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Harnessing spatial homogeneity of neuroimaging data: patch individual filter layers for CNNs
Neuroimaging data, e. g. obtained from magnetic resonance imaging (MRI), is comparably homogeneous due to (1) the uniform structure of the brain and (2) additional efforts to spatially normalize the data to a standard template using linear and non-linear transformations.
Harnessing spatial MRI normalization: patch individual filter layers for CNNs
Neuroimaging studies based on magnetic resonance imaging (MRI) typically employ rigorous forms of preprocessing.
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