Serge Dumoulin, Ph.D.
Utrecht University, the Netherlands
Dr. Sjoerd Vos, Ph.D.
Ever since the first in vivo MR measurements of anisotropic water diffusion in neuronal tissue, diffusion MRI is seen as having a great potential to investigate brain development, aging, and pathologies. To fulfill this potential, the entire diffusion MRI pipeline must be considered critically� from defining the research question, through data acquisition, analysis methods, and statistics to interpretation of results. The aim of my thesis was to improve this process, to make diffusion MRI a more sensitive and specific research tool.
Jaakko Nieminen, PhD
Department of Biomedical Engineering and Computational Science,
Aalto University School of Science, Espoo, Finland
Tali Sharot, PhD
University College of London
Nancy Kanwisher (MIT)
Blaise Frederick, Ph.D.
Extracting quantitative cerebral hemodynamic measures and removing physiological noise from BOLD fMRI data using time delay processing
Natalia Egorova, Ph.D. Candidate
David Somers, PhD
Professor, Boston University
Christian Langkammer, Ph.D.
Medical University of Graz, Austria
Bhisma Chakrabarti, Ph.D.
Assistant Professor in Neuroscience, School of Psychology and Clinical Language Sciences, University of Reading, UK