Machine Learning Methods in Neuroimaging Problems

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Event details

Date 20.06.2016
Hour 12:15
Speaker Prof. Christos Davatzikos, University of Pennsylvania, Philadelphia, PA (USA)
Location
Category Conferences - Seminars
DISTINGUISHED LECTURE IN BIOLOGICAL ENGINEERING
(sandwiches served)

Abstract:
This talk will review work at the Center for Biomedical Image Computing and Analytics of UPenn on machine learning methods developed and applied to a number of neuroimaging problems. We review past work that focused on support vector machines to derive individualized diagnostic and predictive indices, and describe analytical approximation of statistical significance maps that allow us to highlight which imaging features are important in a classification task. We will also describe a generative-discriminative formulation for extracting discriminative imaging features via sparse non-negative matrix decompositions. We will then review current work on semi-supervised methods, aiming to capture disease heterogeneity via probabilistic mapping of imaging data of normative populations to populations with heterogeneous effects on these imaging features. Finally, we conclude with unsupervised methods aiming to summarize complex imaging data by a small and interpretable features, using resting state functional connectivity as an example. Applications to aging, Alzheimer’s Disease, Schizophrenia and brain development are used to demonstrate potential clinical utility of these methods.

Bio:
Education:
B.S. (Electrical Engineering and Comp. Science), Nat. Tech. University of Athens, 1989.
Ph.D. (Electrical and Comp. Eng.), Johns Hopkins University, 1994.
Post-Graduate Training (Postdoctoral fellow), Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, 1994-1995.

Positions
Wallace T. Miller Sr., Professor of Radiology, Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA (USA)
Secondary appt with Electrical and Systems Engineering,
Director, Center for Biomedical Image Computing and Analytics (http://www.cbica.upenn.edu)
Director, Section of Biomedical Image Analysis (http://www.rad.upenn.edu/rad.sbia)
Joint Affiliations: Bioengineering  and Applied Math graduate groups

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  • Free

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