Jackson W. Massey
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Researcher
Also affiliated: San Mateo Medical Center (2025); Resonant Sensors (United States) (2020); Organ Recovery Systems (United States) (2024); Network Group (Czechia) (2012); The University of Texas at Austin (2012–2018); Murata (Japan) (2025)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Jackson W. Massey's research focuses on the application of artificial intelligence and advanced modeling techniques to medical imaging and anatomical studies. His work includes the development and validation of algorithms for predicting prostate cancer using biparametric MRI, comparing these AI-driven predictions with conventional methods like PI-RADS and radiologist assessments. Massey also investigates finite element modeling for acoustic wave resonators and other engineering applications, demonstrating a multidisciplinary approach. His scholarship metrics include an h-index of 8 with 28 publications and 233 citations. He has collaborated on multiple publications with researchers at the University of Arkansas for Medical Sciences, including Roopa Ram, Neriman Gökden, Mason J. Belue, and Vaneeza Mukhtar.
Metrics
- h-index: 8
- Publications: 28
- Citations: 237
Selected Publications
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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)
Collaboration Network
Top Collaborators
- 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
- 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
- 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
- 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
- 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
- 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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