Waymont, Jennifer M. J.Petsa, CharikliaMcNeil, Chris J.Murray, Alison D.Waiter, Gordon D.2021-09-132021-09-132020-02-01Waymont, J M J, Petsa, C, McNeil, C J, Murray, A D & Waiter, G D 2020, 'Validation and comparison of two automated methods to quantify brain white matter hyperintensities of presumed vascular origin', Journal of International Medical Research, vol. 48, no. 2, pp. 1-12. https://doi.org/10.1177/03000605198800530300-0605ORCID: /0000-0001-6688-7132/work/95106507ORCID: /0000-0002-5313-9845/work/64218644ORCID: /0000-0003-4915-4847/work/76976615ORCID: /0000-0001-6688-7132/work/96652520ORCID: /0000-0001-6688-7132/work/95106507https://hdl.handle.net/2164/17058Funding Data collection was funded by grants from the Alzheimer’s Research Trust (now Alzheimer’s Research UK, grant reference: ART/SPG2003B), Alzheimer’s Research UK (grant reference: ARUK-SB2012B-2), the University of Aberdeen Development Trust (grant reference RGB3109) and NHS Grampian and the Chief Scientist’s Office (grant reference: CAF/08/08). JMJW is funded by the University of Aberdeen Development Trust and TauRx Therapeutics Ltd. CP is funded by Royal Surrey County Hospital NHS Foundation Trust. CJM, ADM, and GDW are funded by the Scottish Funding Council.12854532engwhite matter hyperintensitylesion segmentationcerebral small vessel diseasebrain ageingmethodologyvalidationWhite matter hyperintensityLESION SEGMENTATIONbrain agingRATING-SCALER Medicine (General)Chief Scientist Office (CSO)CAF/08/08Alzheimers Research UKART/SPG2003BARUK-SB2012B-2OtherRGB3109R1Journal article10.1177/0300060519880053482