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Diagnostic tools for detection of early stages of Alzheimer's disease using graph measures
Using advanced evolutionary algorithms we proposed an optimisation method that can be used effectively in neuroimaging analysis, in particular diagnosis of early mild cognitive impairment (EMCI).
Comparison of structural differences in health and Alzheimer’s disease
We segmented the cortical and subcortical brain areas of the healthy participants and patients with Alzheimer's disease into more than 100 distinct areas. Comparing these volumetric data we investigated which brain areas are most affected.
Using particle swarm optimisation in diagnosis of early cognitive decline
We propose a novel and effective method in diagnosis of early signs of cognitive decline using a multi-objective optimisation method. We applied particle swarm optimisation (PSO) to structural MRI images to classify participants into two groups of early mild cognitive impairment (EMCI) and healthy participants.