Biography and Research Information
OverviewAI-generated summary
Quasar Jarosz's research focuses on the development and evaluation of algorithms for de-identifying medical imaging datasets, particularly those in the DICOM format. This work aims to facilitate the creation of shareable datasets for research and development while protecting patient privacy. Jarosz has published on a DICOM dataset specifically designed for evaluating medical image de-identification methods. The researcher has collaborated with several colleagues at the University of Arkansas for Medical Sciences, including Phillip Farmer, Lawrence Tarbox, Fred Prior, and Michael Rutherford, on shared publications. Jarosz's work contributes to the fields of medical imaging, data privacy, and the ethical use of healthcare data.
Metrics
- h-index: 2
- Publications: 3
- Citations: 59
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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