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Journal Abstract Search

588 related items for PubMed ID: 31653573

  • 1. 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; 142():115-123. PubMed ID: 31653573
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  • 5. Multi-subject atlas-based auto-segmentation reduces interobserver variation and improves dosimetric parameter consistency for organs at risk in nasopharyngeal carcinoma: A multi-institution clinical study.
    Tao CJ, Yi JL, Chen NY, Ren W, Cheng J, Tung S, Kong L, Lin SJ, Pan JJ, Zhang GS, Hu J, Qi ZY, Ma J, Lu JD, Yan D, Sun Y.
    Radiother Oncol; 2015 Jun; 115(3):407-11. PubMed ID: 26025546
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  • 7. Comparative clinical evaluation of atlas and deep-learning-based auto-segmentation of organ structures in liver cancer.
    Ahn SH, Yeo AU, Kim KH, Kim C, Goh Y, Cho S, Lee SB, Lim YK, Kim H, Shin D, Kim T, Kim TH, Youn SH, Oh ES, Jeong JH.
    Radiat Oncol; 2019 Nov 27; 14(1):213. PubMed ID: 31775825
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  • 8. vOARiability: Interobserver and intermodality variability analysis in OAR contouring from head and neck CT and MR images.
    Podobnik G, Ibragimov B, Peterlin P, Strojan P, Vrtovec T.
    Med Phys; 2024 Mar 27; 51(3):2175-2186. PubMed ID: 38230752
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  • 10. Geometric and dosimetric analysis of CT- and MR-based automatic contouring for the EPTN contouring atlas in neuro-oncology.
    Vaassen F, Zegers CML, Hofstede D, Wubbels M, Beurskens H, Verheesen L, Canters R, Looney P, Battye M, Gooding MJ, Compter I, Eekers DBP, van Elmpt W.
    Phys Med; 2023 Oct 27; 114():103156. PubMed ID: 37813050
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  • 11. Clinical evaluation of deep learning and atlas-based auto-segmentation for critical organs at risk in radiation therapy.
    Gibbons E, Hoffmann M, Westhuyzen J, Hodgson A, Chick B, Last A.
    J Med Radiat Sci; 2023 Apr 27; 70 Suppl 2(Suppl 2):15-25. PubMed ID: 36148621
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  • 12. Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery.
    Chung SY, Chang JS, Choi MS, Chang Y, Choi BS, Chun J, Keum KC, Kim JS, Kim YB.
    Radiat Oncol; 2021 Feb 25; 16(1):44. PubMed ID: 33632248
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  • 13. Enhancing the Contouring Efficiency for Head and Neck Cancer Radiotherapy Using Atlas-based Auto-segmentation and Scripting.
    Nagayasu Y, Ohira S, Ikawa T, Masaoka A, Kanayama N, Nishi T, Kazunori T, Yoshino Y, Miyazaki M, Ueda Y, Konishi K.
    In Vivo; 2024 Feb 25; 38(4):1712-1718. PubMed ID: 38936930
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  • 15. Clinical Validation of a Deep-Learning Segmentation Software in Head and Neck: An Early Analysis in a Developing Radiation Oncology Center.
    D'Aviero A, Re A, Catucci F, Piccari D, Votta C, Piro D, Piras A, Di Dio C, Iezzi M, Preziosi F, Menna S, Quaranta F, Boschetti A, Marras M, Miccichè F, Gallus R, Indovina L, Bussu F, Valentini V, Cusumano D, Mattiucci GC.
    Int J Environ Res Public Health; 2022 Jul 25; 19(15):. PubMed ID: 35897425
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  • 16. A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy.
    Chen X, Sun S, Bai N, Han K, Liu Q, Yao S, Tang H, Zhang C, Lu Z, Huang Q, Zhao G, Xu Y, Chen T, Xie X, Liu Y.
    Radiother Oncol; 2021 Jul 25; 160():175-184. PubMed ID: 33961914
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  • 17. Evaluating Automatic Segmentation for Swallowing-Related Organs for Head and Neck Cancer.
    Li Y, Rao S, Chen W, Azghadi SF, Nguyen KNB, Moran A, Usera BM, Dyer BA, Shang L, Chen Q, Rong Y.
    Technol Cancer Res Treat; 2022 Jul 25; 21():15330338221105724. PubMed ID: 35790457
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  • 18. Comparing deep learning-based auto-segmentation of organs at risk and clinical target volumes to expert inter-observer variability in radiotherapy planning.
    Wong J, Fong A, McVicar N, Smith S, Giambattista J, Wells D, Kolbeck C, Giambattista J, Gondara L, Alexander A.
    Radiother Oncol; 2020 Mar 25; 144():152-158. PubMed ID: 31812930
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  • 19. Validation of clinical acceptability of an atlas-based segmentation algorithm for the delineation of organs at risk in head and neck cancer.
    Hoang Duc AK, Eminowicz G, Mendes R, Wong SL, McClelland J, Modat M, Cardoso MJ, Mendelson AF, Veiga C, Kadir T, D'Souza D, Ourselin S.
    Med Phys; 2015 Sep 25; 42(9):5027-34. PubMed ID: 26328953
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  • 20. 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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