Multitask learning for early treatment response and survival prediction in lung cancer radiotherapy using sequential CBCT imaging - Top-Institutions - MDSpire

Deep Learning Approaches for Predicting Treatment Response and Survival Outcomes in Lung Cancer Radiotherapy Through Sequential CBCT Imaging

  • By

  • Yumei Li

  • Zhouji Wei

  • Chenlong Luo

  • Yejun Gong

  • Ye Zhang

  • Feng Zhang

  • Chunyan Liu

  • July 21, 2026

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    GARNET trial
    GARNET trial

    N/A, N/A

    Key Differentiators

    • Radiation Oncology

  • #2

    10 institutions in the United States and Europe
    10 institutions in the United States and Europe

    N/A, N/A

    Key Differentiators

    • Radiation Oncology

  • #3

    North Estonia Medical Centre (NEMC) Foundation
    North Estonia Medical Centre (NEMC) Foundation

    Tallinn, Estonia

    Key Differentiators

    • Radiation Oncology

  • #4

    Stanford NSCLC Radiogenomics
    Stanford NSCLC Radiogenomics

    Stanford, California

    Key Differentiators

    • Radiation Oncology

  • #5

    Dana-Farber Cancer Institute
    Dana-Farber Cancer Institute

    Boston, Massachusetts

    Key Differentiators

    • Radiation Oncology

Original Source(s)

Multitask learning for early treatment response and survival prediction in lung cancer radiotherapy using sequential CBCT imaging

  • by Yumei Li, Zhouji Wei, Chenlong Luo, Yejun Gong, Ye Zhang, Feng Zhang, Chunyan Liu

  • July 21, 2026

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