Pre-treatment CEMRI habitat radiomics and deep learning for noninvasive prediction of the VETC pattern in hepatocellular carcinoma: an exploratory radiogenomic analysis - Top-Institutions - MDSpire

Pre-treatment CEMRI habitat radiomics and deep learning for noninvasive prediction of the VETC pattern in hepatocellular carcinoma: an exploratory radiogenomic analysis

  • By

  • Xingwu Xie

  • Yanxi Xiong

  • Xiao-Shan Huang

  • Xiaojuan Tang

  • Yue Zhao

  • Xiaoyu Xiao

  • Long Jin

  • June 26, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Hospital I
    Hospital I

    Unknown, Unknown

    Key Differentiators

    • Radiology

  • #2

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

    Unknown, Unknown

    Key Differentiators

    • Radiology

  • #3

    GARNET trial
    GARNET trial

    Unknown, Unknown

    Key Differentiators

    • Radiology

Original Source(s)

Pre-treatment CEMRI habitat radiomics and deep learning for noninvasive prediction of the VETC pattern in hepatocellular carcinoma: an exploratory radiogenomic analysis

  • by Xingwu Xie, Yanxi Xiong, Xiao-Shan Huang, Xiaojuan Tang, Yue Zhao, Xiaoyu Xiao, Long Jin

  • June 26, 2026

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