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Learning robust and task-invariant functional representation from fMRI through Siamese self-supervised learning
DOI:10.1016/j.media.2026.104221.png)
摘要
En 中文
• 一种新颖的自监督表示学习框架用于fMRI。
• ROI对齐的数据增强和掩码提高了鲁棒性。
• 联合图神经网络–卷积神经网络编码器统一了ROI图和体素级图像。
• 可推广到多样化的下游预测任务。
• 统一的ROI级可解释性适用于图和图像输入。
Keyword:
ASD
fMRI
GNN
Contrastive learning
期刊
IF:
11.8
论文数:
3.8K
被引数:
2.4W
机构
引用论文
Jeon, H., Hur, A., Lee, H., Shin, Y.-W., Lee, S.-I., Shin, C.-J., Kim, S., Ju, G., Lee, J., Jung, J. H., Chung, S., & Son, J.-W. (2024). The Relationship Between Brain Activation for Taking Others’ Perspective and Interoceptive Abilities in Autism Spectrum Disorder: An fMRI Study. Journal of Korean Academy of Child and Adolescent Psychiatry, 35(3), 197–209. https://doi.org/10.5765/jkacap.240008Jeon, H., Hur, A., Lee, H., Shin, Y.-W., Lee, S.-I., Shin, C.-J., Kim, S., Ju, G., Lee, J., Jung, J. H., Chung, S., & Son, J.-W. (2024). 从他人视角出发时的脑激活与内感受能力在自闭症谱系障碍中的关系:一项fMRI研究。韩国儿童与青少年精神病学杂志,35(3),197–209. https://doi.org/10.5765/jkacap.240008
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