Author

Takuma Usuzaki

Tohoku UniversityORCID 0000-0002-3945-3432Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:dimensionality reduction· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Akira NaritaiD· 1 shared Aoi NodaiD· 1 shared Atsushi HozawaiD· 1 shared Chizuru Yamanaka· 1 shared Daiki Shimokawa· 1 shared Fumihiko UenoiD· 1 shared Gen TamiyaiD· 1 shared Hirohito MetokiiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Akira NaritaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMar 11, 2021

Exponentiating pixel values for data augmentation to improve deep learning image classification in chest X-rays

Takuma Usuzaki, Kengo Takahashi, Daiki Shimokawa, Kiichi Shibuya

This study evaluates using exponentiated pixel values for data augmentation in CNNs to classify chest X-rays, finding improved test accuracy at specific exponents.

1 citation

imagingmachine learning (classical)

𝕏 PostBluesky

NeuroscienceTranslational PsychiatryPeer-reviewedAug 17, 2020

Clustering by phenotype and genome-wide association study in autism

Akira Narita, Masato Nagai, Satoshi Mizuno…·Shinichi Kuriyama

The paper uses clustering and genome-wide association studies to identify subgroups in autism spectrum disorder and finds significant loci associated with these subgroups.

47 citations

humanGWAS summary statistics

𝕏 PostBluesky