Author

D. A. Nordsletten

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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Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

A. A. Young· 1 shared A. Chowdhury· 1 shared A. E. Stis· 1 shared A. S. Helms· 1 shared B. Baker· 1 shared C. A. Figueroa· 1 shared C. D. Davidson· 1 shared C. S. Chen· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioengineering

A. A. Young

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Author profile →

2 papers

Recent·Most cited

Matrix architecture and mechanics regulate myofibril organization, costamere assembly, and contractility of engineered myocardial microtissues

S. J. DePalma, J. Jillberto, A. E. Stis, D. D. Huang, J. Lo, C. D. Davidson, A. Chowdhury, M. E. Jewett, H. Kobeissi, C. S. Chen, E. Lejeune, A. S. Helms, D. A. Nordsletten, B. Baker

This study investigates how matrix stiffness and alignment affect the structure and contractility of engineered myocardial tissues made from iPSC-derived cardiomyocytes.

bioRxiv · Oct 20, 2023Bioengineering

Cerebrovascular super-resolution 4D Flow MRI - using deep learning to non-invasively quantify velocity, flow, and relative pressure

E. Ferdian, D. Marlevi, J. Schollenberger, M. Aristova, E. R. Edelman, S. Schnell, C. A. Figueroa, D. A. Nordsletten, A. A. Young

This paper develops a deep learning method combined with 4D Flow MRI to generate high-resolution cerebrovascular flow and pressure data, validated in both in-silico and in-vivo settings.

bioRxiv · Aug 25, 2021 · PreprintBioengineering