BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

154 related articles for article (PubMed ID: 36460220)

  • 1. Images Reconstruction from Functional Magnetic Resonance Imaging Patterns Based on the Improved Deep Generative Multiview Model.
    Pan H; Fu Y; Li Z; Wen F; Hu J; Wu B
    Neuroscience; 2023 Jan; 509():103-112. PubMed ID: 36460220
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning.
    Du C; Du C; Huang L; He H
    IEEE Trans Neural Netw Learn Syst; 2019 Aug; 30(8):2310-2323. PubMed ID: 30561354
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Generative adversarial networks for reconstructing natural images from brain activity.
    Seeliger K; Güçlü U; Ambrogioni L; Güçlütürk Y; van Gerven MAJ
    Neuroimage; 2018 Nov; 181():775-785. PubMed ID: 30031932
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep Natural Image Reconstruction from Human Brain Activity Based on Conditional Progressively Growing Generative Adversarial Networks.
    Huang W; Yan H; Wang C; Yang X; Li J; Zuo Z; Zhang J; Chen H
    Neurosci Bull; 2021 Mar; 37(3):369-379. PubMed ID: 33222145
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Functional Alignment-Auxiliary Generative Adversarial Network-Based Visual Stimuli Reconstruction via Multi-Subject fMRI.
    Huang S; Sun L; Yousefnezhad M; Wang M; Zhang D
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():2715-2725. PubMed ID: 37279132
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Retrieving and reconstructing conceptually similar images from fMRI with latent diffusion models and a neuro-inspired brain decoding model.
    Ferrante M; Boccato T; Passamonti L; Toschi N
    J Neural Eng; 2024 Jun; 21(4):. PubMed ID: 38885689
    [No Abstract]   [Full Text] [Related]  

  • 7. Reconstructing controllable faces from brain activity with hierarchical multiview representations.
    Ren Z; Li J; Xue X; Li X; Yang F; Jiao Z; Gao X
    Neural Netw; 2023 Sep; 166():487-500. PubMed ID: 37574622
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Perception-to-Image: Reconstructing Natural Images from the Brain Activity of Visual Perception.
    Huang W; Yan H; Wang C; Li J; Zuo Z; Zhang J; Shen Z; Chen H
    Ann Biomed Eng; 2020 Sep; 48(9):2323-2332. PubMed ID: 32285343
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network.
    Ran M; Hu J; Chen Y; Chen H; Sun H; Zhou J; Zhang Y
    Med Image Anal; 2019 Jul; 55():165-180. PubMed ID: 31085444
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Semantics-Guided Hierarchical Feature Encoding Generative Adversarial Network for Visual Image Reconstruction From Brain Activity.
    Meng L; Yang C
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():1267-1283. PubMed ID: 38498745
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Reconstructing seen image from brain activity by visually-guided cognitive representation and adversarial learning.
    Ren Z; Li J; Xue X; Li X; Yang F; Jiao Z; Gao X
    Neuroimage; 2021 Mar; 228():117602. PubMed ID: 33395572
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Inter-individual deep image reconstruction via hierarchical neural code conversion.
    Ho JK; Horikawa T; Majima K; Cheng F; Kamitani Y
    Neuroimage; 2023 May; 271():120007. PubMed ID: 36914105
    [TBL] [Abstract][Full Text] [Related]  

  • 13. BigGAN-based Bayesian Reconstruction of Natural Images from Human Brain Activity.
    Qiao K; Chen J; Wang L; Zhang C; Tong L; Yan B
    Neuroscience; 2020 Sep; 444():92-105. PubMed ID: 32736069
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Reconstruction of natural visual scenes from neural spikes with deep neural networks.
    Zhang Y; Jia S; Zheng Y; Yu Z; Tian Y; Ma S; Huang T; Liu JK
    Neural Netw; 2020 May; 125():19-30. PubMed ID: 32070853
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Dual U-Net residual networks for cardiac magnetic resonance images super-resolution.
    Qiu D; Cheng Y; Wang X
    Comput Methods Programs Biomed; 2022 May; 218():106707. PubMed ID: 35255374
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DBGAN: A dual-branch generative adversarial network for undersampled MRI reconstruction.
    Liu X; Du H; Xu J; Qiu B
    Magn Reson Imaging; 2022 Jun; 89():77-91. PubMed ID: 35339616
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks.
    Ahmad B; Sun J; You Q; Palade V; Mao Z
    Biomedicines; 2022 Jan; 10(2):. PubMed ID: 35203433
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Retrospective correction of motion-affected MR images using deep learning frameworks.
    Küstner T; Armanious K; Yang J; Yang B; Schick F; Gatidis S
    Magn Reson Med; 2019 Oct; 82(4):1527-1540. PubMed ID: 31081955
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A new generative adversarial network for medical images super resolution.
    Ahmad W; Ali H; Shah Z; Azmat S
    Sci Rep; 2022 Jun; 12(1):9533. PubMed ID: 35680968
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Generative models improve radiomics performance in different tasks and different datasets: An experimental study.
    Chen J; Bermejo I; Dekker A; Wee L
    Phys Med; 2022 Jun; 98():11-17. PubMed ID: 35468494
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.