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Updated: Sep 18, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
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MetaExplainer:从可解释性的角度重新审视功能连接组分析的域概括

Xinmei Qiu1, Yongheng Sun1, Yilin Shi2

  • 1School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China; Research Center for Intelligent Medical Equipment and Devices (IMED), Xi'an Jiaotong University, Xi'an 710049, China.

Medical image analysis
|June 25, 2025
PubMed
概括

本研究介绍了MetaExplainer,这是一种新的框架,可以增强图形神经网络 (GNN) 的解释性和概括性,用于使用fMRI数据诊断神经精神疾病. 它通过学习域异性生物标志物来实现跨中心的诊断准确度,从而获得最先进的结果.

关键词:
域名通用化 域名通用化可以解释的可解释性.图形神经网络是一个神经网络.超级学习 (Meta-learning) 是一种学习方式.功能磁力共振成像 (fMRI) 是一种

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