Author

Juha P. Väyrynen

Oulu University HospitalORCID 0000-0002-8683-2996Unclaimed 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 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1 Assay:multiome· 1 Research Focus:spatial domain detection· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Abu Bakr AzamiD· 1 shared Angela Maria TakanoiD· 1 shared Bok Leong Chua· 1 shared Chun Yuen ChowiD· 1 shared Daniel S.W. TaniD· 1 shared Felicia Yu Ting WeeiD· 1 shared Jeffrey Chun Tatt LimiD· 1 shared Joe Poh-Sheng YeongiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperImmunology

Abu Bakr AzamORCID

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1 paper

Recent·Most cited

ImmunologybioRxivPreprintNov 12, 2023

Comparing virtual staining artificial intelligence model performance on same-tissue versus serial-tissue sections based on CD3+ T-cell ground truth

Abu Bakr Azam, Felicia Yu Ting Wee, Juha P. Väyrynen…·Yiyu Cai

This study compares a virtual staining AI model's performance on same-tissue versus serial-tissue sections using CD3+ T-cell ground truth, finding better performance with same-tissue data.

DOI 10.1101/2023.11.12.565422

humanimaging

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