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Towards 3D Deep Learning for neuropsychiatry: predicting Autism diagnosis using an interpretable Deep Learning pipeline applied to minimally processed structural MRI data

2022-10-20

Abstract excerpt

1 By capitalizing on the power of multivariate analyses of large datasets, predictive modeling approaches are enabling progress toward robust and reproducible brain-based markers of neuropsychiatric conditions. While Deep Learning offers a particularly promising avenue to further advance progress, there are challenges related to implementation in 3D (best for MRI) and interpretability. Here, we address these chall...

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Literature Corpus work
ce236ee5-8a0c-586c-80f4-915be4cca3ed
DOI
10.1101/2022.10.18.22281196
Open publication

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Towards 3D Deep Learning for neuropsychiatry: predicting Autism diagnosis using an interpretable Deep Learning pipeline applied to minimally processed structural MRI dataDOI 10.1101/2022.10.18.22281196
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