Utilizing conditional generative adversarial network to generate head MRA based on nonvascular sequences: comparative study of single-modality and multi-modality methods - Top-Institutions - MDSpire

Utilizing conditional generative adversarial network to generate head MRA based on nonvascular sequences: comparative study of single-modality and multi-modality methods

  • By

  • Xinyu Song

  • Lei Xiang

  • Ping Wang

  • Chao Zhu

  • Zhongzheng Cao

  • Xiaoer Wei

  • Tianen Yu

  • Tao Zhou

  • Yuehua Li

  • July 6, 2026

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    University Hospital
    University Hospital

    Daejeon, South Korea

    Key Differentiators

    • Radiology

  • #2

    Shanghai Sixth People’s Hospital
    Shanghai Sixth People’s Hospital

    Shanghai, China

    Key Differentiators

    • Radiology

  • #3

    Cantonal Ethics Committee Zürich
    Cantonal Ethics Committee Zürich

    Zürich, Switzerland

    Key Differentiators

    • Radiology

  • #4

    Ethics Committee of the Greater Area of Emilia-Romagna
    Ethics Committee of the Greater Area of Emilia-Romagna

    Bologna, Italy

    Key Differentiators

    • Radiology

Original Source(s)

Utilizing conditional generative adversarial network to generate head MRA based on nonvascular sequences: comparative study of single-modality and multi-modality methods

  • by Xinyu Song, Lei Xiang, Ping Wang, Chao Zhu, Zhongzheng Cao, Xiaoer Wei, Tianen Yu, Tao Zhou, Yuehua Li

  • July 6, 2026

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