LOGISMOS--layered optimal graph image segmentation of multiple objects and surfaces: cartilage segmentation in the knee joint. - Wikidata - awgldk - TriplyDB

LOGISMOS--layered optimal graph image segmentation of multiple objects and surfaces: cartilage segmentation in the knee joint.

LOGISMOS--layered optimal graph image segmentation of multiple objects and surfaces: cartilage segmentation in the knee joint.

http://www.wikidata.org/entity/Q35090406

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DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research On the use of coupled shape priors for segmentation of magnetic resonance images of the knee.Automatic segmentation of high- and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative.Intra-operative assessment of fractured articular surfaces in cone beam CT image data.Machine learning in a graph framework for subcortical segmentation.Optimal multiple surface segmentation with shape and context priors Optimal graph search based segmentation of airway tree double surfaces across bifurcations.Development of a rapid knee cartilage damage quantification method using magnetic resonance images.LOGISMOS-B: layered optimal graph image segmentation of multiple objects and surfaces for the brain.Multi-surface and multi-field co-segmentation of 3-D retinal optical coherence tomography.Subvoxel accurate graph search using non-Euclidean graph space.Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data LOGISMOS-B for Primates: Primate Cortical Surface Reconstruction and Thickness Measurement.Validity of Automated Choroidal Segmentation in SS-OCT and SD-OCT Reliability of semiautomated computational methods for estimating tibiofemoral contact stress in the Multicenter Osteoarthritis Study.Quantitative imaging biomarkers: the application of advanced image processing and analysis to clinical and preclinical decision making Three-dimensional segmentation of fluid-associated abnormalities in retinal OCT: probability constrained graph-search-graph-cut Semiautomated segmentation of head and neck cancers in 18F-FDG PET scans: A just-enough-interaction approach.Reproducibility of diabetic macular edema estimates from SD-OCT is affected by the choice of image analysis algorithm.RATS: Rapid Automatic Tissue Segmentation in rodent brain MRI.4D Graph-Based Segmentation for Reproducible and Sensitive Choroid Quantification From Longitudinal OCT Scans.Imaging research results from the osteoarthritis initiative (OAI): a review and lessons learned 10 years after start of enrolment.Fully automated segmentation of cartilage from the MR images of knee using a multi-atlas and local structural analysis method Optimal co-segmentation of tumor in PET-CT images with context information.Automatic segmentation of the glenohumeral cartilages from magnetic resonance images.Automatic atlas-based three-label cartilage segmentation from MR knee images.Non-invasive endothelial function assessment using digital reactive hyperaemia correlates with three-dimensional intravascular ultrasound and virtual histology-derived plaque volume and plaque phenotype.Contour interpolated radial basis functions with spline boundary correction for fast 3D reconstruction of the human articular cartilage from MR images.Automated analysis of hip joint cartilage combining MR T2 and three-dimensional fast-spin-echo images.Lung segmentation refinement based on optimal surface finding utilizing a hybrid desktop/virtual reality user interface.Graph-based IVUS segmentation with efficient computer-aided refinement AUTOMATIC MULTI-ATLAS-BASED CARTILAGE SEGMENTATION FROM KNEE MR IMAGES.Simultaneous Registration of Location and Orientation in Intravascular Ultrasound Pullbacks Pairs Via 3D Graph-Based Optimization A method for avoiding overlap of left and right lungs in shape model guided segmentation of lungs in CT volumes.Surface-region context in optimal multi-object graph-based segmentation: robust delineation of pulmonary tumors.Plaque volume and plaque risk profile in diabetic vs. non-diabetic patients undergoing lipid-lowering therapy: a study based on 3D intravascular ultrasound and virtual histology.Knee cartilage segmentation and thickness computation from ultrasound images.Segmenting patients and physicians using preferences from discrete choice experiments.Acetabular cartilage segmentation in CT arthrography based on a bone-normalized probabilistic atlas.Gradient Boosted Trees for Corrective Learning

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LOGISMOS--layered optimal graph image segmentation of multiple objects and surfaces: cartilage segmentation in the knee joint.

http://www.wikidata.org/entity/Q35090406

description

2010 nî lūn-bûn

@nan

2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի հուլիսին հրատարակված գիտական հոդված

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2010年の論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年论文

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name

LOGISMOS--layered optimal grap ...... egmentation in the knee joint.

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LOGISMOS--layered optimal grap ...... egmentation in the knee joint.

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type

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LOGISMOS--layered optimal grap ...... egmentation in the knee joint.

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LOGISMOS--layered optimal grap ...... egmentation in the knee joint.

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LOGISMOS--layered optimal grap ...... egmentation in the knee joint.

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LOGISMOS--layered optimal grap ...... egmentation in the knee joint.

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P1433

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TMI.2010.2058861

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IEEE Transactions on Medical Imaging

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LOGISMOS--layered optimal grap ...... egmentation in the knee joint.

@en

P2093

Milan Sonka

http://www.w3.org/2001/XMLSchema#string

Rachel Williams

http://www.w3.org/2001/XMLSchema#string

Xiangmin Zhang

http://www.w3.org/2001/XMLSchema#string

Xiaodong Wu

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Yin Yin

http://www.w3.org/2001/XMLSchema#string

P2860

Inter-subject comparison of MRI knee cartilage thickness

Automated 3-D intraretinal layer segmentation of macular spectral-domain optical coherence tomography images.

Magnetic resonance imaging (MRI) of articular cartilage in knee osteoarthritis (OA): morphological assessment.

Optimal surface segmentation in volumetric images--a graph-theoretic approach.

Automatic segmentation and quantitative analysis of the articular cartilages from magnetic resonance images of the knee.

Efficient segmentation by sparse pixel classification.

Reliability of a quantification imaging system using magnetic resonance images to measure cartilage thickness and volume in human normal and osteoarthritic knees.

Coupled shape distribution-based segmentation of multiple objects.

Incorporation of regional information in optimal 3-D graph search with application for intraretinal layer segmentation of optical coherence tomography images.

Simultaneous segmentation of multiple closed surfaces using optimal graph searching.

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2023-2037

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scholarly article

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10.1109/TMI.2010.2058861

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12

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29

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Donald D Anderson

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2010-07-19T00:00:00Z

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20643602

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3131162

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