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Wilhelm Küker

Researcher at University of Oxford

Publications -  194
Citations -  9159

Wilhelm Küker is an academic researcher from University of Oxford. The author has contributed to research in topics: Stroke & Magnetic resonance imaging. The author has an hindex of 46, co-authored 194 publications receiving 8009 citations. Previous affiliations of Wilhelm Küker include Li Ka Shing Faculty of Medicine, University of Hong Kong & University of Tübingen.

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The Anatomy of Spatial Neglect based on Voxelwise Statistical Analysis: A Study of 140 Patients

TL;DR: The results demonstrate that the right superior temporal cortex, the insula and subcortically putamen and caudate nucleus are the neural structures damaged significantly more often in patients with spatial neglect.
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Neuromyelitis optica spectrum disorders with aquaporin-4 and myelin-oligodendrocyte glycoprotein antibodies: a comparative study.

TL;DR: Patients with MOG-Abs can fulfill the diagnostic criteria for NMO, but there are differences when compared with those with AQP4-Abs, which include a higher proportion of males, younger age, and greater likelihood of involvement of the conus and deep gray matter structures on imaging.
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Incidence, outcome, risk factors, and long-term prognosis of cryptogenic transient ischaemic attack and ischaemic stroke: a population-based study

TL;DR: The clinical burden of cryptogenic TIA and stroke is substantial and stroke recurrence rates are comparable with other subtypes, but cryptogenic events have the fewest atherosclerotic markers and no excess of cardioembolic markers.
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Primary central nervous system lymphomas (PCNSL): MRI features at presentation in 100 patients

TL;DR: Pre-treatment MRI examinations of 100 immunologically competent patients with biopsy-proven PCNSL revealed a uniformly pathologic pattern of metabolite concentrations in all patients, and DW-MRI and proton spectroscopy may aid in differential diagnosis.
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BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities.

TL;DR: The findings suggest that BIANCA, which will be freely available as part of the FSL package, is a reliable method for automated WMH segmentation in large cross-sectional cohort studies.