Automated white matter total lesion volume segmentation in diabetes. - Test2 - elhamkhani - TriplyDB

Automated white matter total lesion volume segmentation in diabetes.

Automated white matter total lesion volume segmentation in diabetes.

http://www.wikidata.org/entity/Q33687422

about

Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review.White matter hyperintensities, cognitive impairment and dementia: an update.Microstructural integrity of white matter tracts amongst older fallers: A DTI study.Cerebral structural changes in diabetic kidney disease: African American-Diabetes Heart Study MIND.Heritability and genetic association analysis of neuroimaging measures in the Diabetes Heart Study Structural and functional assessment of the brain in European Americans with mild-to-moderate kidney disease: Diabetes Heart Study-MIND.Relationships between Cognitive Performance, Neuroimaging and Vascular Disease: The DHS-MIND Study.Subclinical Atherosclerosis Is Inversely Associated With Gray Matter Volume in African Americans With Type 2 Diabetes.Associations between anxiety and depression symptoms and cognitive testing and neuroimaging in type 2 diabetes.Analysis of advanced glycation end products in the DHS Mind Study.Analysis of the relationships between type 2 diabetes status, glycemic control, and neuroimaging measures in the Diabetes Heart Study Mind.Effects of Type 2 Diabetes on Brain Structure and Cognitive Function: African American-Diabetes Heart Study MIND.Diagnostic value of MRS-quantified brain tissue lactate level in identifying children with mitochondrial disorders.Associations of Early Kidney Disease With Brain Magnetic Resonance Imaging and Cognitive Function in African Americans With Type 2 Diabetes Mellitus.Memory impairment in occipital periventricular hyperintensity patients is associated with reduced functional responses in the insula and Heschl's gyrus.Regional Gray Matter Atrophy Coexistent with Occipital Periventricular White Matter Hyper Intensities.White Matter Hyperintensity Load Modulates Brain Morphometry and Brain Connectivity in Healthy Adults: A Neuroplastic Mechanism?APOL1 renal-risk variants associate with reduced cerebral white matter lesion volume and increased gray matter volume.APOE Genotypes Associate With Cognitive Performance but Not Cerebral Structure: Diabetes Heart Study MIND.Cerebral structure and cognitive performance in African Americans and European Americans with type 2 diabetes.Cognitive impairment and hippocampal atrophy in chronic kidney disease.Lesion filling effect in regional brain volume estimations: a study in multiple sclerosis patients with low lesion load.

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Automated white matter total lesion volume segmentation in diabetes.

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2013 nî lūn-bûn

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2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած

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2013 թվականի հուլիսին հրատարակված գիտական հոդված

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2013年の論文

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Automated white matter total lesion volume segmentation in diabetes.

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American Journal of Neuroradiology

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Automated white matter total lesion volume segmentation in diabetes

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B I Freedman

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B N Saha

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C T Whitlow

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P2860

Voxel-based morphometry--the methods

Brain imaging in patients with diabetes: a systematic review.

The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis

Association of MRI markers of vascular brain injury with incident stroke, mild cognitive impairment, dementia, and mortality: the Framingham Offspring Study

Progression of cerebral atrophy and white matter hyperintensities in patients with type 2 diabetes.

Age-related cerebral white matter disease (leukoaraiosis): a review.

Association between pathological and MRI findings in multiple sclerosis.

Review of the Diabetes Heart Study (DHS) family of studies: a comprehensively examined sample for genetic and epidemiological studies of type 2 diabetes and its complications.

Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus

Cerebral white matter hyperintensity in African Americans and European Americans with type 2 diabetes

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10.3174/AJNR.A3590

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Joseph A. Maldjian

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