Automated Multiclass Artifact Detection in Diffusion MRI Volumes via 3D Residual Squeeze-and-Excitation Convolutional Neural Networks
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DOI: 10.3389/fnhum.2022.877326
Abstract: Diffusion MRI (dMRI) is widely used to investigate neuronal and structural development of brain. dMRI data is often contaminated with various types of artifacts. Hence, artifact type identification in dMRI volumes is an essential pre-processing… read more here.
Keywords: dmri; artifact; dmri volumes; multiclass ... See more keywords