Limited activity: This researcher has not published recently (last publication: 2018). Profile data may be outdated.
Match tier Listed
Presence Current · Arkansas
Last published 2018
Sources OpenAlex · ORCID
Refreshed 2026-08-08

Ruizong Li

Associate Professor

UAMS

Also affiliated: University of Arkansas Medical Center (2018)

Faculty Researcher

Radiology, College of Medicine

2 h-index 3 pubs 58 cited

Research Areas

Biomedical Subjects

  • Humans
  • Catheterization, Central Venous
  • Radiography, Interventional
  • Simulation Training
  • Cadaver
  • Embalming
  • Ultrasonography, Interventional
  • Embolization, Therapeutic
  • Urinary Reservoirs, Continent
  • Catheters, Indwelling
  • Cross Infection
  • Equipment Design
  • Phlebography
  • Catheter-Related Infections
  • Radiology, Interventional

Links

UAMS TRI Profile

OverviewAI-generated summary

Ruizong Li's research has focused on the application of machine learning and radiomics in medical imaging, particularly for cancer detection. His work has explored advanced computational techniques to analyze medical images, aiming to improve diagnostic accuracy and treatment planning. Li has investigated the use of these technologies across various imaging modalities and cancer types.

Metrics

  • h-index: 2
  • Publications: 3
  • Citations: 58

Selected Publications

  • Lightly Embalmed Cadavers as a Training Tool for Ultrasound-Guided Procedures Commonly Used in Interventional Radiology (2018)
    Academic Radiology 13 citations DOI OpenAlex
  • Successful Management of Neobladder Variceal Bleeding (2016)
    CardioVascular and Interventional Radiology 1 citation DOI OpenAlex
  • Principles of Subcutaneous Port Placement (2011)
    Techniques in vascular and interventional radiology 44 citations DOI OpenAlex

View all publications on OpenAlex →

Frequent Collaborators

Phelan, Kevin Meek, James

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