Geometric-topological deep transfer learning for precise vessel segmentation in 3D medical volumes - Top-Institutions - MDSpire

Geometric-topological deep transfer learning for precise vessel segmentation in 3D medical volumes

  • By

  • Jiake Wu

  • Zongyu Wen

  • Hainan Zhou

  • Na Sun

  • Yuanyuan Zhang

  • January 15, 2026

  • 0 min

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Radiology
    • Biomedical Engineering
    • Computational Imaging

  • #2

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Radiology
    • Biomedical Informatics
    • Computer Science

  • #3

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Biomedical Engineering
    • Neuroscience

  • #4

    University of California, Los Angeles (UCLA)
    University of California, Los Angeles (UCLA)

    Los Angeles, CA

    Key Differentiators

    • Radiology
    • Biomedical Engineering
    • Computer Vision

  • #5

    University of Pennsylvania (Penn Medicine)
    University of Pennsylvania (Penn Medicine)

    Philadelphia, PA

    Key Differentiators

    • Radiology
    • Biomedical Engineering
    • Data Science

Original Source(s)

Geometric-topological deep transfer learning for precise vessel segmentation in 3D medical volumes

  • by Jiake Wu, Zongyu Wen, Hainan Zhou, Na Sun, Yuanyuan Zhang

  • January 15, 2026

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