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WING generative network achieves SOTA CT synthesis from MRI/CBCT · 3 sources tracked

Researchers have developed WING, a novel generative network designed for cross-modality CT synthesis. This model reformulates the regression target into multiple windowed representations, addressing challenges with direct CT intensity regression. WING utilizes a Gated Inception Generator and a Fuse-and-Refine Transformer to aggregate windowed outputs and refine details, achieving state-of-the-art performance on MRI-to-CT and CBCT-to-CT benchmarks. AI

IMPACT Advances CT synthesis for medical imaging, potentially improving radiotherapy treatment planning and reducing radiation exposure.

RANK_REASON The cluster describes a research paper detailing a new generative network model.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

WING generative network achieves SOTA CT synthesis from MRI/CBCT · 3 sources tracked

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COVERAGE [3]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis

    Generating CT volumes from MRI and CBCT can improve treatment planning in adaptive radiotherapy while avoiding additional radiation exposure. However, direct regression of CT intensities is challenged by the inherently high dynamic range and long-tailed distributions, thereby ave…

  2. arXiv cs.CV TIER_1 English(EN) · Siyuan Mei, Yan Xia, Yipeng Sun, Siming Bayer, Zirong Li, Chengze Ye, Daiqi Liu, Fuxin Fan, Yixing Huang, Andreas Maier ·

    WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis

    arXiv:2607.06234v1 Announce Type: new Abstract: Generating CT volumes from MRI and CBCT can improve treatment planning in adaptive radiotherapy while avoiding additional radiation exposure. However, direct regression of CT intensities is challenged by the inherently high dynamic …

  3. arXiv cs.CV TIER_1 English(EN) · Andreas Maier ·

    WING: A Window-Prior-Based Generative Network with Gated Inception for Cross-Modality CT Synthesis

    Generating CT volumes from MRI and CBCT can improve treatment planning in adaptive radiotherapy while avoiding additional radiation exposure. However, direct regression of CT intensities is challenged by the inherently high dynamic range and long-tailed distributions, thereby ave…