These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

172 related articles for article (PubMed ID: 34478442)

  • 1. Learning brain dynamics for decoding and predicting individual differences.
    Misra J; Surampudi SG; Venkatesh M; Limbachia C; Jaja J; Pessoa L
    PLoS Comput Biol; 2021 Sep; 17(9):e1008943. PubMed ID: 34478442
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multiclass fMRI data decoding and visualization using supervised self-organizing maps.
    Hausfeld L; Valente G; Formisano E
    Neuroimage; 2014 Aug; 96():54-66. PubMed ID: 24531045
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Transfer learning of deep neural network representations for fMRI decoding.
    Svanera M; Savardi M; Benini S; Signoroni A; Raz G; Hendler T; Muckli L; Goebel R; Valente G
    J Neurosci Methods; 2019 Dec; 328():108319. PubMed ID: 31585315
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Interpretable, highly accurate brain decoding of subtly distinct brain states from functional MRI using intrinsic functional networks and long short-term memory recurrent neural networks.
    Li H; Fan Y
    Neuroimage; 2019 Nov; 202():116059. PubMed ID: 31362049
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Finding Distributed Needles in Neural Haystacks.
    Cox CR; Rogers TT
    J Neurosci; 2021 Feb; 41(5):1019-1032. PubMed ID: 33334868
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.
    De Martino F; Valente G; Staeren N; Ashburner J; Goebel R; Formisano E
    Neuroimage; 2008 Oct; 43(1):44-58. PubMed ID: 18672070
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Decoding the individual finger movements from single-trial functional magnetic resonance imaging recordings of human brain activity.
    Shen G; Zhang J; Wang M; Lei D; Yang G; Zhang S; Du X
    Eur J Neurosci; 2014 Jun; 39(12):2071-82. PubMed ID: 24661456
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Effects of spatial fMRI resolution on the classification of naturalistic movies.
    Mandelkow H; de Zwart JA; Duyn JH
    Neuroimage; 2017 Nov; 162():45-55. PubMed ID: 28842385
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multimodal deep neural decoding reveals highly resolved spatiotemporal profile of visual object representation in humans.
    Watanabe N; Miyoshi K; Jimura K; Shimane D; Keerativittayayut R; Nakahara K; Takeda M
    Neuroimage; 2023 Jul; 275():120164. PubMed ID: 37169115
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Functional connectivity profiles of the default mode and visual networks reflect temporal accumulative effects of sustained naturalistic emotional experience.
    Xu S; Zhang Z; Li L; Zhou Y; Lin D; Zhang M; Zhang L; Huang G; Liu X; Becker B; Liang Z
    Neuroimage; 2023 Apr; 269():119941. PubMed ID: 36791897
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Decoding dynamic affective responses to naturalistic videos with shared neural patterns.
    Chan HY; Smidts A; Schoots VC; Sanfey AG; Boksem MAS
    Neuroimage; 2020 Aug; 216():116618. PubMed ID: 32036021
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Consistency and similarity of MEG- and fMRI-signal time courses during movie viewing.
    Lankinen K; Saari J; Hlushchuk Y; Tikka P; Parkkonen L; Hari R; Koskinen M
    Neuroimage; 2018 Jun; 173():361-369. PubMed ID: 29486325
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep learning models of cognitive processes constrained by human brain connectomes.
    Zhang Y; Farrugia N; Bellec P
    Med Image Anal; 2022 Aug; 80():102507. PubMed ID: 35738052
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Hierarchical multi-resolution mesh networks for brain decoding.
    Onal Ertugrul I; Ozay M; Yarman Vural FT
    Brain Imaging Behav; 2018 Aug; 12(4):1067-1083. PubMed ID: 28980144
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Optimization of functional MRI for detection, decoding and high-resolution imaging of the response patterns of cortical columns.
    Chaimow D; Uğurbil K; Shmuel A
    Neuroimage; 2018 Jan; 164():67-99. PubMed ID: 28461061
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Decoding sound categories based on whole-brain functional connectivity patterns.
    Zhang J; Zhang G; Li X; Wang P; Wang B; Liu B
    Brain Imaging Behav; 2020 Feb; 14(1):100-109. PubMed ID: 30361945
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Convolutional neural networks for decoding of covert attention focus and saliency maps for EEG feature visualization.
    Farahat A; Reichert C; Sweeney-Reed CM; Hinrichs H
    J Neural Eng; 2019 Oct; 16(6):066010. PubMed ID: 31416059
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Brain dynamics and temporal trajectories during task and naturalistic processing.
    Venkatesh M; Jaja J; Pessoa L
    Neuroimage; 2019 Feb; 186():410-423. PubMed ID: 30453032
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models.
    Faisan S; Thoraval L; Armspach JP; Metz-Lutz MN; Heitz F
    IEEE Trans Med Imaging; 2005 Feb; 24(2):263-76. PubMed ID: 15707252
    [TBL] [Abstract][Full Text] [Related]  

  • 20. fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations.
    Vu H; Kim HC; Jung M; Lee JH
    Neuroimage; 2020 Dec; 223():117328. PubMed ID: 32896633
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.