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Journal Abstract Search

216 related items for PubMed ID: 38282279

  • 21. Motion Artifact Detection for T1-Weighted Brain MR Images Using Convolutional Neural Networks.
    Roecher E, Mösch L, Zweerings J, Thiele FO, Caspers S, Gaebler AJ, Eisner P, Sarkheil P, Mathiak K.
    Int J Neural Syst; 2024 Oct; 34(10):2450052. PubMed ID: 38989919
    [Abstract] [Full Text] [Related]

  • 22. MRI Gibbs-ringing artifact reduction by means of machine learning using convolutional neural networks.
    Zhang Q, Ruan G, Yang W, Liu Y, Zhao K, Feng Q, Chen W, Wu EX, Feng Y.
    Magn Reson Med; 2019 Dec; 82(6):2133-2145. PubMed ID: 31373061
    [Abstract] [Full Text] [Related]

  • 23. AI-based motion artifact severity estimation in undersampled MRI allowing for selection of appropriate reconstruction models.
    Beljaards L, Pezzotti N, Rao C, Doneva M, van Osch MJP, Staring M.
    Med Phys; 2024 May; 51(5):3555-3565. PubMed ID: 38167996
    [Abstract] [Full Text] [Related]

  • 24. Unsupervised cycle-consistent network using restricted subspace field map for removing susceptibility artifacts in EPI.
    Bao Q, Xie W, Otikovs M, Xia L, Xie H, Liu X, Liu K, Zhang Z, Chen F, Zhou X, Liu C.
    Magn Reson Med; 2023 Aug; 90(2):458-472. PubMed ID: 37052369
    [Abstract] [Full Text] [Related]

  • 25. TSE with average-specific phase encoding ordering for motion detection and artifact suppression.
    Zhang L, Kholmovski EG, Guo J, Parker DL.
    J Magn Reson Imaging; 2007 Jun; 25(6):1271-82. PubMed ID: 17520734
    [Abstract] [Full Text] [Related]

  • 26. Mitigation of motion-induced artifacts in cone beam computed tomography using deep convolutional neural networks.
    Amirian M, Montoya-Zegarra JA, Herzig I, Eggenberger Hotz P, Lichtensteiger L, Morf M, Züst A, Paysan P, Peterlik I, Scheib S, Füchslin RM, Stadelmann T, Schilling FP.
    Med Phys; 2023 Oct; 50(10):6228-6242. PubMed ID: 36995003
    [Abstract] [Full Text] [Related]

  • 27. Suppressing motion artefacts in MRI using an Inception-ResNet network with motion simulation augmentation.
    Pawar K, Chen Z, Shah NJ, Egan GF.
    NMR Biomed; 2022 Apr; 35(4):e4225. PubMed ID: 31865624
    [Abstract] [Full Text] [Related]

  • 28. Conditional generative adversarial network for 3D rigid-body motion correction in MRI.
    Johnson PM, Drangova M.
    Magn Reson Med; 2019 Sep; 82(3):901-910. PubMed ID: 31006909
    [Abstract] [Full Text] [Related]

  • 29. Unsupervised MRI motion artifact disentanglement: introducing MAUDGAN.
    Safari M, Yang X, Chang CW, Qiu RLJ, Fatemi A, Archambault L.
    Phys Med Biol; 2024 May 30; 69(11):. PubMed ID: 38714192
    [Abstract] [Full Text] [Related]

  • 30. Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics.
    Vakli P, Weiss B, Szalma J, Barsi P, Gyuricza I, Kemenczky P, Somogyi E, Nárai Á, Gál V, Hermann P, Vidnyánszky Z.
    Med Image Anal; 2023 Aug 30; 88():102850. PubMed ID: 37263108
    [Abstract] [Full Text] [Related]

  • 31. Image quality improvement of single-shot turbo spin-echo magnetic resonance imaging of female pelvis using a convolutional neural network.
    Misaka T, Asato N, Ono Y, Ota Y, Kobayashi T, Umehara K, Ota J, Uemura M, Ashikaga R, Ishida T.
    Medicine (Baltimore); 2020 Nov 20; 99(47):e23138. PubMed ID: 33217817
    [Abstract] [Full Text] [Related]

  • 32. [Development of Motion Artifact Generator for Deep Learning in Brain MRI].
    Tsukamoto H, Muro I.
    Nihon Hoshasen Gijutsu Gakkai Zasshi; 2021 Nov 20; 77(5):463-470. PubMed ID: 34011789
    [Abstract] [Full Text] [Related]

  • 33. Motion correction of respiratory-gated PET images using deep learning based image registration framework.
    Li T, Zhang M, Qi W, Asma E, Qi J.
    Phys Med Biol; 2020 Jul 30; 65(15):155003. PubMed ID: 32244230
    [Abstract] [Full Text] [Related]

  • 34. DeepResp: Deep learning solution for respiration-induced B0 fluctuation artifacts in multi-slice GRE.
    An H, Shin HG, Ji S, Jung W, Oh S, Shin D, Park J, Lee J.
    Neuroimage; 2021 Jan 01; 224():117432. PubMed ID: 33038539
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  • 39. Motion artifacts reduction in brain MRI by means of a deep residual network with densely connected multi-resolution blocks (DRN-DCMB).
    Liu J, Kocak M, Supanich M, Deng J.
    Magn Reson Imaging; 2020 Sep 01; 71():69-79. PubMed ID: 32428549
    [Abstract] [Full Text] [Related]

  • 40. [A deep blur learning-based motion artifact reduction algorithm for dental cone-beam computed tomography images].
    Lin Z, Wang Y, Bian Z, Ma J.
    Nan Fang Yi Ke Da Xue Xue Bao; 2024 Jun 20; 44(6):1198-1208. PubMed ID: 38977351
    [Abstract] [Full Text] [Related]

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