Author

S. Miyahara

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

Biology Disciplines

Click to filter author papers

Microbiology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

R. Ozuru· 2 shared Y. Oyamada· 2 shared F. Obata· 1 shared J. Fujii· 1 shared K. Hiromatsu· 1 shared M. Saito· 1 shared M. Yoshimura· 1 shared R. Nakano· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersMicrobiology

R. Ozuru

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Emulating Visual Evaluations in the Microscopic Agglutination Test with Deep Learning

R. Nakano, Y. Oyamada, R. Ozuru, S. Miyahara, M. Yoshimura, K. Hiromatsu

This paper develops a deep learning model to estimate agglutination rates in the Microscopic Agglutination Test (MAT) for leptospirosis, achieving accurate results and improving model interpretability.

bioRxiv · Apr 9, 2024Microbiology

A Machine Learning Model of Microscopic Agglutination Test for Diagnosis of Leptospirosis

Y. Oyamada, R. Ozuru, T. Masuzawa, S. Miyahara, Y. Nikaido, F. Obata, M. Saito, S. Y. A. M. Villanueva, J. Fujii

This paper develops a machine learning model to automate the Microscopic Agglutination Test (MAT) for leptospirosis diagnosis by improving classification accuracy using wavelet coefficient histograms.

bioRxiv · Dec 8, 2020Microbiology