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Home › Researcher directory › Sven Koitka

Sven Koitka

Affiliation : NYU Langone Health · New York University

  • 1Publications (affiliation in the United States)
  • 56Total publications
  • 1967Citations
  • 21h-index

Research profile

Sven Koitka has 1 indexed publication (2020). Their work appears in “JAMA Network Open”. Their most cited article, “Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms” (2020), has been cited 409 times. Their work is co-authored with at least 12 researchers.

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Research areas

  • Radiomics and Machine Learning in Medical Imaging
  • Artificial Intelligence in Healthcare and Education
  • Medical Image Segmentation Techniques
  • Medical Imaging and Analysis
  • Body Composition Measurement Techniques

Publications (1)

Collaborations

Partner institutions : Icahn School of Medicine at Mount Sinai · Sage Bionetworks · Stanford University · University of California, San Francisco · IBM (United States)

Co-authors

Bibliographic data from OpenAlex (open database).

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