Biography and Research Information
OverviewAI-generated summary
Geri Blake's research focuses on medical imaging and data anonymization, particularly within the context of thoracic radiography and computed tomography. Blake has published work on developing DICOM datasets for the evaluation of medical image de-identification and has contributed to the SCALES instrument overview, which outlines expected science outcomes. Blake's work also touches upon the application of these imaging techniques in relation to glioblastoma and COVID-19. Blake has a citation count of 132 and an h-index of 3 across 6 publications. Key collaborators include Phillip Farmer, Lawrence Tarbox, Fred Prior, and Michael Rutherford, all from the University of Arkansas for Medical Sciences.
Metrics
- h-index: 3
- Publications: 6
- Citations: 138
Selected Publications
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A DICOM dataset for evaluation of medical image de-identification (2021)
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Chest imaging representing a COVID-19 positive rural U.S. population (2020)
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Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset (2020)
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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