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Journal Abstract Search

231 related items for PubMed ID: 37138549

  • 21. Automatic multiorgan segmentation in thorax CT images using U-net-GAN.
    Dong X, Lei Y, Wang T, Thomas M, Tang L, Curran WJ, Liu T, Yang X.
    Med Phys; 2019 May; 46(5):2157-2168. PubMed ID: 30810231
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  • 23. Deep learning architecture with transformer and semantic field alignment for voxel-level dose prediction on brain tumors.
    Yang J, Zhao Y, Zhang F, Liao M, Yang X.
    Med Phys; 2023 Feb; 50(2):1149-1161. PubMed ID: 36434793
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  • 24. Intentional deep overfit learning for patient-specific dose predictions in adaptive radiotherapy.
    Maniscalco A, Liang X, Lin MH, Jiang S, Nguyen D.
    Med Phys; 2023 Sep; 50(9):5354-5363. PubMed ID: 37459122
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  • 27. Efficient dose-volume histogram-based pretreatment patient-specific quality assurance methodology with combined deep learning and machine learning models for volumetric modulated arc radiotherapy.
    Gong C, Zhu K, Lin C, Han C, Lu Z, Chen Y, Yu C, Hou L, Zhou Y, Yi J, Ai Y, Xiang X, Xie C, Jin X.
    Med Phys; 2022 Dec; 49(12):7779-7790. PubMed ID: 36190117
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  • 29. Heuristic knowledge-based planning for single-isocenter stereotactic radiosurgery to multiple brain metastases.
    Ziemer BP, Sanghvi P, Hattangadi-Gluth J, Moore KL.
    Med Phys; 2017 Oct; 44(10):5001-5009. PubMed ID: 28731267
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  • 30. Deep learning based MLC aperture and monitor unit prediction as a warm start for breast VMAT optimisation.
    Vandewinckele L, Reynders T, Weltens C, Maes F, Crijns W.
    Phys Med Biol; 2023 Nov 16; 68(22):. PubMed ID: 37903442
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  • 31. 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; 2023 Nov 16; 48(1):44-50. PubMed ID: 36400649
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  • 35. OpenKBP-Opt: an international and reproducible evaluation of 76 knowledge-based planning pipelines.
    Babier A, Mahmood R, Zhang B, Alves VGL, Barragán-Montero AM, Beaudry J, Cardenas CE, Chang Y, Chen Z, Chun J, Diaz K, David Eraso H, Faustmann E, Gaj S, Gay S, Gronberg M, Guo B, He J, Heilemann G, Hira S, Huang Y, Ji F, Jiang D, Carlo Jimenez Giraldo J, Lee H, Lian J, Liu S, Liu KC, Marrugo J, Miki K, Nakamura K, Netherton T, Nguyen D, Nourzadeh H, Osman AFI, Peng Z, Darío Quinto Muñoz J, Ramsl C, Joo Rhee D, David Rodriguez J, Shan H, Siebers JV, Soomro MH, Sun K, Usuga Hoyos A, Valderrama C, Verbeek R, Wang E, Willems S, Wu Q, Xu X, Yang S, Yuan L, Zhu S, Zimmermann L, Moore KL, Purdie TG, McNiven AL, Chan TCY.
    Phys Med Biol; 2022 Sep 12; 67(18):. PubMed ID: 36093921
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  • 36. Data-driven dose calculation algorithm based on deep U-Net.
    Fan J, Xing L, Dong P, Wang J, Hu W, Yang Y.
    Phys Med Biol; 2020 Dec 22; 65(24):245035. PubMed ID: 33181506
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  • 37. Prediction of dose distributions for non-small cell lung cancer patients using MHA-ResUNet.
    Zhang H, Yu Y, Zhang F.
    Med Phys; 2024 Oct 22; 51(10):7345-7355. PubMed ID: 39024495
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  • 38. Technical Note: A feasibility study on deep learning-based radiotherapy dose calculation.
    Xing Y, Nguyen D, Lu W, Yang M, Jiang S.
    Med Phys; 2020 Feb 22; 47(2):753-758. PubMed ID: 31808948
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  • 39. Improving 3D dose prediction for breast radiotherapy using novel glowing masks and gradient-weighted loss functions.
    Moore LC, Nematollahi F, Li L, Meyers SM, Kisling K.
    Med Phys; 2024 Oct 22; 51(10):7453-7463. PubMed ID: 39088756
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  • 40. Automated treatment planning for proton pencil beam scanning using deep learning dose prediction and dose-mimicking optimization.
    Maes D, Holmstrom M, Helander R, Saini J, Fang C, Bowen SR.
    J Appl Clin Med Phys; 2023 Oct 22; 24(10):e14065. PubMed ID: 37334746
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