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

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.

Python