Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images. - Wikidata - wikimedia - TriplyDB

Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images.

Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images.

http://www.wikidata.org/entity/Q40803146

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Automated segmentation of chronic stroke lesions using LINDA: Lesion identification with neighborhood data analysis.Study protocol: Insight 46 - a neuroscience sub-study of the MRC National Survey of Health and Development.Targeting Cognitive Impairment in Multiple Sclerosis-The Road toward an Imaging-based Biomarker T1- Thresholds in Black Holes Increase Clinical-Radiological Correlation in Multiple Sclerosis Patients.Clinical relevance of brain atrophy assessment in multiple sclerosis. Implications for its use in a clinical routine.Effect of Fingolimod on Brain Volume Loss in Patients with Multiple Sclerosis.Quantifying brain volumes for Multiple Sclerosis patients follow-up in clinical practice - comparison of 1.5 and 3 Tesla magnetic resonance imaging.Automated brain volumetrics in multiple sclerosis: a step closer to clinical application Automated Detection of Lupus White Matter Lesions in MRI Reliability of measuring regional callosal atrophy in neurodegenerative diseases.Analysis of ageing-associated grey matter volume in patients with multiple sclerosis shows excess atrophy in subcortical regions.Two Time Point MS Lesion Segmentation in Brain MRI: An Expectation-Maximization Framework.Quantitative measures of walking and strength provide insight into brain corticospinal tract pathology in multiple sclerosis.Agreement of MSmetrix with established methods for measuring cross-sectional and longitudinal brain atrophy.Machine Learning Approach for Classifying Multiple Sclerosis Courses by Combining Clinical Data with Lesion Loads and Magnetic Resonance Metabolic Features.Intercontinental validation of brain volume measurements using MSmetrix.Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.A Novel Semiautomated Pipeline to Measure Brain Atrophy and Lesion Burden in Multiple Sclerosis: A Long-Term Comparative Study.Patch-Based Super-Resolution of MR Spectroscopic Images: Application to Multiple Sclerosis.MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?Reliable measurements of brain atrophy in individual patients with multiple sclerosis.Critical analysis on the present methods for brain volume measurements in multiple sclerosis.Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.Relationship Between Hippocampal Volume, Serum BDNF, and Depression Severity Following Electroconvulsive Therapy in Late-Life Depression.Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI.A hybrid approach based on logistic classification and iterative contrast enhancement algorithm for hyperintense multiple sclerosis lesion segmentation.Neuroinflammation and its relationship to changes in brain volume and white matter lesions in multiple sclerosis.Dual-Sensitivity Multiple Sclerosis Lesion and CSF Segmentation for Multichannel 3T Brain MRI.Volume of Structures in the Fetal Brain Measured with a New Semiautomated Method.A Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context.Automated detection of white matter hyperintensities of all sizes in cerebral small vessel disease.Automated Robust Image Segmentation: Level Set Method Using Nonnegative Matrix Factorization with Application to Brain MRI.A Fully Automated Pipeline for Normative Atrophy in Patients with Neurodegenerative Disease.Partial volume-aware assessment of multiple sclerosis lesions.A Retrospective Belgian Multi-Center MRI Biomarker Study in Alzheimer's Disease (REMEMBER).Evaluation of methods for volumetric analysis of pediatric brain data: The childmetrix pipeline versus adult-based approaches.Mononuclear cell transcriptome changes associated with dimethyl fumarate in MS

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Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images.

http://www.wikidata.org/entity/Q40803146

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2015年學術文章

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2015年學術文章

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2015年學術文章

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name

Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images.

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Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images.

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prefLabel

Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images.

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J.NICL.2015.05.003

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NeuroImage: Clinical

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Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images.

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Anke Maertens

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Annemie Ribbens

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Diana M Sima

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Dirk Smeets

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Hugo Vrenken

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Johan De Mey

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Marita Daams

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Martijn D Steenwijk

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Melissa Cambron

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Saurabh Jain

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P2860

Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria

Multiple sclerosis

Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging.

Recommendations to improve imaging and analysis of brain lesion load and atrophy in longitudinal studies of multiple sclerosis

A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions.

Segmentation of multiple sclerosis lesions in MR images: a review.

Accurate white matter lesion segmentation by k nearest neighbor classification with tissue type priors (kNN-TTPs).

Automated model-based tissue classification of MR images of the brain.

An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis.

Reducing the impact of white matter lesions on automated measures of brain gray and white matter volumes.

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367-375

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scholarly article

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10.1016/J.NICL.2015.05.003

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8

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Sabine Van Huffel

Frederik Barkhof

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2015-05-16T00:00:00Z

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276414620

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26106562

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multiple sclerosis

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4474324

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