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Journal Abstract Search

148 related items for PubMed ID: 34892048

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  • 42. 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
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  • 47. Comparison of volume, four- and eight-channel head coils using standard and parallel imaging.
    Gizewski ER, Maderwald S, Wanke I, Goehde S, Forsting M, Ladd ME.
    Eur Radiol; 2005 Aug; 15(8):1555-62. PubMed ID: 15856247
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  • 48. High-field mr diffusion-weighted image denoising using a joint denoising convolutional neural network.
    Wang H, Zheng R, Dai F, Wang Q, Wang C.
    J Magn Reson Imaging; 2019 Dec; 50(6):1937-1947. PubMed ID: 31012226
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  • 52. Image synthesis with deep convolutional generative adversarial networks for material decomposition in dual-energy CT from a kilovoltage CT.
    Kawahara D, Saito A, Ozawa S, Nagata Y.
    Comput Biol Med; 2021 Jan; 128():104111. PubMed ID: 33279790
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  • 53. Temporally downsampled cerebral CT perfusion image restoration using deep residual learning.
    Zhu H, Tong D, Zhang L, Wang S, Wu W, Tang H, Chen Y, Luo L, Zhu J, Li B.
    Int J Comput Assist Radiol Surg; 2020 Feb; 15(2):193-201. PubMed ID: 31673961
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  • 54. Generalizing the Enhanced-Deep-Super-Resolution Neural Network to Brain MR Images: A Retrospective Study on the Cam-CAN Dataset.
    Fiscone C, Curti N, Ceccarelli M, Remondini D, Testa C, Lodi R, Tonon C, Manners DN, Castellani G.
    eNeuro; 2024 May; 11(5):. PubMed ID: 38729763
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  • 55. Learning to Generate Missing Pulse Sequence in MRI using Deep Convolution Neural Network Trained with Visual Turing Test.
    Kumar V, Sharma MK, Jehadeesan R, Venkatraman B, Suman G, Patra A, Goenka AH, Sheet D.
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3419-3422. PubMed ID: 34891974
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  • 57. 3D MRI Reconstruction Based on 2D Generative Adversarial Network Super-Resolution.
    Zhang H, Shinomiya Y, Yoshida S.
    Sensors (Basel); 2021 Apr 23; 21(9):. PubMed ID: 33922811
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  • 58. Quantitative assessment of phased array coils with different numbers of receiving channels in terms of signal-to-noise ratio and spatial noise variation in magnetic resonance imaging.
    Kim KN, Hernandez D, Seo JH, Noh Y, Han Y, Ryu YC, Chung JY.
    PLoS One; 2019 Apr 23; 14(7):e0219407. PubMed ID: 31276549
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  • 59. Deep convolutional generative adversarial network for Alzheimer's disease classification using positron emission tomography (PET) and synthetic data augmentation.
    Sajjad M, Ramzan F, Khan MUG, Rehman A, Kolivand M, Fati SM, Bahaj SA.
    Microsc Res Tech; 2021 Dec 23; 84(12):3023-3034. PubMed ID: 34245203
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