Match tier Likely match
Presence Current · Arkansas
Last published 2019
Sources OpenAlex · ORCID
Refreshed 2026-08-15

Ram Natarajan

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

University of Arkansas

Also affiliated: Ministry of Justice (2008); The University of Texas at Dallas (1999–2019); College of Accounting (2005)

Faculty Researcher

11 h-index 23 pubs 1,618 cited

Research Areas

Biomedical Subjects

  • Attitude of Health Personnel
  • Ethics, Medical
  • Refugees
  • United Kingdom
  • Health Services Accessibility
  • Humans
  • National Health Programs
  • Physician's Role

Links

Lab Website

OverviewAI-generated summary

Ram Natarajan's research has focused on the development and application of machine learning techniques for medical imaging analysis. His work has explored the use of these methods to improve diagnostic accuracy and identify disease patterns. Natarajan has contributed to the field through publications detailing his methodologies and findings in this area.

Metrics

  • h-index: 11
  • Publications: 23
  • Citations: 1,618

Selected Publications

  • Argentina and Genocide: A Review of the Work of Antonius Robben (2019)
    Ethnos DOI OpenAlex
  • The Knowledge of People Disappeared During Argentina’s Military Rule (2018)
    Human Studies 1 citation DOI OpenAlex
  • Man or Monster? The Trial of a Khmer Rouge Torturer (2018)
    The Asia Pacific Journal of Anthropology DOI OpenAlex

View all publications on OpenAlex →

Similar Researchers

Based on overlapping research topics

Khaled Khasawneh University of Arkansas for Medical Sciences
Radiomics and Machine Learning in Medical Imaging Machine Learning Applications Medical Imaging Techniques and Applications
Strong match 4 shared topics
Syed Azfar Rahman University of Arkansas at Little Rock
Radiomics and Machine Learning in Medical Imaging Machine Learning Applications Medical Imaging Techniques and Applications
Strong match 4 shared topics
Weiyi Ma University of Arkansas at Fayetteville
Radiomics and Machine Learning in Medical Imaging Machine Learning Applications Medical Imaging Techniques and Applications
Strong match 4 shared topics
Nhat-Tan Bui University of Arkansas at Fayetteville
Radiomics and Machine Learning in Medical Imaging Machine Learning Applications Medical Imaging Techniques and Applications
Strong match 4 shared topics
Michael Lynn University of Arkansas for Medical Sciences
Radiomics and Machine Learning in Medical Imaging Machine Learning Applications Medical Imaging Techniques and Applications
Strong match 3 shared topics
Ruizong Li University of Arkansas for Medical Sciences
Radiomics and Machine Learning in Medical Imaging Medical Imaging Techniques and Applications AI in cancer detection
Good match 3 shared topics