BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

207 related articles for article (PubMed ID: 34310676)

  • 1. Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks.
    Abrevaya G; Dumas G; Aravkin AY; Zheng P; Gagnon-Audet JC; Kozloski J; Polosecki P; Lajoie G; Cox D; Dawson SP; Cecchi G; Rish I
    Neural Comput; 2021 Jul; 33(8):2087-2127. PubMed ID: 34310676
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI.
    Koppe G; Toutounji H; Kirsch P; Lis S; Durstewitz D
    PLoS Comput Biol; 2019 Aug; 15(8):e1007263. PubMed ID: 31433810
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators.
    Antonacci Y; Minati L; Faes L; Pernice R; Nollo G; Toppi J; Pietrabissa A; Astolfi L
    PeerJ Comput Sci; 2021; 7():e429. PubMed ID: 34084917
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Physics guided neural networks for modelling of non-linear dynamics.
    Robinson H; Pawar S; Rasheed A; San O
    Neural Netw; 2022 Oct; 154():333-345. PubMed ID: 35932722
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Recurrent neural networks for reconstructing complex directed brain connectivity.
    Duggento A; Guerrisi M; Toschi N
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6418-6421. PubMed ID: 31947311
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Dynamic paradigm in psychopathology: "chaos theory", from physics to psychiatry].
    Pezard L; Nandrino JL
    Encephale; 2001; 27(3):260-8. PubMed ID: 11488256
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network.
    Dong Q; Ge F; Ning Q; Zhao Y; Lv J; Huang H; Yuan J; Jiang X; Shen D; Liu T
    IEEE Trans Biomed Eng; 2020 Jun; 67(6):1739-1748. PubMed ID: 31647417
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Echo state network models for nonlinear Granger causality.
    Duggento A; Guerrisi M; Toschi N
    Philos Trans A Math Phys Eng Sci; 2021 Dec; 379(2212):20200256. PubMed ID: 34689621
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Modeling and augmenting of fMRI data using deep recurrent variational auto-encoder.
    Qiang N; Dong Q; Liang H; Ge B; Zhang S; Sun Y; Zhang C; Zhang W; Gao J; Liu T
    J Neural Eng; 2021 Jul; 18(4):. PubMed ID: 34229310
    [No Abstract]   [Full Text] [Related]  

  • 10. Generalized Recurrent Neural Network accommodating Dynamic Causal Modeling for functional MRI analysis.
    Wang Y; Wang Y; Lui YW
    Neuroimage; 2018 Sep; 178():385-402. PubMed ID: 29782993
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.
    Ribalta Lorenzo P; Nalepa J; Bobek-Billewicz B; Wawrzyniak P; Mrukwa G; Kawulok M; Ulrych P; Hayball MP
    Comput Methods Programs Biomed; 2019 Jul; 176():135-148. PubMed ID: 31200901
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Novel recurrent neural network for modelling biological networks: oscillatory p53 interaction dynamics.
    Ling H; Samarasinghe S; Kulasiri D
    Biosystems; 2013 Dec; 114(3):191-205. PubMed ID: 24012741
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer's Disease Stages Using Resting-State fMRI and Residual Neural Networks.
    Ramzan F; Khan MUG; Rehmat A; Iqbal S; Saba T; Rehman A; Mehmood Z
    J Med Syst; 2019 Dec; 44(2):37. PubMed ID: 31853655
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Biophysically interpretable recurrent neural network for functional magnetic resonance imaging analysis and sparsity based causal architecture discovery.
    Wang Y; Wang Y; Lui YW
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():275-278. PubMed ID: 30440391
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Constrained Magnetic Resonance Spectroscopic Imaging by Learning Nonlinear Low-Dimensional Models.
    Lam F; Li Y; Peng X
    IEEE Trans Med Imaging; 2020 Mar; 39(3):545-555. PubMed ID: 31352337
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multifrequency Hebbian plasticity in coupled neural oscillators.
    Kim JC; Large EW
    Biol Cybern; 2021 Feb; 115(1):43-57. PubMed ID: 33399947
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Synchronization of Van der Pol oscillators in a thermal bath.
    Ruan D; Liu J; Wu C
    Phys Rev E; 2023 Aug; 108(2-1):024207. PubMed ID: 37723705
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Expressive architectures enhance interpretability of dynamics-based neural population models.
    Sedler AR; Versteeg C; Pandarinath C
    Neuron Behav Data Anal Theory; 2023; 2023():. PubMed ID: 38699512
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Mutual connectivity analysis of resting-state functional MRI data with local models.
    DSouza AM; Abidin AZ; Chockanathan U; Schifitto G; Wismüller A
    Neuroimage; 2018 Sep; 178():210-223. PubMed ID: 29777828
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Fractional dynamical model for the generation of ECG like signals from filtered coupled Van-der Pol oscillators.
    Das S; Maharatna K
    Comput Methods Programs Biomed; 2013 Dec; 112(3):490-507. PubMed ID: 24028797
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.