Generation of Synthetic CT Images From MRI for Treatment Planning and Patient Positioning Using a 3-Channel U-Net Trained on Sagittal Images
- DOI
- 10.3389/fonc.2019.00964
- Published
- 2019-09-25
- Container
- Frontiers in Oncology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fonc.2019.00964,
title = {Generation of Synthetic CT Images From MRI for Treatment Planning and Patient Positioning Using a 3-Channel U-Net Trained on Sagittal Images},
author = {Dinank Gupta and Michelle Kim and Karen A. Vineberg and James M. Balter},
year = {2019},
journal = {Frontiers in Oncology},
doi = {10.3389/fonc.2019.00964},
url = {https://doi.org/10.3389/fonc.2019.00964}
}RIS
TY - JOUR TI - Generation of Synthetic CT Images From MRI for Treatment Planning and Patient Positioning Using a 3-Channel U-Net Trained on Sagittal Images AU - Dinank Gupta AU - Michelle Kim AU - Karen A. Vineberg AU - James M. Balter PY - 2019 JO - Frontiers in Oncology DO - 10.3389/fonc.2019.00964 UR - https://doi.org/10.3389/fonc.2019.00964 ER -
APA
Gupta, D., Kim, M., Vineberg, K. A., & Balter, J. M. (2019). Generation of Synthetic CT Images From MRI for Treatment Planning and Patient Positioning Using a 3-Channel U-Net Trained on Sagittal Images. Frontiers in Oncology. https://doi.org/10.3389/fonc.2019.00964
Source records
- crossref · retrieved 2026-11-06T12:01:25.198Z