Author

Yukako Fujie

The University of Osaka

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

Signature Assays, Organisms & Methods

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Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:imaging· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Chentao WeniD· 1 shared Elizabeth M. C. HillmaniD· 1 shared Kazuhiro AokiiD· 1 shared Kazushi Yamaguchi· 1 shared Kei YamamotoiD· 1 shared Kohei OtomoiD· 1 shared Koutarou D. KimuraiD· 1 shared Motosuke TsutsumiiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Chentao WenORCID

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1 paper

Recent·Most cited

Deep-learning-based flexible pipeline for segmenting and tracking cells in 3D image time series for whole brain imaging

Chentao Wen, Takuya Miura, Venkatakaushik Voleti, Kazushi Yamaguchi, Motosuke Tsutsumi, Kei Yamamoto, Kohei Otomo, Yukako Fujie, Takayuki Teramoto, Takeshi Ishihara, Kazuhiro Aoki, Tomomi Nemoto, Elizabeth M. C. Hillman, Koutarou D. Kimura

The paper develops a deep-learning-based pipeline for segmenting and tracking cells in 3D brain imaging data, achieving high accuracy across different conditions and datasets.

eLife · Mar 29, 2021Peer-reviewedBioinformatics