Mason J. Belue
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: Tulane University (2018); National Institutes of Health (2022–2025); National Institute of Child Health (2024); Anna Needs Neuroblastoma Answers (2023–2024); National Cancer Institute (2022–2025); Center for Cancer Research (2024)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
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). His work investigates the development and evaluation of algorithms for tasks such as lesion detection, segmentation of anatomical structures like the prostatic urethra, and the overall assessment of prostate cancer detection using multiparametric MRI (mpMRI) and biparametric MRI (bpMRI).
Belue has published work assessing the adherence to criteria for artificial intelligence in medical imaging and has explored the status of biparametric MRI in prostate cancer diagnosis. He has collaborated with researchers at the University of Arkansas for Medical Sciences on multiple publications. His scholarship metrics include an h-index of 15, with 44 total publications and 609 citations.
Metrics
- h-index: 15
- Publications: 44
- Citations: 647
Selected Publications
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MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss (2026)
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VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging (2025)
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Response to the Letter on MRI in Prostate Cancer Screening and Clinical Trial Requirements (2025)
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External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection (2025)
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MAISI: Medical AI for Synthetic Imaging (2025)
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Bridging The Gap: Demanding 1-1 Representation of Dark-Light Skin Tones Within Medical Lectures/Resources (2021)
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High-Efficiency All-Dielectric Huygens Metasurfaces from the Ultraviolet to the Infrared (2018)
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Dynamically Tunable, Vanadium Dioxide Huygens Source Metasurfaces (2018)
Collaboration Network
Top Collaborators
- VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
- MAISI: Medical AI for Synthetic Imaging
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
- VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
- MAISI: Medical AI for Synthetic Imaging
- MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
- VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
- MAISI: Medical AI for Synthetic Imaging
- VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
- MAISI: Medical AI for Synthetic Imaging
- VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
- MAISI: Medical AI for Synthetic Imaging
- VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
- MAISI: Medical AI for Synthetic Imaging
- VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
- MAISI: Medical AI for Synthetic Imaging
- VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
- MAISI: Medical AI for Synthetic Imaging
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- Response to the Letter on MRI in Prostate Cancer Screening and Clinical Trial Requirements
- VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
- MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss
- Bridging The Gap: Demanding 1-1 Representation of Dark-Light Skin Tones Within Medical Lectures/Resources
- MAISI: Medical AI for Synthetic Imaging
- MAISI: Medical AI for Synthetic Imaging
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
- External Validation of an Artificial Intelligence Algorithm Using Biparametric MRI and Its Simulated Integration with Conventional PI-RADS for Prostate Cancer Detection
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