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Journal Abstract Search

178 related items for PubMed ID: 36697347

  • 1. Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans.
    Gronberg MP, Beadle BM, Garden AS, Skinner H, Gay S, Netherton T, Cao W, Cardenas CE, Chung C, Fuentes DT, Fuller CD, Howell RM, Jhingran A, Lim TY, Marquez B, Mumme R, Olanrewaju AM, Peterson CB, Vazquez I, Whitaker TJ, Wooten Z, Yang M, Court LE.
    Pract Radiat Oncol; 2023; 13(3):e282-e291. PubMed ID: 36697347
    [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; 23(7):e13630. PubMed ID: 35533234
    [Abstract] [Full Text] [Related]

  • 3. Deep learning-based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers.
    Gronberg MP, Jhingran A, Netherton TJ, Gay SS, Cardenas CE, Chung C, Fuentes D, Fuller CD, Howell RM, Khan M, Lim TY, Marquez B, Olanrewaju AM, Peterson CB, Vazquez I, Whitaker TJ, Wooten Z, Yang M, Court LE.
    Med Phys; 2023 Nov; 50(11):6639-6648. PubMed ID: 37706560
    [Abstract] [Full Text] [Related]

  • 4. 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; 24(9):e14015. PubMed ID: 37138549
    [Abstract] [Full Text] [Related]

  • 5. Can knowledge-based DVH predictions be used for automated, individualized quality assurance of radiotherapy treatment plans?
    Tol JP, Dahele M, Delaney AR, Slotman BJ, Verbakel WF.
    Radiat Oncol; 2015 Nov 19; 10():234. PubMed ID: 26584574
    [Abstract] [Full Text] [Related]

  • 6. Modeling the dosimetry of organ-at-risk in head and neck IMRT planning: an intertechnique and interinstitutional study.
    Lian J, Yuan L, Ge Y, Chera BS, Yoo DP, Chang S, Yin F, Wu QJ.
    Med Phys; 2013 Dec 19; 40(12):121704. PubMed ID: 24320490
    [Abstract] [Full Text] [Related]

  • 7. Automatic dose prediction using deep learning and plan optimization with finite-element control for intensity modulated radiation therapy.
    Shen Y, Tang X, Lin S, Jin X, Ding J, Shao M.
    Med Phys; 2024 Jan 19; 51(1):545-555. PubMed ID: 37748133
    [Abstract] [Full Text] [Related]

  • 8. Evaluating the plan quality of a general head-and-neck knowledge-based planning model versus separate unilateral/bilateral models.
    Luca K, Roper J, Wolf J, Kayode O, Bradley J, Stokes WA, Zhang J.
    Med Dosim; 2024 Jan 19; 48(1):44-50. PubMed ID: 36400649
    [Abstract] [Full Text] [Related]

  • 9. Knowledge-based planning for the radiation therapy treatment plan quality assurance for patients with head and neck cancer.
    Cao W, Gronberg M, Olanrewaju A, Whitaker T, Hoffman K, Cardenas C, Garden A, Skinner H, Beadle B, Court L.
    J Appl Clin Med Phys; 2022 Jun 19; 23(6):e13614. PubMed ID: 35488508
    [Abstract] [Full Text] [Related]

  • 10. Quantitative analysis of the factors which affect the interpatient organ-at-risk dose sparing variation in IMRT plans.
    Yuan L, Ge Y, Lee WR, Yin FF, Kirkpatrick JP, Wu QJ.
    Med Phys; 2012 Nov 19; 39(11):6868-78. PubMed ID: 23127079
    [Abstract] [Full Text] [Related]

  • 11. A method for a priori estimation of best feasible DVH for organs-at-risk: Validation for head and neck VMAT planning.
    Ahmed S, Nelms B, Gintz D, Caudell J, Zhang G, Moros EG, Feygelman V.
    Med Phys; 2017 Oct 19; 44(10):5486-5497. PubMed ID: 28777469
    [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. Knowledge-based prediction of three-dimensional dose distributions for external beam radiotherapy.
    Shiraishi S, Moore KL.
    Med Phys; 2016 Jan 17; 43(1):378. PubMed ID: 26745931
    [Abstract] [Full Text] [Related]

  • 14.
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  • 15. Evaluation of a knowledge-based planning solution for head and neck cancer.
    Tol JP, Delaney AR, Dahele M, Slotman BJ, Verbakel WF.
    Int J Radiat Oncol Biol Phys; 2015 Mar 01; 91(3):612-20. PubMed ID: 25680603
    [Abstract] [Full Text] [Related]

  • 16. Site-agnostic 3D dose distribution prediction with deep learning neural networks.
    Mashayekhi M, Tapia IR, Balagopal A, Zhong X, Barkousaraie AS, McBeth R, Lin MH, Jiang S, Nguyen D.
    Med Phys; 2022 Mar 01; 49(3):1391-1406. PubMed ID: 35037276
    [Abstract] [Full Text] [Related]

  • 17. Semiautomated head-and-neck IMRT planning using dose warping and scaling to robustly adapt plans in a knowledge database containing potentially suboptimal plans.
    Schmidt M, Lo JY, Grzetic S, Lutzky C, Brizel DM, Das SK.
    Med Phys; 2015 Aug 01; 42(8):4428-34. PubMed ID: 26233173
    [Abstract] [Full Text] [Related]

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  • 19. PTV-based IMPT optimization incorporating planning risk volumes vs robust optimization.
    Liu W, Frank SJ, Li X, Li Y, Zhu RX, Mohan R.
    Med Phys; 2013 Feb 01; 40(2):021709. PubMed ID: 23387732
    [Abstract] [Full Text] [Related]

  • 20. The dosimetric impact of deep learning-based auto-segmentation of organs at risk on nasopharyngeal and rectal cancer.
    Guo H, Wang J, Xia X, Zhong Y, Peng J, Zhang Z, Hu W.
    Radiat Oncol; 2021 Jun 23; 16(1):113. PubMed ID: 34162410
    [Abstract] [Full Text] [Related]

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