Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks
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DOI: 10.1142/s0129065720500124
Abstract: Deep learning models for MRI classification face two recurring problems: they are typically limited by low sample size, and are abstracted by their own complexity (the "black box problem"). In this paper, we train a… read more here.
Keywords: ensemble deep; mixed site; versus; large mixed ... See more keywords