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Updated: Aug 1, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

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TractGeoNet:一个几何深度学习框架,用于点对点分析路径微观结构,以预测语言评估绩效

Yuqian Chen1, Leo R Zekelman2, Chaoyi Zhang3

  • 1Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; School of Computer Science, The University of Sydney, Sydney, NSW, Australia.

Medical image analysis
|March 8, 2024
PubMed
概括

TractGeoNet是一个新的几何深度学习框架,使用扩散磁共振成像 (MRI) 曲谱来通过分析白质纤维来预测语言表现. 它识别了关键的大脑区域,在将大脑结构与认知特征联系起来方面表现优于传统方法.

关键词:
深度学习是一种深度学习.语言神经心理评估语言神经心理评估一个点云点云.地区本地化 地区本地化白物质通道是白物质的通道.在dMRI路谱图中,dMRI路谱图

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Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping13:12

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

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Selected Data About Geographic Locations

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