Author

J. Elefteriades

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· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

L. Liang· 3 shared W. Sun· 3 shared M. Liu· 2 shared A. Kalyanasundaram· 1 shared C. Sun· 1 shared T. Qin· 1 shared

Activity by Year

2023-2023 · peak 3/yr

Co-Author Collaboration Network

6 top collaborators · 12 mutual co-author links

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3 shared papersBioengineering

L. Liang

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3 papers

Recent·Most cited

Biomechanical stress analysis of Type-A aortic dissection at pre-dissection, post-dissection, and post-repair states

C. Sun, T. Qin, A. Kalyanasundaram, J. Elefteriades, W. Sun, L. Liang

This study uses finite element analysis on CT images to analyze biomechanical stress changes in aortic dissection across pre-dissection, post-dissection, and post-repair states, revealing increased wall stress and stress concentration regions.

bioRxiv · Oct 6, 2023Bioengineering

Synergistic Integration of Deep Neural Networks and Finite Element Method with Applications for Biomechanical Analysis of Human Aorta

L. Liang, M. Liu, J. Elefteriades, W. Sun

This paper integrates deep neural networks with finite element methods to improve biomechanical analysis of the human aorta, reducing errors and computational time.

bioRxiv · Apr 3, 2023Bioengineering

PyTorch-FEA: Autograd-enabled Finite Element Analysis Methods with Applications for Biomechanical Analysis of Human Aorta

L. Liang, M. Liu, J. Elefteriades, W. Sun

PyTorch-FEA improves computational efficiency and accuracy in biomechanical analysis of human aorta using autograd and deep learning.

bioRxiv · Mar 27, 2023Bioengineering