Author

Ya-Lun Wu

National Institutes of HealthORCID 0000-0001-5658-6942Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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 Research Focus:spatial domain detection· 1

Frequent Co-Authors

C.-C. Cheng· 1 shared Chih-Lin LeeiD· 1 shared Ching‐Han HsuiD· 1 shared Jyun-Huei Tsai· 1 shared Kuan-Yi Lu· 1 shared Li-Wen Wang· 1 shared Li‐An ChuiD· 1 shared Tsung-Han KuoiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

C.-C. Cheng

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1 paper

Recent·Most cited

A Weakly Supervised U-Net Model for Precise Whole Brain Immunolabeled Cell Detection

Li-Wen Wang, Ya-Lun Wu, Chih-Lin Lee, C.-C. Cheng, Kuan-Yi Lu, Jyun-Huei Tsai, Ya‐Hui Lin, Ching‐Han Hsu, Tsung-Han Kuo, Li‐An Chu

The paper develops a weakly supervised U-Net model for precise segmentation of whole brain immunolabeled cell signals, revealing distinct neural activity maps related to social motivations.

bioRxiv · Mar 16, 2023 · PreprintNeuroscience