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22 results on '"Doubal, Fergus N."'

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1. Advanced MRI in cerebral small vessel disease.

2. Big data and data repurposing - using existing data to answer new questions in vascular dementia research.

4. Plasma Biomarkers of Inflammation, Endothelial Function and Hemostasis in Cerebral Small Vessel Disease.

5. Enlarged perivascular spaces and cerebral small vessel disease.

6. Lack of Association of White Matter Lesions with Ipsilateral Carotid Artery Stenosis.

7. Little Association between Intracranial Arterial Stenosis and Lacunar Stroke.

8. Retinal arteriolar geometry is associated with cerebral white matter hyperintensities on magnetic resonance imaging F. N. Doubal et al. Research.

9. Characteristics of patients with minor ischaemic strokes and negative MRI: a cross-sectional study.

10. Neuroimaging standards for research into small vessel disease—advances since 2013.

11. Retinal capillary microvessel morphology changes are associated with vascular damage and dysfunction in cerebral small vessel disease.

12. Associations of Peak-Width Skeletonized Mean Diffusivity and Post-Stroke Cognition.

13. Relationship between inferior frontal sulcal hyperintensities on brain MRI, ageing and cerebral small vessel disease.

14. Perivascular spaces in the brain: anatomy, physiology and pathology.

15. Small vessel disease is associated with altered cerebrovascular pulsatility but not resting cerebral blood flow.

16. Retinal microvasculature and cerebral small vessel disease in the Lothian Birth Cohort 1936 and Mild Stroke Study.

17. Lateral thinking - Interocular symmetry and asymmetry in neurovascular patterning, in health and disease.

18. A comparison of location of acute symptomatic vs. 'silent' small vessel lesions.

19. Suitability of UK Biobank Retinal Images for Automatic Analysis of Morphometric Properties of the Vasculature.

20. Use of dynamic contrast-enhanced MRI to measure subtle blood–brain barrier abnormalities

21. Visual Neglect Following Stroke: Current Concepts and Future Focus

22. A multimodal approach to cardiovascular risk stratification in patients with type 2 diabetes incorporating retinal, genomic and clinical features.

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