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Kuan “Kevin” Zhang, Ph.D.

Kuan “Kevin” Zhang, Ph.D.

Titles and Appointments

Assistant Professor

School
Medical School
Department
Radiology
  • Biography

    Kuan (Kevin) Zhang, Ph.D., is an Assistant Professor of Radiology and a Diagnostic Medical Physicist in the Medical Physics division at UT Southwestern Medical Center.

    Dr. Zhang earned his bachelor's degree in physics from the University of Science and Technology of China (USTC). He then pursued a dual European Erasmus MSc in computational modeling from Swansea University in the United Kingdom and Universitat Politècnica de Catalunya in Barcelona, Spain, where he continued to obtain a Ph.D. in Applied Mathematics. Transitioning to medical imaging artificial intelligence, Dr. Zhang received advanced training at the Mayo AI Lab as a Research Associate and completed the CAMPEP Accredited Certificate Program at the Mayo Clinic.

    Before joining the faculty at UT Southwestern in 2024, Dr. Zhang completed a diagnostic medical physics residency at the Mayo Clinic and served as an Assistant Professor of Radiology at the Mayo Clinic.

    Dr. Zhang’s research focuses on mathematical modeling, AI, and radiological imaging analysis. He is particularly interested in developing novel machine learning algorithms and data-driven platforms to enhance clinical imaging tasks. Dr. Zhang’s work has resulted in more than 20 peer-reviewed publications in scientific journals, and he has served as Associate Editor of Radiology: Advances.

    Dr. Zhang is an active member of several professional organizations, including the Radiological Society of North America, American College of Radiology, and the American Association of Physicists in Medicine.

  • Publications
    Outlier detection to identify presence of clinical confounders to AI performance: Application to coronary angiography and LVEF prediction
    Zhang K, Rostami B, Faghani S, Chang E, Svestka D, Fetterly K, Erickson BJ, Alkhouli M 2025
    Recent Advances in Compact Portable Platforms and Gradient Hardware for Brain MRI
    Zhang K, Ganjizadeh A, Vahdati S, Huston J, Bernstein MA, Erickson BJ, Shu Y RADIOLOGY 2025 315
    Influence of Small Pixel Size on Noise Power Spectrum and Low-Contrast Detectability in Clinical Photon-Counting CT
    Shan C, Duan X, Zhang Y, Zhang K, Ren L 2025
    2024 Top Images in Radiology: Radiology In Training Editors’ Choices
    Tordjman M, Guarnera A, Horst C, Shea AO, Yuan F, Zhang K, Deng F, Chernyak V, Moy L, Lennartz S RADIOLOGY 2024 Dec 313
    A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey
    Vahdati S, Khosravi B, Mahmoudi E, Zhang K, Rouzrokh P, Faghani S, Moassefi M, Tahmasebi A, Andriole KP, Chang P, Farahani K, Flores MG, Folio L, Houshmand S, Giger ML, Gichoya JW, Erickson BJ Journal of Imaging Informatics in Medicine 2024 Oct 37 2015-2024
    Thermometry mapping during CT-guided thermal ablations: proof of feasibility and internal validation using spectral CT
    Zhang K, Ferrero A, In MH, Favazza CP Physics in medicine and biology 2024 Jun 69
    FDA Review of Radiologic AI Algorithms: Process and Challenges
    Zhang K, Khosravi B, Vahdati S, Erickson BJ RADIOLOGY 2024 Jan 310
    Thermometry mapping during CT-guided thermal ablations: sensitivity and clinical feasibility using spectral CT
    Zhang K, Ferrero A, In MH, Favazza CP 2024
    Thermometry mapping during CT-guided thermal ablations: sensitivity and clinical feasibility using spectral CT
    Zhang K, Ferrero A, In M, Favazza C Medical Imaging 2024: Physics of Medical Imaging 2024 294-302
    A guideline for tools to make medical imaging data ready for Artificial Intelligence applications: A Society of Imaging Informatics in Medicine (SIIM) survey
    Vahdati S, Khosravi B, Mahmoudi E, Zhang K, Rouzrokh P, Faghani S, Moassefi M, Tahmasebi A, Andriole K, Chang P, Farahani K, Flores M, Folio L, Houshmand S, Giger M, Gichoya J, Erickson B Journal of Imaging Informatics in Medicine 2024 1-10