Filtros : "SALMON, CARLOS ERNESTO GARRIDO" "VIEIRA, BRUNO HEBLING" "FFCLRP" Removidos: "República Tcheca" "University of Oxford (UO)" Limpar

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  • Source: Intelligence. Unidades: FFCLRP, FMRP

    Subjects: IMAGEM POR RESSONÂNCIA MAGNÉTICA, NEUROLOGIA, COGNIÇÃO, APRENDIZADO COMPUTACIONAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      VIEIRA, Bruno Hebling et al. On the prediction of human intelligence from neuroimaging: A systematic review of methods and reporting. Intelligence, v. 93, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.intell.2022.101654. Acesso em: 07 jun. 2024.
    • APA

      Vieira, B. H., Pamplona, G. S. P., Fachinello, K., Silva, A. K., Foss, M. P., & Salmon, C. E. G. (2022). On the prediction of human intelligence from neuroimaging: A systematic review of methods and reporting. Intelligence, 93. doi:10.1016/j.intell.2022.101654
    • NLM

      Vieira BH, Pamplona GSP, Fachinello K, Silva AK, Foss MP, Salmon CEG. On the prediction of human intelligence from neuroimaging: A systematic review of methods and reporting [Internet]. Intelligence. 2022 ; 93[citado 2024 jun. 07 ] Available from: https://doi.org/10.1016/j.intell.2022.101654
    • Vancouver

      Vieira BH, Pamplona GSP, Fachinello K, Silva AK, Foss MP, Salmon CEG. On the prediction of human intelligence from neuroimaging: A systematic review of methods and reporting [Internet]. Intelligence. 2022 ; 93[citado 2024 jun. 07 ] Available from: https://doi.org/10.1016/j.intell.2022.101654
  • Source: Human Brain Mapping. Unidade: FFCLRP

    Subjects: CÉREBRO, DIAGNÓSTICO POR IMAGEM, INTELIGÊNCIA, RESSONÂNCIA MAGNÉTICA, REDE NERVOSA

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    • ABNT

      VIEIRA, Bruno Hebling et al. A deep learning based approach identifies regions more relevant than resting‐state networks to the prediction of general intelligence from resting‐state fMRI. Human Brain Mapping, v. 42, n. 18, p. 5873-5887, 2021Tradução . . Disponível em: https://doi.org/10.1002/hbm.25656. Acesso em: 07 jun. 2024.
    • APA

      Vieira, B. H., Dubois, J., Calhoun, V. D., & Salmon, C. E. G. (2021). A deep learning based approach identifies regions more relevant than resting‐state networks to the prediction of general intelligence from resting‐state fMRI. Human Brain Mapping, 42( 18), 5873-5887. doi:10.1002/hbm.25656
    • NLM

      Vieira BH, Dubois J, Calhoun VD, Salmon CEG. A deep learning based approach identifies regions more relevant than resting‐state networks to the prediction of general intelligence from resting‐state fMRI [Internet]. Human Brain Mapping. 2021 ; 42( 18): 5873-5887.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1002/hbm.25656
    • Vancouver

      Vieira BH, Dubois J, Calhoun VD, Salmon CEG. A deep learning based approach identifies regions more relevant than resting‐state networks to the prediction of general intelligence from resting‐state fMRI [Internet]. Human Brain Mapping. 2021 ; 42( 18): 5873-5887.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1002/hbm.25656
  • Source: Neuroimage: Reports. Unidade: FFCLRP

    Subjects: ENVELHECIMENTO, CÉREBRO, MORFOMETRIA, CÓRTEX CEREBRAL

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    • ABNT

      VIEIRA, Bruno Hebling e SALMON, Carlos Ernesto Garrido. Sublinear association between cortical thickness at the onset of the adult lifespan and age-related annual atrophy parallels spatial patterns of laminar organization in the adult cerebral cortex. Neuroimage: Reports, v. 1, n. 2, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ynirp.2021.100011. Acesso em: 07 jun. 2024.
    • APA

      Vieira, B. H., & Salmon, C. E. G. (2021). Sublinear association between cortical thickness at the onset of the adult lifespan and age-related annual atrophy parallels spatial patterns of laminar organization in the adult cerebral cortex. Neuroimage: Reports, 1( 2). doi:10.1016/j.ynirp.2021.100011
    • NLM

      Vieira BH, Salmon CEG. Sublinear association between cortical thickness at the onset of the adult lifespan and age-related annual atrophy parallels spatial patterns of laminar organization in the adult cerebral cortex [Internet]. Neuroimage: Reports. 2021 ; 1( 2):[citado 2024 jun. 07 ] Available from: https://doi.org/10.1016/j.ynirp.2021.100011
    • Vancouver

      Vieira BH, Salmon CEG. Sublinear association between cortical thickness at the onset of the adult lifespan and age-related annual atrophy parallels spatial patterns of laminar organization in the adult cerebral cortex [Internet]. Neuroimage: Reports. 2021 ; 1( 2):[citado 2024 jun. 07 ] Available from: https://doi.org/10.1016/j.ynirp.2021.100011
  • Source: Neuroinformatics. Unidade: FFCLRP

    Subjects: NEUROLOGIA, INFORMÁTICA MÉDICA, NEUROIMAGEM, REDES NEURAIS

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    • ABNT

      PAMPLONA, Gustavo S. P. et al. Personode: a toolbox for ICA map classification and individualized ROI definition. Neuroinformatics, v. 18, n. 3, p. 339-349, 2020Tradução . . Disponível em: https://doi.org/10.1007/s12021-019-09449-4. Acesso em: 07 jun. 2024.
    • APA

      Pamplona, G. S. P., Vieira, B. H., Scharnowski, F., & Salmon, C. E. G. (2020). Personode: a toolbox for ICA map classification and individualized ROI definition. Neuroinformatics, 18( 3), 339-349. doi:10.1007/s12021-019-09449-4
    • NLM

      Pamplona GSP, Vieira BH, Scharnowski F, Salmon CEG. Personode: a toolbox for ICA map classification and individualized ROI definition [Internet]. Neuroinformatics. 2020 ; 18( 3): 339-349.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1007/s12021-019-09449-4
    • Vancouver

      Pamplona GSP, Vieira BH, Scharnowski F, Salmon CEG. Personode: a toolbox for ICA map classification and individualized ROI definition [Internet]. Neuroinformatics. 2020 ; 18( 3): 339-349.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1007/s12021-019-09449-4
  • Source: NeuroImage. Unidade: FFCLRP

    Subjects: CÉREBRO, ENVELHECIMENTO, NEUROIMAGEM

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    • ABNT

      VIEIRA, Bruno Hebling e RONDINONI, Carlo e SALMON, Carlos Ernesto Garrido. Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysis. NeuroImage, v. 211, p. 1-9, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.neuroimage.2020.116662. Acesso em: 07 jun. 2024.
    • APA

      Vieira, B. H., Rondinoni, C., & Salmon, C. E. G. (2020). Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysis. NeuroImage, 211, 1-9. doi:10.1016/j.neuroimage.2020.116662
    • NLM

      Vieira BH, Rondinoni C, Salmon CEG. Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysis [Internet]. NeuroImage. 2020 ; 211 1-9.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1016/j.neuroimage.2020.116662
    • Vancouver

      Vieira BH, Rondinoni C, Salmon CEG. Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysis [Internet]. NeuroImage. 2020 ; 211 1-9.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1016/j.neuroimage.2020.116662
  • Source: Journal of Neuroscience Methods. Unidade: FFCLRP

    Subjects: ENVELHECIMENTO, NEUROCIÊNCIAS

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      VIEIRA, Bruno Hebling e SALMON, Carlos Ernesto Garrido. A principled multivariate intersubject analysis of generalized partial directed coherence with Dirichlet regression: application to healthy aging in areas exhibiting cortical thinning. Journal of Neuroscience Methods, v. 311, p. 243-252, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jneumeth.2018.10.033. Acesso em: 07 jun. 2024.
    • APA

      Vieira, B. H., & Salmon, C. E. G. (2019). A principled multivariate intersubject analysis of generalized partial directed coherence with Dirichlet regression: application to healthy aging in areas exhibiting cortical thinning. Journal of Neuroscience Methods, 311, 243-252. doi:10.1016/j.jneumeth.2018.10.033
    • NLM

      Vieira BH, Salmon CEG. A principled multivariate intersubject analysis of generalized partial directed coherence with Dirichlet regression: application to healthy aging in areas exhibiting cortical thinning [Internet]. Journal of Neuroscience Methods. 2019 ; 311 243-252.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1016/j.jneumeth.2018.10.033
    • Vancouver

      Vieira BH, Salmon CEG. A principled multivariate intersubject analysis of generalized partial directed coherence with Dirichlet regression: application to healthy aging in areas exhibiting cortical thinning [Internet]. Journal of Neuroscience Methods. 2019 ; 311 243-252.[citado 2024 jun. 07 ] Available from: https://doi.org/10.1016/j.jneumeth.2018.10.033
  • Source: Resumos. Conference titles: Encontro de Outono da Sociedade Brasileira de Física - EOSBF. Unidade: FFCLRP

    Assunto: CÉREBRO

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    • ABNT

      VIEIRA, Bruno Hebling e SALMON, Carlos Ernesto Garrido. Cortical thickness and age-related thinning jointly reveal spatial patterns of granularity. 2018, Anais.. São Paulo: Sociedade Brasileira de Física - SBF, 2018. Disponível em: https://sec.sbfisica.org.br/eventos/enfmc/xli/prog/trabalhos.asp?sesId=105. Acesso em: 07 jun. 2024.
    • APA

      Vieira, B. H., & Salmon, C. E. G. (2018). Cortical thickness and age-related thinning jointly reveal spatial patterns of granularity. In Resumos. São Paulo: Sociedade Brasileira de Física - SBF. Recuperado de https://sec.sbfisica.org.br/eventos/enfmc/xli/prog/trabalhos.asp?sesId=105
    • NLM

      Vieira BH, Salmon CEG. Cortical thickness and age-related thinning jointly reveal spatial patterns of granularity [Internet]. Resumos. 2018 ;[citado 2024 jun. 07 ] Available from: https://sec.sbfisica.org.br/eventos/enfmc/xli/prog/trabalhos.asp?sesId=105
    • Vancouver

      Vieira BH, Salmon CEG. Cortical thickness and age-related thinning jointly reveal spatial patterns of granularity [Internet]. Resumos. 2018 ;[citado 2024 jun. 07 ] Available from: https://sec.sbfisica.org.br/eventos/enfmc/xli/prog/trabalhos.asp?sesId=105

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