Westin O D Faugeras L M Lorigo R Keriven W E Grimson
rdfs:label	CURVES: curve evolution for vessel segmentation (en) CURVES: curve evolution for vessel segmentation (nl)
skos:prefLabel	CURVES: curve evolution for vessel segmentation (en) CURVES: curve evolution for vessel segmentation (nl)
name	CURVES: curve evolution for vessel segmentation (en) CURVES: curve evolution for vessel segmentation (nl)
title	wds:Q62493916-BD0B3A9B-C62E-4065-AE53-76306F06EDC1
title	CURVES: curve evolution for vessel segmentation (en)
page(s)	wds:Q62493916-81F09612-0A86-4C62-994F-EA4551E88B90
page(s)	195-206
instance of	wds:Q62493916-BBBAAD73-0AFE-4A11-A73E-EC7A0FB34EF9
instance of	scholarly article
PubMed ID	wds:Q62493916-74BD6EB9-1A0A-443E-8650-6A944B9F2112
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/11524226
PubMed ID	11524226
DBLP publication ID	wds:Q62493916-977968E9-F3C3-4CFB-933C-0D55A33F6544
DBLP publication ID	https://dblp.org/rec/journals/mia/LorigoFGKKNW01
DBLP publication ID	journals/mia/LorigoFGKKNW01
published in	wds:Q62493916-54EB3756-581E-44C4-BDF0-1B07446746D9
published in	Medical Image Analysis
issue	wds:Q62493916-5BBC4393-4AF2-4803-AF5C-9A9BFEE95E08
volume	wds:Q62493916-08B0F36B-23AD-400E-BB19-4DBDA3EA30D1
issue	3
volume	5
DOI	wds:Q62493916-7A6E2657-7E40-4C4B-9A6A-D8C627F847CE
DOI	http://dx.doi.org/10.1016/S1361-8415(01)00040-8
DOI	10.1016/S1361-8415(01)00040-8
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q62493916
is cites work of	An image-based modeling framework for patient-specific computational hemodynamics. 3D vasculature segmentation using localized hybrid level-set method Evaluation of an improved technique for automated center lumen line definition in cardiovascular image data Segmentation of Pulmonary Vascular Trees from Thoracic 3D CT Images The emerging discipline of Computational Functional Anatomy. 3D actin network centerline extraction with multiple active contours Automatic multiscale enhancement and segmentation of pulmonary vessels in CT pulmonary angiography images for CAD applications Analyzing attributes of vessel populations A 3D model of human cerebrovasculature derived from 3T magnetic resonance angiography A new segmentation framework based on sparse shape composition in liver surgery planning system Automated quantification of carotid artery stenosis on contrast-enhanced MRA data using a deformable vascular tube model CAD of colon cancer on CT colonography cases without cathartic bowel preparation Semiautomated segmentation of blood vessels using ellipse-overlap criteria: method and comparison to manual editing Automated coronary artery tree extraction in coronary CT angiography using a multiscale enhancement and dynamic balloon tracking (MSCAR-DBT) method Coronary artery segmentation using geometric moments based tracking and snake-driven refinement Robust Segmentation of the Full Cerebral Vasculature in 4D CT of Suspected Stroke Patients. SimVascular: An Open Source Pipeline for Cardiovascular Simulation VESSEL CENTERLINE TRACKING AND BOUNDARY SEGMENTATION IN CORONARY MRA WITH MINIMAL MANUAL INTERACTION. Level set-based integration of segmentation and computational fluid dynamics for flow correction in phase contrast angiography A non-parametric vessel detection method for complex vascular structures Evaluation of an improved technique for lumen path definition and lumen segmentation of atherosclerotic vessels in CT angiography. Generating anatomical models of the heart and the aorta from medical images for personalized physiological simulations. Computerized analysis of coronary artery disease: performance evaluation of segmentation and tracking of coronary arteries in CT angiograms Vascular masking for improved unfolding in 2D SENSE-accelerated 3D contrast-enhanced MR angiography

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