Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features.
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Computer Vision Techniques for Transcatheter Intervention.Evaluation of interpolation methods for surface-based motion compensated tomographic reconstruction for cardiac angiographic C-arm data.Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection.Marginal Shape Deep Learning: Applications to Pediatric Lung Field Segmentation.4-D cardiac MR image analysis: left and right ventricular morphology and functionEvaluation of a multi-atlas based method for segmentation of cardiac CTA data: a large-scale, multicenter, and multivendor study.A complete system for automatic extraction of left ventricular myocardium from CT images using shape segmentation and contour evolutionFully automated right ventricular volumetry from ECG-gated coronary CT angiography data: evaluation of prototype software.3D cardiac motion reconstruction from CT data and tagged MRI.PCG-cut: graph driven segmentation of the prostate central glandAutomatic 4D reconstruction of patient-specific cardiac mesh with 1-to-1 vertex correspondence from segmented contours linesRapid manufacturing techniques for the tissue engineering of human heart valves.Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart.Variational Reconstruction of Left Cardiac Structure from CMR ImagesMyocardial perfusion analysis in cardiac computed tomography angiographic images at rest.A framework of whole heart extracellular volume fraction estimation for low-dose cardiac CT images.Automatic detection and quantification of tree-in-bud (TIB) opacities from CT scansComputational modelling of the right ventricle in repaired tetralogy of Fallot: can it provide insight into patient treatment?Automatic segmentation of the left atrium from MRI images using salient feature and contour evolution.Automated quantification of mitral regurgitation by three dimensional real time full volume color Doppler transthoracic echocardiography: a validation with cardiac magnetic resonance imaging and comparison with two dimensional quantitative methodsRobust infrarenal aortic aneurysm lumen centerline detection for rupture status classification.An automatic service for the personalization of ventricular cardiac meshes.Fitting C² continuous parametric surfaces to frontiers delimiting physiologic structures.Automatic delineation of the myocardial wall from CT images via shape segmentation and variational region growing.Automatic segmentation of the left atrium from MR images via variational region growing with a moments-based shape prior.Generating anatomical models of the heart and the aorta from medical images for personalized physiological simulations.Challenges and methodologies of fully automatic whole heart segmentation: a review.Similarity enhancement for automatic segmentation of cardiac structures in computed tomography volumes.Automatic cardiac segmentation using semantic information from random forests.Image-Based Personalization of Cardiac Anatomy for Coupled Electromechanical Modeling.Machine learning-based 3-D geometry reconstruction and modeling of aortic valve deformation using 3-D computed tomography images.Fast left ventricle tracking using localized anatomical affine optical flow.Automated detection of coarctation of aorta in neonates from two-dimensional echocardiograms.Noninvasive hemodynamic assessment, treatment outcome prediction and follow-up of aortic coarctation from MR imaging.An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework.Comprehensive Modeling and Visualization of Cardiac Anatomy and Physiology from CT Imaging and Computer Simulations.Landmark constellation models for medical image content identification and localization.Collaborative regression-based anatomical landmark detection.Patient-specific modelling of whole heart anatomy, dynamics and haemodynamics from four-dimensional cardiac CT images.CT scan range estimation using multiple body parts detection: let PACS learn the CT image content.
P2860
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P2860
Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh-hant
name
Four-chamber heart modeling an ...... arning and steerable features.
@en
Four-chamber heart modeling an ...... arning and steerable features.
@nl
type
label
Four-chamber heart modeling an ...... arning and steerable features.
@en
Four-chamber heart modeling an ...... arning and steerable features.
@nl
prefLabel
Four-chamber heart modeling an ...... arning and steerable features.
@en
Four-chamber heart modeling an ...... arning and steerable features.
@nl
P2093
P356
P1476
Four-chamber heart modeling an ...... arning and steerable features.
@en
P2093
Adrian Barbu
Bogdan Georgescu
Dorin Comaniciu
Michael Scheuering
Yefeng Zheng
P304
P356
10.1109/TMI.2008.2004421
P577
2008-11-01T00:00:00Z