Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI data.

"Conflicts of Interest: The authors declare that there are no conflicts of interest."

"Acknowledgment: This work was funded by EPSRC through a studentship from the Sci-Phy-4-Health CDT (EP/L016346/1) and the National Institute for Health Research (NIHR) via a research professorship (RP-R2-12-019). Also, the work has been partially funded by the Children’s Research Fund, Help Harry Help Others (HHHO), Cancer Research UK, NIHR, the Experimental Cancer Medicine Centre Pediatric Network (C8232/A25261), the Children’s Cancer Fund, the Little Princess Trust and HDR UK (HDR-3001). HDR UK is funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation and Wellcome Trust."