Ninon BURGOS

Ninon Burgos is a CNRS researcher at Paris Brain Institute in the ARAMIS laboratory and a member of PR[AI]RIE, the Research Institute of Artificial Intelligence of PaRis. She received her Ph.D. from University College London at the Centre for Medical Image Computing under the direction of Sébastien Ourselin. She obtained an MSc in Biomedical Engineering from Imperial College London and an engineering degree from a French graduate school in Electrical and Computer Engineering (ENSEA). In 2019, she received the ERCIM Cor Baayen Award from the Young Researcher. His research focuses on the development of computational imaging tools to improve the understanding and diagnosis of dementia.

Neuroimaging offers an unparalleled description of the structure and physiology of the brain, which explains its crucial role in understanding, diagnosing and treating neurological disorders. To provide a complete picture of biological processes and their alterations, it is necessary to combine several imaging modalities. The use of these multi-modal data is a challenge for clinicians due to the large amount of information available and the difficulty in assessing departures from normal variability. While considerable progress has been made in the analysis of brain imaging data over the past decade, there is a critical need to develop new data processing models and analytical tools capable of quantitatively processing multimodal data and building flexible computer-aided systems to support clinical decisions.