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PUBMED FOR HANDHELDS

Journal Abstract Search


263 related items for PubMed ID: 31587300

  • 1. Dynamic multiatlas selection-based consensus segmentation of head and neck structures from CT images.
    Haq R, Berry SL, Deasy JO, Hunt M, Veeraraghavan H.
    Med Phys; 2019 Dec; 46(12):5612-5622. PubMed ID: 31587300
    [Abstract] [Full Text] [Related]

  • 2. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
    Tong N, Gou S, Yang S, Ruan D, Sheng K.
    Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
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  • 3. Automatic segmentation of head and neck CT images for radiotherapy treatment planning using multiple atlases, statistical appearance models, and geodesic active contours.
    Fritscher KD, Peroni M, Zaffino P, Spadea MF, Schubert R, Sharp G.
    Med Phys; 2014 May; 41(5):051910. PubMed ID: 24784389
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  • 5. Auto-segmentation of normal and target structures in head and neck CT images: a feature-driven model-based approach.
    Qazi AA, Pekar V, Kim J, Xie J, Breen SL, Jaffray DA.
    Med Phys; 2011 Nov; 38(11):6160-70. PubMed ID: 22047381
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  • 6. Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.
    Tong N, Gou S, Yang S, Cao M, Sheng K.
    Med Phys; 2019 Jun; 46(6):2669-2682. PubMed ID: 31002188
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  • 7. 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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  • 8. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
    Zhu W, Huang Y, Zeng L, Chen X, Liu Y, Qian Z, Du N, Fan W, Xie X.
    Med Phys; 2019 Feb 11; 46(2):576-589. PubMed ID: 30480818
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  • 10. Auto-segmentation of low-risk clinical target volume for head and neck radiation therapy.
    Yang J, Beadle BM, Garden AS, Gunn B, Rosenthal D, Ang K, Frank S, Williamson R, Balter P, Court L, Dong L.
    Pract Radiat Oncol; 2014 Feb 11; 4(1):e31-7. PubMed ID: 24621429
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  • 11. WE-E-213CD-02: Gaussian Weighted Multi-Atlas Based Segmentation for Head and Neck Radiotherapy Planning.
    Peroni M, Sharp GC, Golland P, Baroni G.
    Med Phys; 2012 Jun 11; 39(6Part27):3959. PubMed ID: 28519983
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  • 12. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
    Ibragimov B, Xing L.
    Med Phys; 2017 Feb 11; 44(2):547-557. PubMed ID: 28205307
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  • 13. 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. 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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  • 15. Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates.
    Pipitone J, Park MT, Winterburn J, Lett TA, Lerch JP, Pruessner JC, Lepage M, Voineskos AN, Chakravarty MM, Alzheimer's Disease Neuroimaging Initiative.
    Neuroimage; 2014 Nov 01; 101():494-512. PubMed ID: 24784800
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  • 17. Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection.
    Zhuang X, Bai W, Song J, Zhan S, Qian X, Shi W, Lian Y, Rueckert D.
    Med Phys; 2015 Jul 01; 42(7):3822-33. PubMed ID: 26133584
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  • 20. Head and neck multi-organ auto-segmentation on CT images aided by synthetic MRI.
    Liu Y, Lei Y, Fu Y, Wang T, Zhou J, Jiang X, McDonald M, Beitler JJ, Curran WJ, Liu T, Yang X.
    Med Phys; 2020 Sep 01; 47(9):4294-4302. PubMed ID: 32648602
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