BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 35083750)

  • 1. Report on the AAPM deep-learning sparse-view CT grand challenge.
    Sidky EY; Pan X
    Med Phys; 2022 Aug; 49(8):4935-4943. PubMed ID: 35083750
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Report on the AAPM deep-learning spectral CT Grand Challenge.
    Sidky EY; Pan X
    Med Phys; 2024 Feb; 51(2):772-785. PubMed ID: 36938878
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A dual-domain neural network based on sinogram synthesis for sparse-view CT reconstruction.
    Zhang P; Li K
    Comput Methods Programs Biomed; 2022 Nov; 226():107168. PubMed ID: 36219892
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness.
    Zeng R; Lin CY; Li Q; Jiang L; Skopec M; Fessler JA; Myers KJ
    Med Phys; 2022 Feb; 49(2):836-853. PubMed ID: 34954845
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Accurate and robust sparse-view angle CT image reconstruction using deep learning and prior image constrained compressed sensing (DL-PICCS).
    Zhang C; Li Y; Chen GH
    Med Phys; 2021 Oct; 48(10):5765-5781. PubMed ID: 34458996
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A streak artifact reduction algorithm in sparse-view CT using a self-supervised neural representation.
    Kim B; Shim H; Baek J
    Med Phys; 2022 Dec; 49(12):7497-7515. PubMed ID: 35880806
    [TBL] [Abstract][Full Text] [Related]  

  • 7. LRR-CED: low-resolution reconstruction-aware convolutional encoder-decoder network for direct sparse-view CT image reconstruction.
    Kandarpa VSS; Perelli A; Bousse A; Visvikis D
    Phys Med Biol; 2022 Jul; 67(15):. PubMed ID: 35738249
    [No Abstract]   [Full Text] [Related]  

  • 8. X-ray Cherenkov-luminescence tomography reconstruction with a three-component deep learning algorithm: Swin transformer, convolutional neural network, and locality module.
    Feng J; Zhang H; Geng M; Chen H; Jia K; Sun Z; Li Z; Cao X; Pogue BW
    J Biomed Opt; 2023 Feb; 28(2):026004. PubMed ID: 36818584
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Sparsier2Sparse: Self-supervised convolutional neural network-based streak artifacts reduction in sparse-view CT images.
    Kim S; Kim B; Lee J; Baek J
    Med Phys; 2023 Dec; 50(12):7731-7747. PubMed ID: 37303108
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep Fusion Network Based Sparse View CT Reconstructions for Clinical Diagnostic Scanners.
    Xu Y; Li J; Lin H
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38083385
    [TBL] [Abstract][Full Text] [Related]  

  • 11. PGNet: Projection generative network for sparse-view reconstruction of projection-based magnetic particle imaging.
    Wu X; He B; Gao P; Zhang P; Shang Y; Zhang L; Zhong J; Jiang J; Hui H; Tian J
    Med Phys; 2023 Apr; 50(4):2354-2371. PubMed ID: 36239207
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Do CNNs Solve the CT Inverse Problem?
    Sidky EY; Lorente I; Brankov JG; Pan X
    IEEE Trans Biomed Eng; 2021 Jun; 68(6):1799-1810. PubMed ID: 32870781
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computationally efficient deep neural network for computed tomography image reconstruction.
    Wu D; Kim K; Li Q
    Med Phys; 2019 Nov; 46(11):4763-4776. PubMed ID: 31132144
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning for x-ray scatter correction in dedicated breast CT.
    Pautasso JJ; Caballo M; Mikerov M; Boone JM; Michielsen K; Sechopoulos I
    Med Phys; 2023 Apr; 50(4):2022-2036. PubMed ID: 36565012
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Self-contained deep learning-based boosting of 4D cone-beam CT reconstruction.
    Madesta F; Sentker T; Gauer T; Werner R
    Med Phys; 2020 Nov; 47(11):5619-5631. PubMed ID: 33063329
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Sparse-view CT reconstruction based on multi-level wavelet convolution neural network.
    Lee M; Kim H; Kim HJ
    Phys Med; 2020 Dec; 80():352-362. PubMed ID: 33279829
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A deep learning- and partial least square regression-based model observer for a low-contrast lesion detection task in CT.
    Gong H; Yu L; Leng S; Dilger SK; Ren L; Zhou W; Fletcher JG; McCollough CH
    Med Phys; 2019 May; 46(5):2052-2063. PubMed ID: 30889282
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep convolutional dictionary learning network for sparse view CT reconstruction with a group sparse prior.
    Kang Y; Liu J; Wu F; Wang K; Qiang J; Hu D; Zhang Y
    Comput Methods Programs Biomed; 2024 Feb; 244():108010. PubMed ID: 38199137
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution.
    Zhang Z; Liang X; Dong X; Xie Y; Cao G
    IEEE Trans Med Imaging; 2018 Jun; 37(6):1407-1417. PubMed ID: 29870369
    [TBL] [Abstract][Full Text] [Related]  

  • 20. CT artifact correction for sparse and truncated projection data using generative adversarial networks.
    Podgorsak AR; Shiraz Bhurwani MM; Ionita CN
    Med Phys; 2021 Feb; 48(2):615-626. PubMed ID: 32996149
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.