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 Profile data may be outdated.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 2026-10-03

Ruizong Li

Associate Professor

UAMS

Also affiliated: University of Arkansas Medical Center (2016–2018)

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

Positions

  • Associate Professor publications 2011–2018
    University of Arkansas for Medical Sciences Radiology, College of Medicine Institutional directory

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 →

Collaborators

Researchers in the database who share publications

Steven Deas University of Arkansas for Medical Sciences 1 shared publication Krishna Siva Sai Kakkera University of Arkansas for Medical Sciences 1 shared publication Linda A. Deloney University of Arkansas for Medical Sciences 1 shared publication James C. Meek University of Arkansas for Medical Sciences 1 shared publication Kevin D. Phelan University of Arkansas at Fayetteville 1 shared publication Mary Elizabeth Meek University of Arkansas for Medical Sciences 1 shared publication Blake R. Hollowoa University of Arkansas for Medical Sciences 1 shared publication

Similar Researchers

Based on overlapping research topics

Sam Davis Omekara Philander Smith College
Radiomics and Machine Learning in Medical Imaging AI in cancer detection Medical Imaging Techniques and Applications
Strong match 4 shared topics
Nagma Vohra University of Arkansas at Fayetteville
Radiomics and Machine Learning in Medical Imaging AI in cancer detection Medical Imaging Techniques and Applications
Strong match 4 shared topics
Arthur Haut University of Arkansas for Medical Sciences
Radiomics and Machine Learning in Medical Imaging AI in cancer detection Medical Imaging Techniques and Applications
Good match 3 shared topics
Lance Runion University of Arkansas for Medical Sciences
Radiomics and Machine Learning in Medical Imaging AI in cancer detection Medical Imaging Techniques and Applications
Good match 3 shared topics
James Vandergrift University of Arkansas for Medical Sciences
Radiomics and Machine Learning in Medical Imaging AI in cancer detection Medical Imaging Techniques and Applications
Good match 3 shared topics
Brittney Camp University of Arkansas for Medical Sciences
Radiomics and Machine Learning in Medical Imaging Medical Imaging Techniques and Applications Cancer-related molecular mechanisms research
Good match 3 shared topics