Author

Crystal M. Cooper

Cook Children's Medical CenterORCID 0000-0002-5312-1370Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:batch correction / integration· 1 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Madhukar H. TrivediiD· 2 shared Mary Louise PhillipsiD· 2 shared Maurizio Fava M. DiD· 2 shared Myrna M. WeissmaniD· 2 shared Patrick J. McGrathiD· 2 shared Albert MontilloiD· 1 shared Alex TreacheriD· 1 shared Benji T. Kurian· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Madhukar H. TrivediORCID

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2 papers

Recent·Most cited

BioinformaticsBiological PsychiatryPeer-reviewedMar 1, 2022

Predictive Patterns of Antidepressant Response from Pre-Treatment Reward Processing using Functional MRI and Deep Learning: Key Results from the EMBARC Randomized Clinical Trial

Kevin P. Nguyen, Cherise Chin Fatt, Alex Treacher…·Albert Montillo

This paper uses deep learning on pre-treatment reward processing fMRI and clinical data to predict antidepressant outcomes, achieving up to 37% variance explained and remission prediction with NNT 2-4.

28 citations

humanimaging

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NeuroscienceNeuroImagePeer-reviewedNov 20, 2017

✦ In-depth digest

Harmonization of cortical thickness measurements across scanners and sites

Jean‐Philippe Fortin, Nicholas C. Cullen, Yvette I. Sheline…·Russell Taki Shinohara

ComBat, an empirical Bayes location-and-scale model from genomics, removes additive and multiplicative scanner effects from regional cortical thickness across 11 scanners while preserving age associations.

1,585 citationstop 1%

humanimaging

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