Mason J. Belue Data-verified

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

Researcher

UAMS
Last publication 2026 Last refreshed 2026-05-16

faculty

14 h-index 44 pubs 573 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Mason J. Belue's research focuses on the application of artificial intelligence and deep learning techniques to prostate magnetic resonance imaging (MRI) for the detection and characterization of prostate cancer. He has investigated the efficacy of various MRI protocols, including biparametric and multiparametric MRI, and evaluated the performance of AI-driven algorithms for tasks such as lesion detection and segmentation. His work also examines the adherence to established criteria for AI in medical imaging, particularly within the context of prostate MRI studies. Belue's publications include analyses of current diagnostic methods and the development of novel AI models for medical image analysis.

With a publication record of 44 papers and an h-index of 14, Belue's scholarship contributes to the advancing field of AI-assisted medical diagnostics. His recent work explores the potential of foundation models for 3D medical imaging segmentation and the prospective evaluation of imaging markers for prostate cancer investigation. He is actively involved in research that bridges advanced computational methods with clinical applications in radiology and urology.

Metrics

  • h-index: 14
  • Publications: 44
  • Citations: 573

Selected Publications

  • MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss (2026)
    DOI OpenAlex
  • VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging (2025)
    29 citations DOI OpenAlex
  • Response to the Letter on MRI in Prostate Cancer Screening and Clinical Trial Requirements (2025)
    DOI OpenAlex
  • 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
  • MAISI: Medical AI for Synthetic Imaging (2025)
    18 citations DOI OpenAlex
  • Bridging The Gap: Demanding 1-1 Representation of Dark-Light Skin Tones Within Medical Lectures/Resources (2021)
    DOI OpenAlex

View all publications on OpenAlex →

Collaborators

Researchers in the database who share publications

Roopa Ram University of Arkansas for Medical Sciences 3 shared publications Neriman Gökden University of Arkansas for Medical Sciences 3 shared publications Ahmet Murat Aydın University of Arkansas for Medical Sciences 3 shared publications Jackson W. Massey University of Arkansas for Medical Sciences 3 shared publications Emily Biben University of Arkansas for Medical Sciences 3 shared publications Suryakala Buddha University of Arkansas for Medical Sciences 2 shared publications Suryakala Buddha University of Arkansas for Medical Sciences 2 shared publications Timothy Langford University of Arkansas for Medical Sciences 2 shared publications

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