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Dimitri Van de Ville is a leader in the field of medical image processing. His research primarily focuses on developing new methodologies for analyzing complex neuroimaging data, particularly data obtained from functional magnetic resonance imaging (fMRI), laser Doppler imaging, and electroencephalography (EEG). He emphasizes the use of wavelet transforms and machine learning techniques to enhance the analysis of functional brain imaging data. One of his significant contributions is in the application of sophisticated statistical methods, such as blind source separation and general linear models, to delineate intrinsic brain activity. His work aims to bridge theoretical advances with practical applications in neurosciences and medical imaging, facilitating collaborations across various interdisciplinary laboratories, including the Laboratory of Neurology and Imaging of Cognition and the Functional Brain Mapping Lab. His research is affiliated with the Brain Behaviour Laboratory, the Center for Biomedical Imaging, and the Interfaculty Center for Affective Sciences in Geneva.
Includes Department of Management, Finance, Economics, and Statistics programs. GMAT is strongly encouraged but not mandatory for most GSEM masters.