James Sorensen

Researcher

University of Arkansas for Medical Sciences

faculty

6 h-index 14 pubs 97 cited

Research Areas

Radiomics and Machine Learning in Medical Imaging Medical Imaging Techniques and Applications SARS-CoV-2 and COVID-19 Research Child Abuse and Trauma Cardiovascular Function and Risk Factors AI in cancer detection Healthcare Policy and Management

Links

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OverviewAI-generated summary

James Sorensen's research focuses on the application of artificial intelligence and advanced imaging techniques in medical diagnostics. His recent work includes studies on using artificial intelligence for child abuse detection in imaging and enhancing portable radiography for rapid COVID-19 monitoring. Sorensen has also investigated methods to improve diagnostic accuracy for COVID-19 using portable chest X-rays through techniques like PairFlow. Additionally, his research has explored the impact of structured pre-appointment telephone contact on increasing cardiac MRI productivity. Sorensen has a h-index of 6 and has published 14 papers, with a total of 97 citations. His collaborators include Markus S. Renno and Khoa Luu.

Metrics

  • h-index: 6
  • Publications: 14
  • Citations: 97

Selected Publications

  • Cardiac MRI Productivity Increases with High-Quality Structured Pre-appointment Telephone Contact (2021) DOI
  • Enhance Portable Radiograph for Fast and High Accurate COVID-19 Monitoring (2021) DOI
  • Artificial intelligence in child abuse imaging (2021) DOI
  • Cardiac MRI Productivity Increases with High-Quality Structured Pre-appointment Telephone Contact (2021) DOI

Collaborators

Researchers in the database who share publications

Markus S. Renno University of Arkansas for Medical Sciences 2 shared publications Khoa Luu University of Arkansas at Fayetteville 1 shared publication

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