Author

N. Kakuta

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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Ecology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:clinical cohort / trial· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

A. Ishihara· 1 shared A. Kanaya· 1 shared A. Nakano· 1 shared H. Yano· 1 shared K. Kasahara· 1 shared K. Mikasa· 1 shared M. Manano· 1 shared N. Hirai· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperEcology

A. Ishihara

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Length estimation of fish detected as non-occluded using a smartphone application and deep learning techniques

Y. Shibata, Y. Iwahara, M. Manano, A. Kanaya, R. Sone, S. Tamura, N. Kakuta, T. Nishino, A. Ishihara, S. Kugai

This paper proposes a deep learning method to estimate fish length from images using a smartphone app, achieving less than 3% bias across five species.

bioRxiv · Mar 12, 2023 · PreprintEcology

Inoculum size effects in blaIMP-6 and plasmid-mediated quinolone resistance gene-positive Enterobacteriaceae in Japan

Y. Ogawa, R. Nakano, K. Kasahara, T. Mizuno, N. Hirai, A. Nakano, Y. Suzuki, N. Kakuta, T. Masui, H. Yano, K. Mikasa

This study examines resistance genes and inoculum size effects in IMP-6 MBL-producing Enterobacteriaceae with reduced susceptibility to fluoroquinolones and amikacin in Japan.

bioRxiv · Jan 30, 2019 · PreprintMicrobiology