Detail Information
Publications
Random forest-based similarity measures for multi-modal classification of Alzheimer's diseaseKatherine R Gray
Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK
Neuroimage 65:167-75. 2013..Random forest classifiers extend naturally to multi-class problems, and the framework described here could be applied to distinguish between multiple patient groups in the future...
Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's diseaseKatherine R Gray
Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK
Neuroimage 60:221-9. 2012..This finding may be usefully applied in the diagnosis of Alzheimer's disease, predicting disease course in individuals with mild cognitive impairment, and in the selection of participants for clinical trials...
