Author

Y. Toyoshima

Japan Science and Technology Agency

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:imaging· 2 Organism:C. elegans· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Hasegawa· 1 shared A. Kakita· 1 shared A. Sato· 1 shared A. Ueda· 1 shared H. Hashidate· 1 shared H. Nozaki· 1 shared K. Akazawa· 1 shared K. Tainaka· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperPathology

A. Hasegawa

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2 papers

Recent·Most cited

Small Vessel Diseases: 3D Characteristics of the Vasculature and White Matter

R. Saito, K. Tainaka, H. Nozaki, M. Uemura, Y. Toyoshima, M. Suzuki, M. Tanaka, A. Hasegawa, T. Abe, A. Sato, H. Hashidate, S. Igarashi, R. Koike, A. Ueda, M. Ueda, , A. Kakita

This study examines 2D and 3D vascular and white matter changes in CADASIL, HTRA1-AD, and sSVD using light-sheet fluorescence microscopy, revealing distinct patterns of degeneration.

bioRxiv · Jun 30, 2021 · PreprintPathology

An ensemble learning approach to auto-annotation for whole-brain C. elegans imaging

Stephen Wu, Y. Toyoshima, M.S. Jang, M. Kanamori, Takayuki Teramoto, Yuishi Iwasaki, Takeshi Ishihara, Yuichi Iino, Ryo Yoshida

This study develops an ensemble learning approach for automated annotation of whole-brain C. elegans imaging data, achieving 25% error in neuron annotation.

bioRxiv · Nov 7, 2018 · PreprintBioinformatics