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Data-driven Modeling of Thrombus Size and Shape in Aortic Dissections: Role of Hemodynamics
Alireza Yazdani, He Li, Matthew R. Bersi, Paolo Di Achille, Joseph Insley, Jay D. Humphrey, George Em Karniadakis
doi: https://doi.org/10.1101/187914
Alireza Yazdani
1Division of Applied Mathematics, Brown University, Providence, RI 02912
He Li
1Division of Applied Mathematics, Brown University, Providence, RI 02912
Matthew R. Bersi
2Department of Biomedical Engineering, Yale University, New Haven, CT 06520
Paolo Di Achille
2Department of Biomedical Engineering, Yale University, New Haven, CT 06520
Joseph Insley
3Argonne National Laboratory, Argonne, IL 60439; Northern Illinois University, DeKalb, IL 60115
Jay D. Humphrey
2Department of Biomedical Engineering, Yale University, New Haven, CT 06520
George Em Karniadakis
1Division of Applied Mathematics, Brown University, Providence, RI 02912
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Posted September 12, 2017.
Data-driven Modeling of Thrombus Size and Shape in Aortic Dissections: Role of Hemodynamics
Alireza Yazdani, He Li, Matthew R. Bersi, Paolo Di Achille, Joseph Insley, Jay D. Humphrey, George Em Karniadakis
bioRxiv 187914; doi: https://doi.org/10.1101/187914
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