Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas


Journal article


Anirban Chaudhuri, Graham Pash, David A Hormuth, Guillermo Lorenzo, Michael Kapteyn, Chengyue Wu, Ernesto ABF Lima, Thomas E Yankeelov, Karen Willcox
Frontiers in Artificial Intelligence, vol. 6, 2023, p. 1222612


Cite

Cite

APA   Click to copy
Chaudhuri, A., Pash, G., Hormuth, D. A., Lorenzo, G., Kapteyn, M., Wu, C., … Willcox, K. (2023). Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas. Frontiers in Artificial Intelligence, 6, 1222612. https://doi.org/10.3389/frai.2023.1222612


Chicago/Turabian   Click to copy
Chaudhuri, Anirban, Graham Pash, David A Hormuth, Guillermo Lorenzo, Michael Kapteyn, Chengyue Wu, Ernesto ABF Lima, Thomas E Yankeelov, and Karen Willcox. “Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas.” Frontiers in Artificial Intelligence 6 (2023): 1222612.


MLA   Click to copy
Chaudhuri, Anirban, et al. “Predictive Digital Twin for Optimizing Patient-Specific Radiotherapy Regimens under Uncertainty in High-Grade Gliomas.” Frontiers in Artificial Intelligence, vol. 6, 2023, p. 1222612, doi:10.3389/frai.2023.1222612.


BibTeX   Click to copy

@article{chaudhuri2023a,
  title = {Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas},
  year = {2023},
  journal = {Frontiers in Artificial Intelligence},
  pages = {1222612},
  volume = {6},
  doi = {10.3389/frai.2023.1222612},
  author = {Chaudhuri, Anirban and Pash, Graham and Hormuth, David A and Lorenzo, Guillermo and Kapteyn, Michael and Wu, Chengyue and Lima, Ernesto ABF and Yankeelov, Thomas E and Willcox, Karen}
}