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Journal Abstract Search

157 related items for PubMed ID: 34087807

  • 1. Learning-based dose prediction for pancreatic stereotactic body radiation therapy using dual pyramid adversarial network.
    Momin S, Lei Y, Wang T, Zhang J, Roper J, Bradley JD, Curran WJ, Patel P, Liu T, Yang X.
    Phys Med Biol; 2021 Jun 21; 66(12):. PubMed ID: 34087807
    [Abstract] [Full Text] [Related]

  • 2. Attention-aware 3D U-Net convolutional neural network for knowledge-based planning 3D dose distribution prediction of head-and-neck cancer.
    Osman AFI, Tamam NM.
    J Appl Clin Med Phys; 2022 Jul 21; 23(7):e13630. PubMed ID: 35533234
    [Abstract] [Full Text] [Related]

  • 3. Assessment of Monte Carlo algorithm for compliance with RTOG 0915 dosimetric criteria in peripheral lung cancer patients treated with stereotactic body radiotherapy.
    Pokhrel D, Sood S, Badkul R, Jiang H, McClinton C, Lominska C, Kumar P, Wang F.
    J Appl Clin Med Phys; 2016 May 08; 17(3):277-293. PubMed ID: 27167284
    [Abstract] [Full Text] [Related]

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  • 5. A comparative study of deep learning-based knowledge-based planning methods for 3D dose distribution prediction of head and neck.
    Osman AFI, Tamam NM, Yousif YAM.
    J Appl Clin Med Phys; 2023 Sep 08; 24(9):e14015. PubMed ID: 37138549
    [Abstract] [Full Text] [Related]

  • 6. Neural network dose models for knowledge-based planning in pancreatic SBRT.
    Campbell WG, Miften M, Olsen L, Stumpf P, Schefter T, Goodman KA, Jones BL.
    Med Phys; 2017 Dec 08; 44(12):6148-6158. PubMed ID: 28994459
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  • 8. Organ-at-risk dose prediction using a machine learning algorithm: Clinical validation and treatment planning benefit for lung SBRT.
    Brodin NP, Schulte L, Velten C, Martin W, Shen S, Shen J, Basavatia A, Ohri N, Garg MK, Carpenter C, Tomé WA.
    J Appl Clin Med Phys; 2022 Jun 08; 23(6):e13609. PubMed ID: 35460150
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  • 10. Transfer learning for fluence map prediction in adrenal stereotactic body radiation therapy.
    Wang W, Sheng Y, Palta M, Czito B, Willett C, Yin FF, Wu Q, Ge Y, Wu QJ.
    Phys Med Biol; 2021 Dec 06; 66(24):. PubMed ID: 34808605
    [Abstract] [Full Text] [Related]

  • 11. [Prediction of three-dimensional dose distribution in intensity-modulated radiation therapy based on neural network learning].
    Kong FT, Mai YH, Qi MK, Wu AQ, Guo FT, Jia QY, Li YB, Song T, Zhou LH.
    Nan Fang Yi Ke Da Xue Xue Bao; 2018 Jun 20; 38(6):683-690. PubMed ID: 29997090
    [Abstract] [Full Text] [Related]

  • 12. Deep learning method for prediction of patient-specific dose distribution in breast cancer.
    Ahn SH, Kim E, Kim C, Cheon W, Kim M, Lee SB, Lim YK, Kim H, Shin D, Kim DY, Jeong JH.
    Radiat Oncol; 2021 Aug 17; 16(1):154. PubMed ID: 34404441
    [Abstract] [Full Text] [Related]

  • 13. A deep learning method for prediction of three-dimensional dose distribution of helical tomotherapy.
    Liu Z, Fan J, Li M, Yan H, Hu Z, Huang P, Tian Y, Miao J, Dai J.
    Med Phys; 2019 May 17; 46(5):1972-1983. PubMed ID: 30870586
    [Abstract] [Full Text] [Related]

  • 14. Elective nodal irradiation with simultaneous integrated boost stereotactic body radiotherapy for pancreatic cancer: Analyses of planning feasibility and geometrically driven DVH prediction model.
    Nakamura A, Prichard HA, Wo JY, Wolfgang JA, Hong TS.
    J Appl Clin Med Phys; 2019 Feb 17; 20(2):71-83. PubMed ID: 30636367
    [Abstract] [Full Text] [Related]

  • 15. An artificial intelligence-driven agent for real-time head-and-neck IMRT plan generation using conditional generative adversarial network (cGAN).
    Li X, Wang C, Sheng Y, Zhang J, Wang W, Yin FF, Wu Q, Wu QJ, Ge Y.
    Med Phys; 2021 Jun 17; 48(6):2714-2723. PubMed ID: 33577108
    [Abstract] [Full Text] [Related]

  • 16. MRI-based treatment planning for liver stereotactic body radiotherapy: validation of a deep learning-based synthetic CT generation method.
    Liu Y, Lei Y, Wang T, Kayode O, Tian S, Liu T, Patel P, Curran WJ, Ren L, Yang X.
    Br J Radiol; 2019 Aug 17; 92(1100):20190067. PubMed ID: 31192695
    [Abstract] [Full Text] [Related]

  • 17. Development of deep neural network for individualized hepatobiliary toxicity prediction after liver SBRT.
    Ibragimov B, Toesca D, Chang D, Yuan Y, Koong A, Xing L.
    Med Phys; 2018 Oct 17; 45(10):4763-4774. PubMed ID: 30098025
    [Abstract] [Full Text] [Related]

  • 18. 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.
    Med Phys; 2020 Mar 17; 47(3):837-849. PubMed ID: 31821577
    [Abstract] [Full Text] [Related]

  • 19. A method of using deep learning to predict three-dimensional dose distributions for intensity-modulated radiotherapy of rectal cancer.
    Zhou J, Peng Z, Song Y, Chang Y, Pei X, Sheng L, Xu XG.
    J Appl Clin Med Phys; 2020 May 17; 21(5):26-37. PubMed ID: 32281254
    [Abstract] [Full Text] [Related]

  • 20. Assessment of HDR brachytherapy-replicating prostate radiotherapy planning for tomotherapy, cyberknife and VMAT.
    de Chavez R, Grogan G, Hug B, Howe K, Grigg A, Waterhouse D, Lane J, Glyde A, Brown E, Bydder S, Pryor D, Hargrave C, Charles PH, Hellyer J, Ebert MA.
    Med Dosim; 2020 May 17; 47(1):61-69. PubMed ID: 34551879
    [Abstract] [Full Text] [Related]

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