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Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
---|---|
2019 | 1 |
2020 | 3 |
2021 | 1 |
2024 | 0 |
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Page 1
Using deep learning to predict beam-tunable Pareto optimal dose distribution for intensity-modulated radiation therapy.
Med Phys. 2020 Sep;47(9):3898-3912. doi: 10.1002/mp.14374. Epub 2020 Aug 2.
Med Phys. 2020.
PMID: 32621789
Free PMC article.
Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose-volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy.
Nguyen D, McBeth R, Sadeghnejad Barkousaraie A, Bohara G, Shen C, Jia X, Jiang S.
Nguyen D, et al.
Med Phys. 2020 Mar;47(3):837-849. doi: 10.1002/mp.13955. Epub 2019 Dec 29.
Med Phys. 2020.
PMID: 31821577
Free PMC article.
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Operating a treatment planning system using a deep-reinforcement learning-based virtual treatment planner for prostate cancer intensity-modulated radiation therapy treatment planning.
Shen C, Nguyen D, Chen L, Gonzalez Y, McBeth R, Qin N, Jiang SB, Jia X.
Shen C, et al.
Med Phys. 2020 Jun;47(6):2329-2336. doi: 10.1002/mp.14114. Epub 2020 Mar 28.
Med Phys. 2020.
PMID: 32141086
Free PMC article.
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Improving efficiency of training a virtual treatment planner network via knowledge-guided deep reinforcement learning for intelligent automatic treatment planning of radiotherapy.
Shen C, Chen L, Gonzalez Y, Jia X.
Shen C, et al.
Med Phys. 2021 Apr;48(4):1909-1920. doi: 10.1002/mp.14712. Epub 2021 Feb 16.
Med Phys. 2021.
PMID: 33432646
Free PMC article.
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