Core Faculty
Sandy Napel, PhD
Professor of Radiology, Director of IBIIS
Volumetric Visualization and Quantitation, Computer-aided Lesion Detection, Image-molecular Correlations, Human Computer Interactions in Radiology.
Sylvia K. Plevritis, PhD
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.
Akshay Chaudhari, PhD
Assistant Professor of Radiology
Using data-efficient deep-learning techniques for medical imaging acquisition, reconstruction, and subsequent analysis, along with multi-modality integration of medical images with natural language and time-series data.
Curtis Langlotz, MD, PhD
Professor of Radiology, Thoracic Imaging, and of Biomedical Informatics Research
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.
Daniel L. Rubin, MD, MS
Professor of Biomedical Data Science and of Radiology
Content Based Image Retrieval in Radiology, Computer Aided Decision Support, Ontologies and Semantic Web, Natural Language Processing and Information Extraction.
Mirabela Rusu, PhD
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.