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Brain MRI Segmentation using Template-Based Training and Visual Perception Augmentation
Deep learning models usually require sufficient training data to achieve high accuracy, but obtaining labeled data can be time-consuming and labor-intensive.
FuSSO: Functional Shrinkage and Selection Operator
We present the FuSSO, a functional analogue to the LASSO, that efficiently finds a sparse set of functional input covariates to regress a real-valued response against.
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