Christian Young Source Confirmed

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

Assistant Professor of Computer Science Member of the Schoo

Southern Arkansas University

faculty

1 h-index 8 pubs 50 cited

Research Areas

Medical Imaging Techniques and Applications Advanced Neural Network Applications Natural Language Processing Techniques Radiomics and Machine Learning in Medical Imaging

Links

ORCID

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OverviewAI-generated summary

Christian Young's research program focuses on the application of advanced computational techniques to medical imaging, specifically in the area of medical image segmentation. His recent work involves developing novel methods that utilize persistent homology and the Segment Anything Model (SAM) for automated, zero-shot localized segmentation of medical X-ray images. This approach aims to improve the efficiency and accuracy of identifying specific regions within medical scans without requiring extensive pre-labeled training data.

Young is an Assistant Professor of Computer Science at Southern Arkansas University. His scholarly output includes 8 publications with 50 citations and an h-index of 1. He collaborates with Ahmad Al Shami at Southern Arkansas University, with whom he has co-authored one publication. His work is situated within the intersection of computer science, artificial intelligence, and medical imaging.

Metrics

  • h-index: 1
  • Publications: 8
  • Citations: 50

Selected Publications

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

Collaborators

Researchers in the database who share publications

Ahmad Al Shami Southern Arkansas University 1 shared publication

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