Arash Ghorbannia, Ph.D.

Research Assistant Professor | Medical Modeling & Simulation | OERI, VHS, NCCMMS, EnMed

Office of Enterprise Research and Innovation (OERI) | Macon and Joan Brock Virginia Health Sciences (VHS) | National Center for Collaboration in Medical Modeling & Simulation (NCCMMS) | Institute for Engineering in Medicine, Health, and Human Performance (EnMed)

Old Dominion University

Systematic characterization and automated alignment of coronary tree geometries

Conference paper

Arash Ghorbannia, Amanda Randles
2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, 2024, pp. 1--4

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Cite

APA Click to copy
Ghorbannia, A., & Randles, A. (2024). Systematic characterization and automated alignment of coronary tree geometries. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1–4). IEEE.

Chicago/Turabian Click to copy
Ghorbannia, Arash, and Amanda Randles. “Systematic Characterization and Automated Alignment of Coronary Tree Geometries.” In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1–4. IEEE, 2024.

MLA Click to copy
Ghorbannia, Arash, and Amanda Randles. “Systematic Characterization and Automated Alignment of Coronary Tree Geometries.” 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, 2024, pp. 1–4.

BibTeX Click to copy

@inproceedings{ghorbannia2024a,
  title = {Systematic characterization and automated alignment of coronary tree geometries},
  year = {2024},
  organization = {IEEE},
  pages = {1--4},
  author = {Ghorbannia, Arash and Randles, Amanda},
  booktitle = {2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)}
}