BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

196 related articles for article (PubMed ID: 34024795)

  • 1. Denoising of magnetic resonance images using discriminative learning-based deep convolutional neural network.
    Tripathi S; Sharma N
    Technol Health Care; 2022; 30(1):145-160. PubMed ID: 34024795
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Self-supervised structural similarity-based convolutional neural network for cardiac diffusion tensor image denoising.
    Yuan N; Wang L; Ye C; Deng Z; Zhang J; Zhu Y
    Med Phys; 2023 Oct; 50(10):6137-6150. PubMed ID: 36775901
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers.
    Kidoh M; Shinoda K; Kitajima M; Isogawa K; Nambu M; Uetani H; Morita K; Nakaura T; Tateishi M; Yamashita Y; Yamashita Y
    Magn Reson Med Sci; 2020 Aug; 19(3):195-206. PubMed ID: 31484849
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Denoising of 3D Brain MR Images with Parallel Residual Learning of Convolutional Neural Network Using Global and Local Feature Extraction.
    Wu L; Hu S; Liu C
    Comput Intell Neurosci; 2021; 2021():5577956. PubMed ID: 34054939
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Probabilistic self-learning framework for low-dose CT denoising.
    Bai T; Wang B; Nguyen D; Jiang S
    Med Phys; 2021 May; 48(5):2258-2270. PubMed ID: 33621348
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Introducing Swish and Parallelized Blind Removal Improves the Performance of a Convolutional Neural Network in Denoising MR Images.
    Sugai T; Takano K; Ouchi S; Ito S
    Magn Reson Med Sci; 2021 Dec; 20(4):410-424. PubMed ID: 33583867
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Rapid 2D
    Baker RR; Muthurangu V; Rega M; Walsh SB; Steeden JA
    Magn Reson Imaging; 2024 Jul; 110():184-194. PubMed ID: 38642779
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network.
    Jiang D; Dou W; Vosters L; Xu X; Sun Y; Tan T
    Jpn J Radiol; 2018 Sep; 36(9):566-574. PubMed ID: 29982919
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Low-dose CT denoising via convolutional neural network with an observer loss function.
    Han M; Shim H; Baek J
    Med Phys; 2021 Oct; 48(10):5727-5742. PubMed ID: 34387360
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel denoising method for CT images based on U-net and multi-attention.
    Zhang J; Niu Y; Shangguan Z; Gong W; Cheng Y
    Comput Biol Med; 2023 Jan; 152():106387. PubMed ID: 36495750
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Full-count PET recovery from low-count image using a dilated convolutional neural network.
    Spuhler K; Serrano-Sosa M; Cattell R; DeLorenzo C; Huang C
    Med Phys; 2020 Oct; 47(10):4928-4938. PubMed ID: 32687608
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Denoising of three-dimensional fast spin echo magnetic resonance images of knee joints using spatial-variant noise-relevant residual learning of convolution neural network.
    Zhao S; Cahill DG; Li S; Xiao F; Blu T; Griffith JF; Chen W
    Comput Biol Med; 2022 Dec; 151(Pt A):106295. PubMed ID: 36423533
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An application of deep dual convolutional neural network for enhanced medical image denoising.
    Sahu A; Rana KPS; Kumar V
    Med Biol Eng Comput; 2023 May; 61(5):991-1004. PubMed ID: 36639550
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Denoising Tc-99m DMSA images using Denoising Convolutional Neural Network with comparison to a Block Matching Filter.
    Chaudhary J; Phulia A; Pandey AK; Sharma PD; Patel C
    Nucl Med Commun; 2023 Aug; 44(8):682-690. PubMed ID: 37272279
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Incorporation of residual attention modules into two neural networks for low-dose CT denoising.
    Li M; Du Q; Duan L; Yang X; Zheng J; Jiang H; Li M
    Med Phys; 2021 Jun; 48(6):2973-2990. PubMed ID: 33890681
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma.
    Huang H; Xie Y; Wang G; Zhang L; Zhou W
    Comput Methods Programs Biomed; 2022 Dec; 227():107201. PubMed ID: 36335751
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An Efficient Light-weight Network for Fast Reconstruction on MR Images.
    Zhen B; Zheng Y; Qiu B
    Curr Med Imaging; 2021; 17(11):1374-1384. PubMed ID: 33459243
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.