Roopa Ram

Professor

Last publication 2026 Last refreshed 2026-05-16

faculty

Radiology, College of Medicine

13 h-index 62 pubs 443 cited

Biography and Research Information

OverviewAI-generated summary

Roopa Ram, a Professor in the Department of Radiology at the University of Arkansas for Medical Sciences, focuses her research on medical imaging, particularly magnetic resonance imaging (MRI). Her work has contributed to the development of consensus definitions and interpretation templates for MRI of pelvic floor disorders, an area where she has co-authored multiple publications. Ram's research also extends to evaluating imaging techniques for conditions like hepatocellular carcinoma, including the LI-RADS treatment response lexicon. She has investigated artificial intelligence algorithms for prostate cancer detection using MRI and reviewed imaging for splenic pathology.

Ram collaborates with several researchers at the University of Arkansas for Medical Sciences, including Kedar Jambhekar (10 shared publications), Gitanjali Bajaj (3 shared publications), and Neriman Gökden (3 shared publications). Her scholarship metrics include an h-index of 13, with 61 total publications and 435 total citations.

Metrics

  • h-index: 13
  • Publications: 62
  • Citations: 443

Selected Publications

  • Nationwide survey of benefits provided to radiology residents in the United States (2025)
  • External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection (2025)
    5 citations DOI OpenAlex
  • Magnetic resonance imaging of hepatocellular carcinoma: a spectrum of uncommon morphologic subtypes, unusual imaging patterns and mimics (2025)
  • Review of the demographic and educational profiles of abdominal imaging fellowship program directors in the United States (2024)
    1 citation DOI OpenAlex
  • 10-year update to the combined 16-month nuclear medicine and diagnostic radiology residency: The NuRad pathway (2024)
  • Teaching the Next Generation of Teachers: Residents and Fellows (2022)
  • Editorial Comment: Bosniak Class III Versus IV Cystic Renal Masses—Variability in Behavior and Guidance for Developing Novel Surveillance Criteria (2022)
  • Imaging After Locoregional Therapy for Hepatocellular Carcinoma with Emphasis on LIRADS Treatment Response Assessment Criteria (2021)
    2 citations DOI OpenAlex
  • Consensus Definitions and Interpretation Templates for Magnetic Resonance Imaging of Defecatory Pelvic Floor Disorders (2021)
    10 citations DOI OpenAlex
  • Consensus Definitions and Interpretation Templates for Magnetic Resonance Imaging of Defecatory Pelvic Floor Disorders: Proceedings of the Consensus Meeting of the Pelvic Floor Disorders Consortium of the American Society of Colon and Rectal Surgeons, the Society of Abdominal Radiology, the International Continence Society, the American Urogynecologic Society, the International Urogynecological Association, and the Society of Gynecologic Surgeons (2021)
    28 citations DOI OpenAlex
  • Consensus definitions and interpretation templates for magnetic resonance imaging of Defecatory pelvic floor disorders (2021)
    9 citations DOI OpenAlex
  • LI-RADS treatment response lexicon: review, refresh and resolve with emerging data (2021)
    11 citations DOI OpenAlex
  • Response to letter to editor: “Pelvic floor imaging with MR defecography: correlation with gynecologic pelvic organ prolapse quantification by Swamy et al.” (2021)
    1 citation DOI OpenAlex
  • Clinical applications of pelvic floor imaging: opinion statement endorsed by the society of abdominal radiology (SAR), American Urological Association (AUA), and American Urogynecologic Society (AUGS) (2021)
    12 citations DOI OpenAlex
  • Imaging After Locoregional Therapy for Hepatocellular Carcinoma With Emphasis on LIRADS Treatment Response Assessment Criteria (2021)
    2 citations DOI OpenAlex

View all publications on OpenAlex →

Grants & Funding

  • Development of Analysis Tools to Enhance Magnetomyographic Assessment of Pelvic Floor Muscles NIH/Nat. Inst. of Biomedical Imaging & Bioengineering Co-Investigator

Collaboration Network

122 Collaborators 58 Institutions 5 Countries

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