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Journal Abstract Search

158 related items for PubMed ID: 34794138

  • 21. Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis.
    Liu P, Sun Y, Zhao X, Yan Y.
    Biomed Eng Online; 2023 Nov 01; 22(1):104. PubMed ID: 37915046
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  • 22. Self-channel-and-spatial-attention neural network for automated multi-organ segmentation on head and neck CT images.
    Gou S, Tong N, Qi S, Yang S, Chin R, Sheng K.
    Phys Med Biol; 2020 Dec 11; 65(24):245034. PubMed ID: 32097892
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  • 24. Synthetic CT-aided multiorgan segmentation for CBCT-guided adaptive pancreatic radiotherapy.
    Dai X, Lei Y, Wynne J, Janopaul-Naylor J, Wang T, Roper J, Curran WJ, Liu T, Patel P, Yang X.
    Med Phys; 2021 Nov 11; 48(11):7063-7073. PubMed ID: 34609745
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  • 25. A Preliminary Experience of Implementing Deep-Learning Based Auto-Segmentation in Head and Neck Cancer: A Study on Real-World Clinical Cases.
    Zhong Y, Yang Y, Fang Y, Wang J, Hu W.
    Front Oncol; 2021 Nov 11; 11():638197. PubMed ID: 34026615
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  • 28. Geometric and dosimetric evaluations of atlas-based segmentation methods of MR images in the head and neck region.
    Kieselmann JP, Kamerling CP, Burgos N, Menten MJ, Fuller CD, Nill S, Cardoso MJ, Oelfke U.
    Phys Med Biol; 2018 Jul 11; 63(14):145007. PubMed ID: 29882749
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  • 29. Mutual enhancing learning-based automatic segmentation of CT cardiac substructure.
    Momin S, Lei Y, McCall NS, Zhang J, Roper J, Harms J, Tian S, Lloyd MS, Liu T, Bradley JD, Higgins K, Yang X.
    Phys Med Biol; 2022 May 11; 67(10):. PubMed ID: 35447610
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  • 30. Interleaved 3D-CNNs for joint segmentation of small-volume structures in head and neck CT images.
    Ren X, Xiang L, Nie D, Shao Y, Zhang H, Shen D, Wang Q.
    Med Phys; 2018 May 11; 45(5):2063-2075. PubMed ID: 29480928
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  • 34. Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring.
    van Dijk LV, Van den Bosch L, Aljabar P, Peressutti D, Both S, J H M Steenbakkers R, Langendijk JA, Gooding MJ, Brouwer CL.
    Radiother Oncol; 2020 Jan 11; 142():115-123. PubMed ID: 31653573
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  • 35. Technical Note: More accurate and efficient segmentation of organs-at-risk in radiotherapy with convolutional neural networks cascades.
    Men K, Geng H, Cheng C, Zhong H, Huang M, Fan Y, Plastaras JP, Lin A, Xiao Y.
    Med Phys; 2019 Jan 11; 46(1):286-292. PubMed ID: 30450825
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  • 37. 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 11; 23(7):e13630. PubMed ID: 35533234
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  • 38. Auto-segmentation of organs at risk for head and neck radiotherapy planning: From atlas-based to deep learning methods.
    Vrtovec T, Močnik D, Strojan P, Pernuš F, Ibragimov B.
    Med Phys; 2020 Sep 11; 47(9):e929-e950. PubMed ID: 32510603
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