People
Your search for Keyword: 'Dementia' returned 27 Result(s)
Click on keyword to search
Dr Lucia Ballerini
I am a researcher in image analysis. I developed theoretical and application oriented methods. I have been working with different kind of images: medical, food, radar, robotic and forensic images. Recently I worked with skin lesion images and retinal images. See my 100+ publications (google scholar or researchgate) for more details
I am presently working MR brain images.
Mr Thomas Biggans
Dr Una Clancy
I am analysing subtle symptoms of cerebral SVD in in relation to imaging correlates, which is important in order to translate radiological evidence of ‘silent’ SVD into clinically significant outcomes. I am characterising these symptoms in relation to progression of SVD radiologically based on longitudinal disease progression on MRI. This work will allow us to identify those individuals with early features of SVD, before significant disease progression occurs. Identifying the disease early will be central to future dementia and stroke prevention. I am currently involved in the Mild Stroke Study 3, the R4VaD Study and the LACI-2 Study.
Supervisors: Prof. Joanna Wardlaw and Dr Fergus Doubal
Dr Simon R. Cox
Dr Amir Dehsarvi
Classification, Cartesian Genetic Programming, Evolutionary Algorithms, Machine Learning, MRI/fMRI data analysis, Mediation Analysis, and Neurodegenerative Diseases Diagnosis (Biomarkers) and Monitoring.
Sean Denham
Dr David Alexander Dickie
Structural brain ageing
White matter disease
Cognitive ageing
Stroke
Image Analysis
Alzheimer's disease and other dementias
Miss Emma Elliott
Dr Javier Escudero
In my research, I create and apply data analysis tools to extract information from biomedical signals and clinical time series.
My main aim is to reveal the subtle changes that major diseases (e.g., Alzheimer's and epilepsy) cause in the brain activity.
In collaboration with researchers at Edinburgh, across the UK and overseas, I am currently working in the processing and analysis of biomedical signals, particularly human brain activity. By developing and applying signal processing methods, I aim at increasing our understanding of how several brain conditions progress. Of particular interest is the evaluation of brain functional connectivity in both neurodevelopmental and neurodegenerative diseases to understand how they affect the way in which different brain regions interact with each other. I am also interested in the interplay between structure and function in the brain and in the application of pattern recognition techniques to highly-dimensional clinical datasets to support decision making. Finally, I also work in the development of non-invasive methods for rehabilitation purposes, being either the dexterous controls prostheses for amputees or brain-computer interfaces.
For additional information, please see: http://www.research.ed.ac.uk/portal/jescuder
