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Updated: Jan 6, 2026

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MJNMF-GAT:多任务联合非负矩阵因子化图表注意力网络,以了解青少年神经发育

Binish Patel1, Tony W Wilson2, Julia M Stephen3

  • 1Biomedical Engineering Department, Tulane University, New Orleans, LA 70118, USA.

IEEE access : practical innovations, open solutions
|October 8, 2025
PubMed
概括

我们开发了一种新的AI模型,MJNMF-GAT,用于分析多个功能磁共振成像 (fMRI) 任务中的大脑活动. 该模型准确地预测了青少年与年龄相关的大脑变化,并确定了参与神经发育的关键大脑网络.

关键词:
年龄预测年龄预测深度学习是一种深度学习.功能磁力共振成像 (fMRI) 是一种图表注意力网络 图表注意力网络多任务处理能力.神经发育的神经发育

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