Match tier Confirmed
Presence Current · Arkansas
Last published 2025
Sources OpenAlex · ORCID
Refreshed 2026-08-08

Christian Young

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor of Computer Science Member of the Schoo

Southern Arkansas University

Also affiliated: University of California, Davis (2017)

Faculty Researcher

1 h-index 8 pubs 52 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Christian Young is an Assistant Professor of Computer Science at Southern Arkansas University. His research interests lie at the intersection of computer science and medical imaging. He has published work utilizing persistent homology and the Segment Anything Model for automated zero-shot localized medical X-ray image segmentation. Young's scholarly profile includes an h-index of 1, with a total of 8 publications and 51 citations. He has collaborated with Ahmad Al Shami and Malak Bachri, both from Southern Arkansas University, on shared publications.

Metrics

  • h-index: 1
  • Publications: 8
  • Citations: 52

Selected Publications

  • Persistent Homology and Segment Anything Model for Automated Zero-Shot Localized Medical X-ray Images Segmentation (PH-SAM) (2025)
    Lecture notes in networks and systems DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

3 Collaborators 1 Institution 1 Country

Top Collaborators

View profile →
View profile →
View profile →

Similar Researchers

Based on overlapping research topics

Malak Bachri Southern Arkansas University
Medical Imaging Techniques and Applications Machine Learning Applications Computer Graphics and Visualization Techniques
Strong match 4 shared topics
C. E. Greub University of Arkansas at Fayetteville
Medical Imaging Techniques and Applications Machine Learning Applications Computer Graphics and Visualization Techniques
Strong match 4 shared topics
Kashu Yamakazi University of Arkansas at Fayetteville
Medical Imaging Techniques and Applications Computer Graphics and Visualization Techniques Radiomics and Machine Learning in Medical Imaging
Good match 3 shared topics
Frederick Bumgarner University of Arkansas at Fayetteville
Machine Learning Applications Computer Graphics and Visualization Techniques Robotics and Sensor-Based Localization
Good match 3 shared topics
Joshua Liu University of Arkansas at Fayetteville
Medical Imaging Techniques and Applications Machine Learning Applications Robotics and Sensor-Based Localization
Good match 4 shared topics
Yu Sun University of Central Arkansas
Medical Imaging Techniques and Applications Machine Learning Applications Computer Graphics and Visualization Techniques
Good match 4 shared topics