Deep multimodal fusion of patho-radiomic and clinical data for enhanced survival prediction for colorectal cancer patients - Top-Institutions - MDSpire

Deep multimodal fusion of patho-radiomic and clinical data for enhanced survival prediction for colorectal cancer patients

  • By

  • Run Shi

  • Jing Sun

  • Zhaokai Zhou

  • Qiang Su

  • Yongqian Shu

  • December 5, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Oncology
    • Pathology
    • Radiology
    • Artificial Intelligence in Medicine

  • #2

    Dana-Farber Cancer Institute
    Dana-Farber Cancer Institute

    Boston, MA

    Key Differentiators

    • Medical Oncology
    • Cancer Genomics
    • Computational Biology

  • #3

    MD Anderson Cancer Center
    MD Anderson Cancer Center

    Houston, TX

    Key Differentiators

    • Surgical Oncology
    • Radiology
    • AI in Cancer Diagnostics

  • #4

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Biomedical Informatics
    • Pathology
    • Radiology
    • AI Research

  • #5

    Johns Hopkins Medicine
    Johns Hopkins Medicine

    Baltimore, MD

    Key Differentiators

    • Oncology
    • Pathology
    • Radiology
    • Machine Learning

Original Source(s)

Deep multimodal fusion of patho-radiomic and clinical data for enhanced survival prediction for colorectal cancer patients

  • by Run Shi, Jing Sun, Zhaokai Zhou, Qiang Su, Yongqian Shu

  • December 5, 2025

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