Author

T. Ijaseun

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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Bioengineering· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:imaging· 2 Organism:zebrafish· 2 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

H. Cao· 2 shared J. Lee· 2 shared B. Zhang· 1 shared C. Villarreal· 1 shared C.-J. Chuong· 1 shared J. Lim· 1 shared K. Pas· 1 shared N. Salehin· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioengineering

H. Cao

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2 papers

Recent·Most cited

FEATURE DETECTION TO SEGMENT CARDIOMYOCYTE NUCLEI FOR INVESTIGATING CARDIAC CONTRACTILITY

T. Teranikar, C. Villarreal, N. Salehin, J. Lim, T. Ijaseun, H. Cao, C.-J. Chuong, J. Lee

This paper introduces an improved feature detection framework to segment cardiomyocyte nuclei in zebrafish hearts, enabling quantitative analysis of cardiac contractility across developmental stages.

bioRxiv · Mar 3, 2021 · PreprintBioengineering

Automatic segmentation and cardiac mechanics analysis of evolving zebrafish using deep-learning

B. Zhang, K. Pas, T. Ijaseun, H. Cao, P. Fei, J. Lee

The paper develops a deep-learning method to segment and analyze cardiac mechanics in developing zebrafish, revealing incremental volume changes in ventricles and stable stroke volume in atria.

bioRxiv · Feb 21, 2021Bioengineering