Author

Gema Puspa Sari

Nara Institute of Science and TechnologyORCID 0009-0008-4744-545XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Ayako IsotaniiD· 1 shared Mohiuddin SaifullahiD· 1 shared Yassin TerkiiD· 1 shared Yuichi SakumuraiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Ayako IsotaniORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 3, 2025

Non-invasive estrous cycle classification in mice using convolutional neural networks

Yassin Terki, Mohiuddin Saifullah, Gema Puspa Sari…·Yuichi Sakumura

This paper develops a CNN-based method to classify estrous cycle phases in mice using external genital images, achieving over 83% accuracy with a custom lightweight model.

DOI 10.1101/2025.10.03.680273

mouseimaging

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