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Journal Abstract Search

211 related items for PubMed ID: 28273355

  • 1. Evaluation of segmentation methods on head and neck CT: Auto-segmentation challenge 2015.
    Raudaschl PF, Zaffino P, Sharp GC, Spadea MF, Chen A, Dawant BM, Albrecht T, Gass T, Langguth C, Lüthi M, Jung F, Knapp O, Wesarg S, Mannion-Haworth R, Bowes M, Ashman A, Guillard G, Brett A, Vincent G, Orbes-Arteaga M, Cárdenas-Peña D, Castellanos-Dominguez G, Aghdasi N, Li Y, Berens A, Moe K, Hannaford B, Schubert R, Fritscher KD.
    Med Phys; 2017 May; 44(5):2020-2036. PubMed ID: 28273355
    [Abstract] [Full Text] [Related]

  • 2. 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; 46(2):576-589. PubMed ID: 30480818
    [Abstract] [Full Text] [Related]

  • 3. Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks.
    Ibragimov B, Xing L.
    Med Phys; 2017 Feb; 44(2):547-557. PubMed ID: 28205307
    [Abstract] [Full Text] [Related]

  • 4. 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
    [Abstract] [Full Text] [Related]

  • 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
    [Abstract] [Full Text] [Related]

  • 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
    [Abstract] [Full Text] [Related]

  • 7. 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; 45(5):2063-2075. PubMed ID: 29480928
    [Abstract] [Full Text] [Related]

  • 8. 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; 47(9):e929-e950. PubMed ID: 32510603
    [Abstract] [Full Text] [Related]

  • 9. Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approach.
    Tappeiner E, Pröll S, Hönig M, Raudaschl PF, Zaffino P, Spadea MF, Sharp GC, Schubert R, Fritscher K.
    Int J Comput Assist Radiol Surg; 2019 May; 14(5):745-754. PubMed ID: 30847761
    [Abstract] [Full Text] [Related]

  • 10. The feasibility of atlas-based automatic segmentation of MRI for H&N radiotherapy planning.
    Wardman K, Prestwich RJ, Gooding MJ, Speight RJ.
    J Appl Clin Med Phys; 2016 Jul 08; 17(4):146-154. PubMed ID: 27455480
    [Abstract] [Full Text] [Related]

  • 11. Training of head and neck segmentation networks with shape prior on small datasets.
    Tappeiner E, Pröll S, Fritscher K, Welk M, Schubert R.
    Int J Comput Assist Radiol Surg; 2020 Sep 08; 15(9):1417-1425. PubMed ID: 32556921
    [Abstract] [Full Text] [Related]

  • 12. HaN-Seg: The head and neck organ-at-risk CT and MR segmentation dataset.
    Podobnik G, Strojan P, Peterlin P, Ibragimov B, Vrtovec T.
    Med Phys; 2023 Mar 08; 50(3):1917-1927. PubMed ID: 36594372
    [Abstract] [Full Text] [Related]

  • 13. An Evaluation of Atlas Selection Methods for Atlas-Based Automatic Segmentation in Radiotherapy Treatment Planning.
    Schipaanboord B, Boukerroui D, Peressutti D, van Soest J, Lustberg T, Dekker A, Elmpt WV, Gooding MJ.
    IEEE Trans Med Imaging; 2019 Nov 08; 38(11):2654-2664. PubMed ID: 30969918
    [Abstract] [Full Text] [Related]

  • 14. Comprehensive evaluation of ten deformable image registration algorithms for contour propagation between CT and cone-beam CT images in adaptive head & neck radiotherapy.
    Li X, Zhang Y, Shi Y, Wu S, Xiao Y, Gu X, Zhen X, Zhou L.
    PLoS One; 2017 Nov 08; 12(4):e0175906. PubMed ID: 28414799
    [Abstract] [Full Text] [Related]

  • 15. FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images.
    Gao Y, Huang R, Yang Y, Zhang J, Shao K, Tao C, Chen Y, Metaxas DN, Li H, Chen M.
    Med Image Anal; 2021 Jan 08; 67():101831. PubMed ID: 33129144
    [Abstract] [Full Text] [Related]

  • 16. Tissue segmentation of head and neck CT images for treatment planning: a multiatlas approach combined with intensity modeling.
    Fortunati V, Verhaart RF, van der Lijn F, Niessen WJ, Veenland JF, Paulides MM, van Walsum T.
    Med Phys; 2013 Jul 08; 40(7):071905. PubMed ID: 23822442
    [Abstract] [Full Text] [Related]

  • 17. 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 08; 46(12):5612-5622. PubMed ID: 31587300
    [Abstract] [Full Text] [Related]

  • 18. The impact of training sample size on deep learning-based organ auto-segmentation for head-and-neck patients.
    Fang Y, Wang J, Ou X, Ying H, Hu C, Zhang Z, Hu W.
    Phys Med Biol; 2021 Sep 14; 66(18):. PubMed ID: 34450599
    [Abstract] [Full Text] [Related]

  • 19. Clinical validation of atlas-based auto-segmentation of multiple target volumes and normal tissue (swallowing/mastication) structures in the head and neck.
    Teguh DN, Levendag PC, Voet PW, Al-Mamgani A, Han X, Wolf TK, Hibbard LS, Nowak P, Akhiat H, Dirkx ML, Heijmen BJ, Hoogeman MS.
    Int J Radiat Oncol Biol Phys; 2011 Nov 15; 81(4):950-7. PubMed ID: 20932664
    [Abstract] [Full Text] [Related]

  • 20. Head and neck tumor segmentation in PET/CT: The HECKTOR challenge.
    Oreiller V, Andrearczyk V, Jreige M, Boughdad S, Elhalawani H, Castelli J, Vallières M, Zhu S, Xie J, Peng Y, Iantsen A, Hatt M, Yuan Y, Ma J, Yang X, Rao C, Pai S, Ghimire K, Feng X, Naser MA, Fuller CD, Yousefirizi F, Rahmim A, Chen H, Wang L, Prior JO, Depeursinge A.
    Med Image Anal; 2022 Apr 15; 77():102336. PubMed ID: 35016077
    [Abstract] [Full Text] [Related]

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