UroFusion-X: a unified multimodal deep learning framework for robust diagnosis, subtyping, and prognosis of urological cancers - Top-Institutions - MDSpire

UroFusion-X: a unified multimodal deep learning framework for robust diagnosis, subtyping, and prognosis of urological cancers

  • By

  • Yingming Xiao

  • Shengke Yang

  • Mingjing He

  • Li Chen

  • Yi Wu

  • Lei Zhong

  • January 19, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Urological Oncology
    • Radiology
    • Pathology
    • Computational Oncology

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Urology
    • Pathology
    • Biomedical Engineering
    • Artificial Intelligence

  • #3

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Urology
    • Radiology
    • Pathology
    • Artificial Intelligence
    • Genomics

  • #4

    Dana-Farber Cancer Institute
    Dana-Farber Cancer Institute

    Boston, MA

    Key Differentiators

    • Medical Oncology
    • Pathology
    • Computational Biology
    • Urological Cancers

  • #5

    University of Michigan
    University of Michigan

    Ann Arbor, MI

    Key Differentiators

    • Urology
    • Radiology
    • Pathology
    • Biomedical Informatics

Original Source(s)

UroFusion-X: a unified multimodal deep learning framework for robust diagnosis, subtyping, and prognosis of urological cancers

  • by Yingming Xiao, Shengke Yang, Mingjing He, Li Chen, Yi Wu, Lei Zhong

  • January 19, 2026

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