Author

Taeouk Kim

University of MichiganORCID 0000-0003-2690-123XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Alberto Figueroa· 2 shared Abhilash Reddy MalipeddiiD· 1 shared Jesse CapecelatroiD· 1 shared Nicholas Burris· 1 shared Timothy Baker· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersBioengineering

Alberto Figueroa

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintMay 22, 2026

Vascular Deformation Mapping Calibration with Physics-based Synthetic Data on Multi-axial Aortic Motion

Taeouk Kim, Timothy Baker, Nicholas Burris, Alberto Figueroa

This paper calibrates penalty parameters in vascular deformation mapping using synthetic data to improve 3D aortic deformation analysis in health and disease.

DOI 10.64898/2026.05.20.726669

humanimaging

𝕏 PostBluesky

BioengineeringbioRxivPreprintMay 19, 2026

A direct forcing immersed boundary method for biofluid simulations using a non-linear rotation free shell model on unstructured grids

Taeouk Kim, Abhilash Reddy Malipeddi, Jesse Capecelatro, Alberto Figueroa

This paper introduces an immersed boundary method for simulating thin structures in incompressible flow using a nonlinear rotation-free shell model on unstructured grids, validated with benchmark problems and applied to aortic dissection.

DOI 10.64898/2026.05.16.725689

humandeep learning

𝕏 PostBluesky