Betty A. Levine
Researcher
Also affiliated: University of North Carolina at Charlotte (2006); University of Dayton (2003); Cleveland Clinic (2010); University of Pittsburgh (2010); Georgetown University (1988–2020); George Washington University (2002–2006); Cornell University (2014); Association of Military Surgeons of the United States (2009); Georgetown University Medical Center (1996–2009); Telemedicine & Advanced Technology Research Center (2014); MedStar Georgetown University Hospital (2010); United States Army Medical Research and Development Command (2014); United BioSource Corporation (United Kingdom) (2010); Development Fund (2003); Rational Biotechnology (United States) (2009); Schön Klinik Neustadt (2003); Winchester Medical Center (2003); Indiana University – Purdue University Indianapolis (1985); University of Maryland, College Park (2003); Walter Reed Army Institute of Research (2010)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Betty A. Levine's research has focused on the implementation and evaluation of medical information systems, particularly within radiology. Her work includes investigating the development of datasets for evaluating medical image de-identification techniques, as evidenced by her 2021 publication. Levine has a scholarly output of 79 publications, with 941 citations and an h-index of 14. She has collaborated with several faculty members at the University of Arkansas for Medical Sciences, including Phillip Farmer, Lawrence Tarbox, Fred Prior, and Michael Rutherford, co-authoring publications with each. Her recent activity indicates ongoing engagement in her research areas.
Metrics
- h-index: 14
- Publications: 79
- Citations: 948
Selected Publications
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A DICOM dataset for evaluation of medical image de-identification (2021)
Collaboration Network
Top Collaborators
- A DICOM dataset for evaluation of medical image de-identification
- A DICOM dataset for evaluation of medical image de-identification
- A DICOM dataset for evaluation of medical image de-identification
- A DICOM dataset for evaluation of medical image de-identification
- A DICOM dataset for evaluation of medical image de-identification
- A DICOM dataset for evaluation of medical image de-identification
- A DICOM dataset for evaluation of medical image de-identification
- A DICOM dataset for evaluation of medical image de-identification
- A DICOM dataset for evaluation of medical image de-identification
- A DICOM dataset for evaluation of medical image de-identification
- A DICOM dataset for evaluation of medical image de-identification
- A DICOM dataset for evaluation of medical image de-identification
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