May 13, 2024, 4:42 a.m. | Yuqi Fang, Junhao Zhang, Linmin Wang, Qianqian Wang, Mingxia Liu

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.06178v1 Announce Type: cross
Abstract: Functional magnetic resonance imaging (fMRI) has been increasingly employed to investigate functional brain activity. Many fMRI-related software/toolboxes have been developed, providing specialized algorithms for fMRI analysis. However, existing toolboxes seldom consider fMRI data augmentation, which is quite useful, especially in studies with limited or imbalanced data. Moreover, current studies usually focus on analyzing fMRI using conventional machine learning models that rely on human-engineered fMRI features, without investigating deep learning models that can automatically learn data-driven …

abstract algorithms analysis arxiv augmentation brain brain activity computation cs.lg data eess.iv fmri functional however imaging mri network q-bio.nc software studies type

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