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Journal Abstract Search

206 related items for PubMed ID: 24803040

  • 21. Realistic CT data augmentation for accurate deep-learning based segmentation of head and neck tumors in kV images acquired during radiation therapy.
    Gardner M, Bouchta YB, Mylonas A, Mueller M, Cheng C, Chlap P, Finnegan R, Sykes J, Keall PJ, Nguyen DT.
    Med Phys; 2023 Jul; 50(7):4206-4219. PubMed ID: 37029643
    [Abstract] [Full Text] [Related]

  • 22. Using synthetic CT for partial brain radiation therapy: Impact on image guidance.
    Morris ED, Price RG, Kim J, Schultz L, Siddiqui MS, Chetty I, Glide-Hurst C.
    Pract Radiat Oncol; 2018 Jul; 8(5):342-350. PubMed ID: 29861348
    [Abstract] [Full Text] [Related]

  • 23. Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images-Application in Brain Proton Therapy.
    Spadea MF, Pileggi G, Zaffino P, Salome P, Catana C, Izquierdo-Garcia D, Amato F, Seco J.
    Int J Radiat Oncol Biol Phys; 2019 Nov 01; 105(3):495-503. PubMed ID: 31271823
    [Abstract] [Full Text] [Related]

  • 24. Combined PET/MR imaging in neurology: MR-based attenuation correction implies a strong spatial bias when ignoring bone.
    Andersen FL, Ladefoged CN, Beyer T, Keller SH, Hansen AE, Højgaard L, Kjær A, Law I, Holm S.
    Neuroimage; 2014 Jan 01; 84():206-16. PubMed ID: 23994317
    [Abstract] [Full Text] [Related]

  • 25. Narrow band deformable registration of prostate magnetic resonance imaging, magnetic resonance spectroscopic imaging, and computed tomography studies.
    Schreibmann E, Xing L.
    Int J Radiat Oncol Biol Phys; 2005 Jun 01; 62(2):595-605. PubMed ID: 15890605
    [Abstract] [Full Text] [Related]

  • 26. CT-MR image data fusion for computer assisted navigated neurosurgery of temporal bone tumors.
    Nemec SF, Donat MA, Mehrain S, Friedrich K, Krestan C, Matula C, Imhof H, Czerny C.
    Eur J Radiol; 2007 May 01; 62(2):192-8. PubMed ID: 17229539
    [Abstract] [Full Text] [Related]

  • 27. Improved human observer performance in digital reconstructed radiograph verification in head and neck cancer radiotherapy.
    Sturgeon JD, Cox JA, Mayo LL, Gunn GB, Zhang L, Balter PA, Dong L, Awan M, Kocak-Uzel E, Mohamed AS, Rosenthal DI, Fuller CD.
    Int J Comput Assist Radiol Surg; 2015 Oct 01; 10(10):1667-73. PubMed ID: 25477277
    [Abstract] [Full Text] [Related]

  • 28. Zero TE MR bone imaging in the head.
    Wiesinger F, Sacolick LI, Menini A, Kaushik SS, Ahn S, Veit-Haibach P, Delso G, Shanbhag DD.
    Magn Reson Med; 2016 Jan 01; 75(1):107-14. PubMed ID: 25639956
    [Abstract] [Full Text] [Related]

  • 29. Segmentation accuracy of long bones.
    Van den Broeck J, Vereecke E, Wirix-Speetjens R, Vander Sloten J.
    Med Eng Phys; 2014 Jul 01; 36(7):949-53. PubMed ID: 24768087
    [Abstract] [Full Text] [Related]

  • 30. Simulation of 3D-treatment plans in head and neck tumors aided by matching of digitally reconstructed radiographs (DRR) and on-line distortion corrected simulator images.
    Lohr F, Schramm O, Schraube P, Sroka-Perez G, Seeber S, Schlepple G, Schlegel W, Wannenmacher M.
    Radiother Oncol; 1997 Nov 01; 45(2):199-207. PubMed ID: 9424012
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  • 34. MR imaging of the skull base.
    Han JS, Huss RG, Benson JE, Kaufman B, Yoon YS, Morrison SC, Alfidi RJ, Rekate HL, Ratcheson RA.
    J Comput Assist Tomogr; 1984 Oct 01; 8(5):944-52. PubMed ID: 6470264
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  • 35. The use of digitally reconstructed radiographs for three-dimensional treatment planning and CT-simulation.
    Galvin JM, Sims C, Dominiak G, Cooper JS.
    Int J Radiat Oncol Biol Phys; 1995 Feb 15; 31(4):935-42. PubMed ID: 7860409
    [Abstract] [Full Text] [Related]

  • 36. Accuracy of UTE-MRI-based patient setup for brain cancer radiation therapy.
    Yang Y, Cao M, Kaprealian T, Sheng K, Gao Y, Han F, Gomez C, Santhanam A, Tenn S, Agazaryan N, Low DA, Hu P.
    Med Phys; 2016 Jan 15; 43(1):262. PubMed ID: 26745919
    [Abstract] [Full Text] [Related]

  • 37. MRI-based attenuation correction for hybrid PET/MRI systems: a 4-class tissue segmentation technique using a combined ultrashort-echo-time/Dixon MRI sequence.
    Berker Y, Franke J, Salomon A, Palmowski M, Donker HC, Temur Y, Mottaghy FM, Kuhl C, Izquierdo-Garcia D, Fayad ZA, Kiessling F, Schulz V.
    J Nucl Med; 2012 May 15; 53(5):796-804. PubMed ID: 22505568
    [Abstract] [Full Text] [Related]

  • 38. 3-D/2-D registration of CT and MR to X-ray images.
    Tomazevic D, Likar B, Slivnik T, Pernus F.
    IEEE Trans Med Imaging; 2003 Nov 15; 22(11):1407-16. PubMed ID: 14606674
    [Abstract] [Full Text] [Related]

  • 39. Treatment planning of intracranial targets on MRI derived substitute CT data.
    Jonsson JH, Johansson A, Söderström K, Asklund T, Nyholm T.
    Radiother Oncol; 2013 Jul 15; 108(1):118-22. PubMed ID: 23830190
    [Abstract] [Full Text] [Related]

  • 40. 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 15; 52():33-41. PubMed ID: 30139607
    [Abstract] [Full Text] [Related]

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