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Frontiers in Neuroinformatics|February 7, 2022
Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine LearningVaanathi Sundaresan, Christoph Arthofer, Giovanna Zamboni, et al.
Stroke|February 4, 2016
Association of MTHFR C677T Genotype With Ischemic Stroke Is Confined to Cerebral Small Vessel Disease SubtypeLoes C A Rutten-Jacobs, Matthew Traylor, Poneh Adib-Samii, et al.
Neuroimage. Clinical|July 31, 2022
Determining the OPTIMAL DTI analysis method for application in cerebral small vessel diseaseMarco Egle, Saima Hilal, Anil M Tuladhar, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|July 23, 2015
Consensus statement for diagnosis of subcortical small vessel diseaseGary A Rosenberg, Anders Wallin, Joanna M Wardlaw, et al.
Clinical Science (London, England : 1979)|May 11, 2017
Using DTI to assess white matter microstructure in cerebral small vessel disease (SVD) in multicentre studiesIain D Croall, Valerie Lohner, Barry Moynihan, et al.
European Stroke Journal|November 8, 2021
ESO guideline for the management of extracranial and intracranial artery dissectionStephanie Debette, Mikael Mazighi, Philippe Bijlenga, et al.
Cerebral Circulation - Cognition and Behavior|August 18, 2023
Predicting incident dementia in cerebral small vessel disease: comparison of machine learning and traditional statistical modelsRui Li, Eric L Harshfield, Steven Bell, et al.
Neurology|January 20, 2019
Genetic variation in PLEKHG1 is associated with white matter hyperintensities (n = 11,226)Matthew Traylor, Daniel J Tozer, Iain D Croall, et al.
European Stroke Journal|November 8, 2021
European Stroke Organisation and European Academy of Neurology joint guidelines on post-stroke cognitive impairmentTerence J Quinn, Edo Richard, Yvonne Teuschl, et al.
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