Ipek Oguz
Assistant Professor of Computer Science
Assistant Professor of Electrical and Computer Engineering
Computer Science
Electrical and Computer Engineering
Biomedical Engineering
Intellectual Neighborhoods
Research Focus
I
work on creating new methods for medical image analysis. My technical expertise
and interests are focused on graph theoretic techniques for structural image
analysis with particular emphasis on longitudinal imaging studies and machine
learning. My method development work in these areas is driven by biological
problems in three application domains: neuroimaging, ophthalmic imaging, and
obstetric imaging.
Biography
Ipek
Oguz is an Assistant Professor in the Department of Electrical Engineering and
Computer Science at Vanderbilt University. She received her Ph.D. in
Computer Science at the University of North Carolina at Chapel Hill. Prior
to joining Vanderbilt, she worked in the Penn Image Computing and Science
Laboratory (PICSL) and Center for Biomedical Image Computing and Analytics
(CBICA) at the University of Pennsylvania as well as in the Iowa Institute
for Biomedical Imaging (IIBI) at the University of Iowa. Her research is in the
field of medical image analysis and specifically in the development of
novel methodology for quantitative medical image analysis, with applications
to neuroimaging, including Huntington’s disease and multiple sclerosis, as
well as ophthalmic and obstetric imaging. Her technical interests include
graph-based segmentation methods, longitudinal studies and machine
learning. She has co-authored more than 50 peer-reviewed journal
and conference publications. She is an executive in the Women in MICCAI
Committee and a co-chair of IPMI 2017.