HemaContour: explicit parametric contour learning for robust ICH segmentation on non-contrast CT - Top-Institutions - MDSpire

HemaContour: explicit parametric contour learning for robust ICH segmentation on non-contrast CT

  • By

  • Cheng Zheng

  • Guomin Xie

  • Hongcai Wang

  • Bingxuan Ren

  • Xinru Lin

  • Jincheng Jiang

  • Xinchen Jiang

  • Zhixiang Zhang

  • Haifeng Wang

  • Wu Zheng

  • December 10, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Neuroradiology
    • Neurology
    • Medical Imaging Informatics

  • #2

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Neuroradiology
    • Neurology
    • Biomedical Engineering

  • #3

    University of California, San Francisco (UCSF) Medical Center
    University of California, San Francisco (UCSF) Medical Center

    San Francisco, CA

    Key Differentiators

    • Neuroradiology
    • Neurology
    • Radiology Informatics

  • #4

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Neuroradiology
    • Neurology
    • Artificial Intelligence in Medicine

  • #5

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Neuroradiology
    • Neurology
    • Computer Science

Original Source(s)

HemaContour: explicit parametric contour learning for robust ICH segmentation on non-contrast CT

  • by Cheng Zheng, Guomin Xie, Hongcai Wang, Bingxuan Ren, Xinru Lin, Jincheng Jiang, Xinchen Jiang, Zhixiang Zhang, Haifeng Wang, Wu Zheng

  • December 10, 2025

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