Journal article
Frontiers in Artificial Intelligence, vol. 6, 2023, p. 1222612
APA
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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
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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
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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}
}