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Pubmed for Handhelds

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Journal Abstract Search

201 related items for PubMed ID: 35403237

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  • 23. Deep Learning-Driven Transformation: A Novel Approach for Mitigating Batch Effects in Diffusion MRI Beyond Traditional Harmonization.
    Wada A, Akashi T, Hagiwara A, Nishizawa M, Shimoji K, Kikuta J, Maekawa T, Sano K, Kamagata K, Nakanishi A, Aoki S.
    J Magn Reson Imaging; 2024 Aug; 60(2):510-522. PubMed ID: 37877463
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  • 24. Deep learning-based super-resolution of structural brain MRI at 1.5 T: application to quantitative volume measurement.
    Suwannasak A, Angkurawaranon S, Sangpin P, Chatnuntawech I, Wantanajittikul K, Yarach U.
    MAGMA; 2024 Jul; 37(3):465-475. PubMed ID: 38758489
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  • 28. Rigid motion-resolved B1+ prediction using deep learning for real-time parallel-transmission pulse design.
    Plumley A, Watkins L, Treder M, Liebig P, Murphy K, Kopanoglu E.
    Magn Reson Med; 2022 May; 87(5):2254-2270. PubMed ID: 34958134
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  • 30. 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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  • 31. FlexDTI: flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning.
    Wu Z, Wang J, Chen Z, Yang Q, Xing Z, Cao D, Bao J, Kang T, Lin J, Cai S, Chen Z, Cai C.
    Phys Med Biol; 2024 May 20; 69(11):. PubMed ID: 38688288
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  • 32. Feasibility of Deep Learning-Based Noise and Artifact Reduction in Coronal Reformation of Contrast-Enhanced Chest Computed Tomography.
    Kang EJ, Park HS, Jeon K, Lee JW, Lim JK.
    J Comput Assist Tomogr; 2024 May 20; 46(4):593-603. PubMed ID: 35617647
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  • 33. Feasibility of Brain Imaging Using a Digital Surround Technology Body Coil: A Study Based on SRGAN-VGG Convolutional Neural Networks.
    Liu YW, Niu HJ, Yin HX, Xia JJ, Ren PL, Zhang TT, Li J, Lv H, Ding HY, Ren JL, Wang ZC.
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov 20; 2021():3734-3737. PubMed ID: 34892048
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  • 34. A deep learning approach for synthetic MRI based on two routine sequences and training with synthetic data.
    Moya-Sáez E, Peña-Nogales Ó, Luis-García R, Alberola-López C.
    Comput Methods Programs Biomed; 2021 Oct 20; 210():106371. PubMed ID: 34525411
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  • 35. 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 20; 71():69-79. PubMed ID: 32428549
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  • 36. Recovering high-quality fiber orientation distributions from a reduced number of diffusion-weighted images using a model-driven deep learning architecture.
    Bartlett JJ, Davey CE, Johnston LA, Duan J.
    Magn Reson Med; 2024 Nov 20; 92(5):2193-2206. PubMed ID: 38852179
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  • 37. Dynamic parallel transmit diffusion MRI at 7T.
    Zhang M, Ding B, Dragonu I, Liebig P, Rodgers CT.
    Magn Reson Imaging; 2024 Sep 20; 111():35-46. PubMed ID: 38547935
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  • 39. MRI super-resolution reconstruction for MRI-guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown translation model.
    Chun J, Zhang H, Gach HM, Olberg S, Mazur T, Green O, Kim T, Kim H, Kim JS, Mutic S, Park JC.
    Med Phys; 2019 Sep 20; 46(9):4148-4164. PubMed ID: 31309585
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  • 40. Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI.
    Nath V, Schilling KG, Parvathaneni P, Hansen CB, Hainline AE, Huo Y, Blaber JA, Lyu I, Janve V, Gao Y, Stepniewska I, Anderson AW, Landman BA.
    Magn Reson Imaging; 2019 Oct 20; 62():220-227. PubMed ID: 31323317
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