43543-Yue, Yong

Yong Yue, PhD

Associate Professor of Clinical Radiation Oncology

535 Barnhill Drive, Suite RT 041

Indianapolis, IN 46202

Titles & Appointments

  • Associate Professor of Clinical Radiation Oncology
  • Education
    2007 PhD Rice University
    1996 BS Lanzhou University
  • Research

    Treatment planning systems: Varian Eclipse
    Information systems: Varian AIRA Oncology Information System and Elekta MOSAIQ
    Linear accelerators: Varian TrueBeam and Trilogy, Elekta Versa HD
    HDR afterloaders: Varian Varisource iX
    CT simulators: GE Discovery CT with the Varian RPM system
    Water tank system: IBA Blue Phantom 2 with the OmniPro Accept 7.4.
    Breathing monitoring systems: Varian RPM system and Calypso 4D system, Vision RT, QFix SDX system
    Breathing motion simulation and QA phantoms: Dynamic Thorax Phantom
    QA devices: Sun Nuclear ArcCheck, Mapcheck2, IC profiler, IBA MatriXX Evolution, Landauer nanoDot OSLD system,
    and the Phantom Laboratory RANDO phantom
    Software: Varian Eclipse API, Sun Nuclear SNC Patient, and Varian Velocity, MIM software, RadCal, MATLAB, SAS
    Languages: C/C++/C#, Cuda GPU programming, Perl, Python, R

  • Professional Organizations
    American Association of Physicists in Medicine (AAPM)
    American Society for Radiation Oncology(ASTRO)
    Institute of Electrical and Electronics Engineers
  • Board Certifications
    American Board of Radiology - Medical Physics*
  • Clinical Interests

    Medical image analysis and processing
    - Multiple imaging modality fusion: rigid and non-rigid registration, B-spline deformable registration, optical flow,
    demons and feature-based elastic body registration
    - Image segmentation: Anatomical structure boundary detection using active contour, level set, deformable models,
    geodesic active contour, active shape model, maximum a posteriori segmentation, and learning based segmentation
    - Image reconstruction: Filter back projection (FBP), ordered-subsets expectation-maximization (OSEM)
    - Computational modeling: Statistical image modeling, machine learning, and pattern recognition, statistical learning,
    nonlinear discriminant analysis, manifold learning

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