David A. Hormuth, II

Research Scientist | Biomedical Engineering + Imaging Science > > Computational Oncology

Systematic evaluation of MRI-based characterization of tumor-associated vascular morphology and hemodynamics via a dynamic digital phantom


Journal article


Chengyue Wu, D. Hormuth, T. Easley, Federico D Pineda, G. Karczmar, T. Yankeelov
Journal of Medical Imaging, 2024

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APA   Click to copy
Wu, C., Hormuth, D., Easley, T., Pineda, F. D., Karczmar, G., & Yankeelov, T. (2024). Systematic evaluation of MRI-based characterization of tumor-associated vascular morphology and hemodynamics via a dynamic digital phantom. Journal of Medical Imaging.


Chicago/Turabian   Click to copy
Wu, Chengyue, D. Hormuth, T. Easley, Federico D Pineda, G. Karczmar, and T. Yankeelov. “Systematic Evaluation of MRI-Based Characterization of Tumor-Associated Vascular Morphology and Hemodynamics via a Dynamic Digital Phantom.” Journal of Medical Imaging (2024).


MLA   Click to copy
Wu, Chengyue, et al. “Systematic Evaluation of MRI-Based Characterization of Tumor-Associated Vascular Morphology and Hemodynamics via a Dynamic Digital Phantom.” Journal of Medical Imaging, 2024.


BibTeX   Click to copy

@article{chengyue2024a,
  title = {Systematic evaluation of MRI-based characterization of tumor-associated vascular morphology and hemodynamics via a dynamic digital phantom},
  year = {2024},
  journal = {Journal of Medical Imaging},
  author = {Wu, Chengyue and Hormuth, D. and Easley, T. and Pineda, Federico D and Karczmar, G. and Yankeelov, T.}
}