Darsh Gandhi

NSF RTG Fellow and S-STEM Scholar, Math Major at UT Arlington

Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical images


Journal article


MA Bartolo, AM Taylor-LaPole, D Gandhi, A Johnson, Y Li, E Slack, I Stevens, Z Turner, JD Weigand, C Puelz, D Husmeier, MS Olufsen
Journal of Physiology, vol. 602(16), 2024


arXiv
Cite

Cite

APA   Click to copy
Bartolo, M. A., Taylor-LaPole, A. M., Gandhi, D., Johnson, A., Li, Y., Slack, E., … Olufsen, M. S. (2024). Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical images. Journal of Physiology, 602(16). https://doi.org/10.1113/JP286193


Chicago/Turabian   Click to copy
Bartolo, MA, AM Taylor-LaPole, D Gandhi, A Johnson, Y Li, E Slack, I Stevens, et al. “Computational Framework for the Generation of One-Dimensional Vascular Models Accounting for Uncertainty in Networks Extracted from Medical Images.” Journal of Physiology 602, no. 16 (2024).


MLA   Click to copy
Bartolo, M. A., et al. “Computational Framework for the Generation of One-Dimensional Vascular Models Accounting for Uncertainty in Networks Extracted from Medical Images.” Journal of Physiology, vol. 602, no. 16, 2024, doi:10.1113/JP286193.


BibTeX   Click to copy

@article{ma2024a,
  title = {Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical images},
  year = {2024},
  issue = {16},
  journal = {Journal of Physiology},
  volume = {602},
  doi = {10.1113/JP286193},
  author = {Bartolo, MA and Taylor-LaPole, AM and Gandhi, D and Johnson, A and Li, Y and Slack, E and Stevens, I and Turner, Z and Weigand, JD and Puelz, C and Husmeier, D and Olufsen, MS}
}