GBM volumetry using the 3D Slicer medical image computing platform. - Wikidata - wikimedia - TriplyDB

GBM volumetry using the 3D Slicer medical image computing platform.

GBM volumetry using the 3D Slicer medical image computing platform.

http://www.wikidata.org/entity/Q36651979

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Current standards and new concepts in MRI and PET response assessment of antiangiogenic therapies in high-grade glioma patients Virtual Raters for Reproducible and Objective Assessments in Radiology Somatic mutations associated with MRI-derived volumetric features in glioblastoma Cube-cut: vertebral body segmentation in MRI-data through cubic-shaped divergences Simultaneous segmentation and iterative registration method for computing ADC with reduced artifacts from DW-MRI.Integrative analysis of diffusion-weighted MRI and genomic data to inform treatment of glioblastoma.Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software Multi-modal glioblastoma segmentation: man versus machine.Volumetric CT-based segmentation of NSCLC using 3D-Slicer Robust Radiomics feature quantification using semiautomatic volumetric segmentation.Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features The Impact of Diffusion-Weighted MRI on the Definition of Gross Tumor Volume in Radiotherapy of Non-Small-Cell Lung Cancer Glioblastoma Segmentation: Comparison of Three Different Software Packages.Interactive Volumetry Of Liver Ablation Zones.MR diffusion-weighted imaging-based subcutaneous tumour volumetry in a xenografted nude mouse model using 3D Slicer: an accurate and repeatable method.Progressive disease in glioblastoma: Benefits and limitations of semi-automated volumetry.Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software.HTC Vive MeVisLab integration via OpenVR for medical applications.Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry.Iterative-cuts: longitudinal and scale-invariant segmentation via user-defined templates for rectosigmoid colon in gynecological brachytherapy ITK-SNAP: An interactive tool for semi-automatic segmentation of multi-modality biomedical images.Population Pharmacokinetic Approach Applied to Positron Emission Tomography: Computed Tomography for Tumor Tissue Identification in Patients with Glioma.Refinement-cut: user-guided segmentation algorithm for translational science.Computer-aided position planning of miniplates to treat facial bone defects.Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images.Vertebral body segmentation with GrowCut: Initial experience, workflow and practical application.Towards precision medicine: from quantitative imaging to radiomics.Prediction of outcome using pretreatment 18F-FDG PET/CT and MRI radiomics in locally advanced cervical cancer treated with chemoradiotherapy.A modified fuzzy C-means method for segmenting MR images using non-local information.What are the true volumes of SEGA tumors? Reliability of planimetric and popular semi-automated image segmentation methods.Correlation of volumetric growth and histological grade in 50 meningiomas.Intra-rater variability in low-grade glioma segmentation.Volumetric glioma quantification: comparison of manual and semi-automatic tumor segmentation for the quantification of tumor growth.Quantitative contrast-enhanced MRI with superparamagnetic nanoparticles using ultrashort time-to-echo pulse sequences.Factors affecting capsular volume changes and association with outcomes after Bankart repair and capsular shift.Glioma imaging in Europe: A survey of 220 centres and recommendations for best clinical practice.Appearance Constrained Semi-Automatic Segmentation from DCE-MRI is Reproducible and Feasible for Breast Cancer Radiomics: A Feasibility Study.Clinical evaluation of semi-automatic open-source algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action.Quantitative image analysis for evaluation of tumor response in clinical oncology.Circulating Cell-Free DNA as a Prognostic and Molecular Marker for Patients with Brain Tumors under Perillyl Alcohol-Based Therapy.

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GBM volumetry using the 3D Slicer medical image computing platform.

http://www.wikidata.org/entity/Q36651979

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name

GBM volumetry using the 3D Slicer medical image computing platform.

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GBM volumetry using the 3D Slicer medical image computing platform.

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GBM volumetry using the 3D Slicer medical image computing platform.

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GBM volumetry using the 3D Slicer medical image computing platform.

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GBM volumetry using the 3D Slicer medical image computing platform.

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GBM volumetry using the 3D Slicer medical image computing platform.

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Scientific Reports

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GBM volumetry using the 3D Slicer medical image computing platform

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Alexandra J Golby

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

Bernd Freisleben

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James V Miller

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Jan Egger

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Ron Kikinis

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Steve Pieper

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Tina Kapur

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P2860

3D Slicer as an image computing platform for the Quantitative Imaging Network

A medical software system for volumetric analysis of cerebral pathologies in magnetic resonance imaging (MRI) data.

The WHO classification of tumors of the nervous system.

A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival.

Square-cut: a segmentation algorithm on the basis of a rectangle shape

Statistical validation of image segmentation quality based on a spatial overlap index

Pituitary adenoma volumetry with 3D Slicer.

Radiochemotherapy of malignant glioma in adults. Clinical experiences.

Manual refinement system for graph-based segmentation results in the medical domain.

An adaptive level set method for interactive segmentation of intracranial tumors.

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1364

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10.1038/SREP01364

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3

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Christopher Nimsky

Harini Veeraraghavan

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2013-01-01T00:00:00Z

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235776521

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23455483

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1303.0964

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3586703

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