BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

943 related articles for article (PubMed ID: 31582263)

  • 1. Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning.
    Qiu D; Zhang S; Liu Y; Zhu J; Zheng L
    Comput Methods Programs Biomed; 2020 Apr; 187():105059. PubMed ID: 31582263
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Residual dense network for medical magnetic resonance images super-resolution.
    Zhu D; Qiu D
    Comput Methods Programs Biomed; 2021 Sep; 209():106330. PubMed ID: 34388684
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fusing multi-scale information in convolution network for MR image super-resolution reconstruction.
    Liu C; Wu X; Yu X; Tang Y; Zhang J; Zhou J
    Biomed Eng Online; 2018 Aug; 17(1):114. PubMed ID: 30144798
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MRI reconstruction with enhanced self-similarity using graph convolutional network.
    Ma Q; Lai Z; Wang Z; Qiu Y; Zhang H; Qu X
    BMC Med Imaging; 2024 May; 24(1):113. PubMed ID: 38760778
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Super-resolution musculoskeletal MRI using deep learning.
    Chaudhari AS; Fang Z; Kogan F; Wood J; Stevens KJ; Gibbons EK; Lee JH; Gold GE; Hargreaves BA
    Magn Reson Med; 2018 Nov; 80(5):2139-2154. PubMed ID: 29582464
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Image Super-Resolution Reconstruction Method for Lung Cancer CT-Scanned Images Based on Neural Network.
    Xu J; Liu W; Qin Y; Xu G
    Biomed Res Int; 2022; 2022():3543531. PubMed ID: 35898680
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT.
    Umehara K; Ota J; Ishida T
    J Digit Imaging; 2018 Aug; 31(4):441-450. PubMed ID: 29047035
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Super-resolution construction of intravascular ultrasound images using generative adversarial networks].
    Wu Y; Yang F; Huang J; Liu Y
    Nan Fang Yi Ke Da Xue Xue Bao; 2019 Jan; 39(1):82-87. PubMed ID: 30692071
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Medical image super-resolution reconstruction algorithms based on deep learning: A survey.
    Qiu D; Cheng Y; Wang X
    Comput Methods Programs Biomed; 2023 Aug; 238():107590. PubMed ID: 37201252
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Compressed sensing MRI via a multi-scale dilated residual convolution network.
    Dai Y; Zhuang P
    Magn Reson Imaging; 2019 Nov; 63():93-104. PubMed ID: 31362047
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 3D MRI Reconstruction Based on 2D Generative Adversarial Network Super-Resolution.
    Zhang H; Shinomiya Y; Yoshida S
    Sensors (Basel); 2021 Apr; 21(9):. PubMed ID: 33922811
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Remote sensing image super-resolution using multi-scale convolutional sparse coding network.
    Cheng R; Wang H; Luo P
    PLoS One; 2022; 17(10):e0276648. PubMed ID: 36288378
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep local-to-global feature learning for medical image super-resolution.
    Huang W; Liao X; Chen H; Hu Y; Jia W; Wang Q
    Comput Med Imaging Graph; 2024 Jul; 115():102374. PubMed ID: 38565036
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Learning- and Transfer Learning-Based Super Resolution Reconstruction from Single Medical Image.
    Zhang Y; An M
    J Healthc Eng; 2017; 2017():5859727. PubMed ID: 29065625
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Feedback attention network for cardiac magnetic resonance imaging super-resolution.
    Zhu D; He H; Wang D
    Comput Methods Programs Biomed; 2023 Apr; 231():107313. PubMed ID: 36739626
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multiscale brain MRI super-resolution using deep 3D convolutional networks.
    Pham CH; Tor-Díez C; Meunier H; Bednarek N; Fablet R; Passat N; Rousseau F
    Comput Med Imaging Graph; 2019 Oct; 77():101647. PubMed ID: 31493703
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Generative Adversarial Network technique for high-quality super-resolution reconstruction of cardiac magnetic resonance images.
    Zhao M; Wei Y; Wong KKL
    Magn Reson Imaging; 2022 Jan; 85():153-160. PubMed ID: 34699953
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI.
    Park S; Gach HM; Kim S; Lee SJ; Motai Y
    IEEE J Transl Eng Health Med; 2021; 9():1800113. PubMed ID: 34168920
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Super-resolution of cardiac magnetic resonance images using Laplacian Pyramid based on Generative Adversarial Networks.
    Zhao M; Liu X; Liu H; Wong KKL
    Comput Med Imaging Graph; 2020 Mar; 80():101698. PubMed ID: 31935666
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Super-resolution reconstruction of MR image with a novel residual learning network algorithm.
    Shi J; Liu Q; Wang C; Zhang Q; Ying S; Xu H
    Phys Med Biol; 2018 Apr; 63(8):085011. PubMed ID: 29583134
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 48.