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Journal Abstract Search

374 related items for PubMed ID: 36148621

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  • 3. 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; 21():15330338221105724. PubMed ID: 35790457
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  • 4. 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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  • 7. Evaluation of auto-segmentation for EBRT planning structures using deep learning-based workflow on cervical cancer.
    Wang J, Chen Y, Xie H, Luo L, Tang Q.
    Sci Rep; 2022 Aug 11; 12(1):13650. PubMed ID: 35953516
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  • 8. Transfer learning for auto-segmentation of 17 organs-at-risk in the head and neck: Bridging the gap between institutional and public datasets.
    Clark B, Hardcastle N, Johnston LA, Korte J.
    Med Phys; 2024 Jul 11; 51(7):4767-4777. PubMed ID: 38376454
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  • 9. 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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  • 14. Feasibility evaluation of novel AI-based deep-learning contouring algorithm for radiotherapy.
    Maduro Bustos LA, Sarkar A, Doyle LA, Andreou K, Noonan J, Nurbagandova D, Shah SA, Irabor OC, Mourtada F.
    J Appl Clin Med Phys; 2023 Nov 25; 24(11):e14090. PubMed ID: 37464581
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  • 15. Geometric evaluations of CT and MRI based deep learning segmentation for brain OARs in radiotherapy.
    Alzahrani N, Henry A, Clark A, Murray L, Nix M, Al-Qaisieh B.
    Phys Med Biol; 2023 Aug 29; 68(17):. PubMed ID: 37579753
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  • 16. Clinical evaluation of deep learning and atlas-based auto-segmentation for organs at risk delineation.
    Yamauchi R, Itazawa T, Kobayashi T, Kashiyama S, Akimoto H, Mizuno N, Kawamori J.
    Med Dosim; 2023 Aug 29; 49(3):167-176. PubMed ID: 38061916
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  • 18. 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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  • 19. 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 25; 114():103156. PubMed ID: 37813050
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  • 20. Evaluation of a deep image-to-image network (DI2IN) auto-segmentation algorithm across a network of cancer centers.
    Rayn K, Gupta V, Mulinti S, Clark R, Magliari A, Chaudhari S, Garima G, Beriwal S.
    J Cancer Res Ther; 2024 Apr 01; 20(3):1020-1025. PubMed ID: 39023610
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