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fmri-task-based-analysis

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SinaGhaffarzadeh / Functional-MRI-denoising-using-data-driven-multi-step-deep-neural-network

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A novel method for sampling the active and noisy areas is proposed by using the purification of gray and non-gray matter areas of fMRI data. Also, a data-driven network is proposed in a parallel, multi-step and integrated manner for optimal noise reduction of t-fMRI data.

deep-learning data-driven signal-processing denoising fmri-data-analysis fmri-task-based-analysis
  • Updated Feb 2, 2024
  • Python

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