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    <title>Zheng Chen | ViLab</title>
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    <description>Zheng Chen</description>
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      <title>Zheng Chen</title>
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      <title>Salient Diagnostic Value Perception For Preoperative Posterior Fossa Tumor Diagnosis</title>
      <link>https://vilab.team/publication/salient-diagnostic-value-perception-for-preoperative-posteri/</link>
      <pubDate>Sun, 03 May 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;本文提出显著诊断价值感知方法（SDVP），用于后颅窝肿瘤的术前准确诊断。该方法整合MRI影像与放射学报告，从三个互补视角学习关键诊断线索：通过对抗性样本内对比学习增强跨中心与设备差异的鲁棒性；借助知识增强的样本内对比学习提取专家引导的样本特异性特征；并在干净MRI样本上进行监督式类间对比学习以强化类别特征。&lt;/p&gt;
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      <title>Anatomical consistency distillation and inconsistency synthesis for brain tumor segmentation with missing modalities</title>
      <link>https://vilab.team/publication/anatomical-consistency-distillation-and-inconsistency-synthe/</link>
      <pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;本文提出ACDIS框架，用于解决脑肿瘤分割中MRI模态缺失的问题。通过解剖一致性蒸馏将多模态图像中的共享解剖结构迁移至单模态表示，并利用模态特征合成块生成模态特定特征，从而增强单模态图像在特定区域的组织表现。该方法有效缓解了模态缺失带来的性能下降，提升了分割精度。&lt;/p&gt;
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