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Journal Abstract Search

318 related items for PubMed ID: 29480928

  • 21. Deep learning from dual-energy information for whole-heart segmentation in dual-energy and single-energy non-contrast-enhanced cardiac CT.
    Bruns S, Wolterink JM, Takx RAP, van Hamersvelt RW, Suchá D, Viergever MA, Leiner T, Išgum I.
    Med Phys; 2020 Oct; 47(10):5048-5060. PubMed ID: 32786071
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  • 22. Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution.
    Cai Y, Long Y, Han Z, Liu M, Zheng Y, Yang W, Chen L.
    BMC Med Inform Decis Mak; 2023 Feb 14; 23(1):33. PubMed ID: 36788560
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  • 25. Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach.
    Lavdas I, Glocker B, Kamnitsas K, Rueckert D, Mair H, Sandhu A, Taylor SA, Aboagye EO, Rockall AG.
    Med Phys; 2017 Oct 14; 44(10):5210-5220. PubMed ID: 28756622
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  • 27. 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 14; 38(11):6160-70. PubMed ID: 22047381
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  • 28. Spatial feature fusion convolutional network for liver and liver tumor segmentation from CT images.
    Liu T, Liu J, Ma Y, He J, Han J, Ding X, Chen CT.
    Med Phys; 2021 Jan 14; 48(1):264-272. PubMed ID: 33159809
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  • 31. U-net architecture with embedded Inception-ResNet-v2 image encoding modules for automatic segmentation of organs-at-risk in head and neck cancer radiation therapy based on computed tomography scans.
    Siciarz P, McCurdy B.
    Phys Med Biol; 2022 Jun 22; 67(11):. PubMed ID: 35134792
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  • 32. 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 22; 44(5):2020-2036. PubMed ID: 28273355
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  • 35. Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based three-dimensional convolutional neural network.
    Dinkla AM, Florkow MC, Maspero M, Savenije MHF, Zijlstra F, Doornaert PAH, van Stralen M, Philippens MEP, van den Berg CAT, Seevinck PR.
    Med Phys; 2019 Sep 22; 46(9):4095-4104. PubMed ID: 31206701
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  • 36. Convolutional neural networks for head and neck tumor segmentation on 7-channel multiparametric MRI: a leave-one-out analysis.
    Bielak L, Wiedenmann N, Berlin A, Nicolay NH, Gunashekar DD, Hägele L, Lottner T, Grosu AL, Bock M.
    Radiat Oncol; 2020 Jul 29; 15(1):181. PubMed ID: 32727525
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  • 37. Convolutional neural network-based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images.
    Zabihollahy F, White JA, Ukwatta E.
    Med Phys; 2019 Apr 29; 46(4):1740-1751. PubMed ID: 30734937
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  • 38. Segmentation of parotid glands from registered CT and MR images.
    Močnik D, Ibragimov B, Xing L, Strojan P, Likar B, Pernuš F, Vrtovec T.
    Phys Med; 2018 Aug 29; 52():33-41. PubMed ID: 30139607
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