Sylvia K. Plevritis, Ph.D.
Professor of Biomedical Data Science and of Radiology
Evaluating the efficacy of cancer screening programs. modeling cancer progression. Decision analytic principles in a medical context with an emphasis on model building and validation, parameter estimation, and stochastic simulation. Cost-effectiveness analysis and medical ethics.
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Curtis Langlotz, M.D., Ph.D.
Professor of Radiology, Associate Chair Information Technology
Decision support for diagnostic imaging. Development of systems and standards that facilitate structured data capture during routine image interpretation. Natural language processing technology to extract knowledge from the narrative that remains a part of the radiology report.
Mirabela Rusu, Ph.D.
Assistant Professor of Radiology
Development of analytic methods for biomedical data interpretation, radiology-pathology fusion. Construction of comprehensive multi-scale representations. Facilitate in-depth characterization of biological processes and pathological conditions.