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Filtros : "Universidade Federal do ABC (UFABC)" "FUJITA, ANDRÉ" Removidos: "Nunes, Maria Tereza" "Sala, Miguel Angel" "IGC-GSA" Limpar

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1 - 9 (9 records)

  • Artigo de periodico

    Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder (2021)

    Ribeiro, Adèle Helena ; Vidal, Maciel Calebe ; Sato, João Ricardo ; Fujita, André

    Source: Entropy. Unidade: IME

    Subjects: GRAFOS ALEATÓRIOS, TRANSTORNO AUTÍSTICO

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    • ABNT

      RIBEIRO, Adèle Helena et al. Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder. Entropy, v. 23, n. 9, p. 1-21, 2021Tradução . . Disponível em: https://doi.org/10.3390/e23091204. Acesso em: 14 jun. 2024.

    • APA

      Ribeiro, A. H., Vidal, M. C., Sato, J. R., & Fujita, A. (2021). Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder. Entropy, 23( 9), 1-21. doi:10.3390/e23091204

    • NLM

      Ribeiro AH, Vidal MC, Sato JR, Fujita A. Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder [Internet]. Entropy. 2021 ; 23( 9): 1-21.[citado 2024 jun. 14 ] Available from: https://doi.org/10.3390/e23091204

    • Vancouver

      Ribeiro AH, Vidal MC, Sato JR, Fujita A. Granger causality among graphs and application to functional brain connectivity in autism spectrum disorder [Internet]. Entropy. 2021 ; 23( 9): 1-21.[citado 2024 jun. 14 ] Available from: https://doi.org/10.3390/e23091204

  • Artigo de periodico

    Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder (2019)

    Ramos, Taiane Coelho; Balardin, Joana Bisol ; Sato, João Ricardo ; Fujita, André

    Source: Frontiers in Systems Neuroscience. Unidade: IME

    Subjects: TRANSTORNOS COGNITIVOS, BIOINFORMÁTICA

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    • ABNT

      RAMOS, Taiane Coelho et al. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder. Frontiers in Systems Neuroscience, v. 12, 2019Tradução . . Disponível em: https://doi.org/10.3389/fnsys.2018.00074. Acesso em: 14 jun. 2024.

    • APA

      Ramos, T. C., Balardin, J. B., Sato, J. R., & Fujita, A. (2019). Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder. Frontiers in Systems Neuroscience, 12. doi:10.3389/fnsys.2018.00074

    • NLM

      Ramos TC, Balardin JB, Sato JR, Fujita A. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder [Internet]. Frontiers in Systems Neuroscience. 2019 ; 12[citado 2024 jun. 14 ] Available from: https://doi.org/10.3389/fnsys.2018.00074

    • Vancouver

      Ramos TC, Balardin JB, Sato JR, Fujita A. Abnormal cortico-cerebellar functional connectivity in autism spectrum disorder [Internet]. Frontiers in Systems Neuroscience. 2019 ; 12[citado 2024 jun. 14 ] Available from: https://doi.org/10.3389/fnsys.2018.00074

  • Artigo de periodico

    Identification of alterations associated with age in the clustering structure of functional brain networks (2018)

    Guzman, Grover Enrique Castro ; Sato, João Ricardo ; Vidal, Maciel Calebe ; Fujita, André

    Source: PLOS ONE. Unidade: IME

    Assunto: BIOINFORMÁTICA

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      GUZMAN, Grover Enrique Castro et al. Identification of alterations associated with age in the clustering structure of functional brain networks. PLOS ONE, v. 13, n. 5 , p. 1-14, 2018Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0195906. Acesso em: 14 jun. 2024.

    • APA

      Guzman, G. E. C., Sato, J. R., Vidal, M. C., & Fujita, A. (2018). Identification of alterations associated with age in the clustering structure of functional brain networks. PLOS ONE, 13( 5 ), 1-14. doi:10.1371/journal.pone.0195906

    • NLM

      Guzman GEC, Sato JR, Vidal MC, Fujita A. Identification of alterations associated with age in the clustering structure of functional brain networks [Internet]. PLOS ONE. 2018 ; 13( 5 ): 1-14.[citado 2024 jun. 14 ] Available from: https://doi.org/10.1371/journal.pone.0195906

    • Vancouver

      Guzman GEC, Sato JR, Vidal MC, Fujita A. Identification of alterations associated with age in the clustering structure of functional brain networks [Internet]. PLOS ONE. 2018 ; 13( 5 ): 1-14.[citado 2024 jun. 14 ] Available from: https://doi.org/10.1371/journal.pone.0195906

  • Artigo de periodico

    Correlation between graphs with an application to brain network analysis (2017)

    Fujita, André ; Takahashi, Daniel Yasumasa ; Balardin, Joana Bisol ; Vidal, Maciel Calebe ; Sato, João Ricardo

    Source: Computational Statistics and Data Analysis. Unidade: IME

    Assunto: REDES NEURAIS

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    • ABNT

      FUJITA, André et al. Correlation between graphs with an application to brain network analysis. Computational Statistics and Data Analysis, v. 109, p. 76-92, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.csda.2016.11.016. Acesso em: 14 jun. 2024.

    • APA

      Fujita, A., Takahashi, D. Y., Balardin, J. B., Vidal, M. C., & Sato, J. R. (2017). Correlation between graphs with an application to brain network analysis. Computational Statistics and Data Analysis, 109, 76-92. doi:10.1016/j.csda.2016.11.016

    • NLM

      Fujita A, Takahashi DY, Balardin JB, Vidal MC, Sato JR. Correlation between graphs with an application to brain network analysis [Internet]. Computational Statistics and Data Analysis. 2017 ; 109 76-92.[citado 2024 jun. 14 ] Available from: https://doi.org/10.1016/j.csda.2016.11.016

    • Vancouver

      Fujita A, Takahashi DY, Balardin JB, Vidal MC, Sato JR. Correlation between graphs with an application to brain network analysis [Internet]. Computational Statistics and Data Analysis. 2017 ; 109 76-92.[citado 2024 jun. 14 ] Available from: https://doi.org/10.1016/j.csda.2016.11.016

  • Artigo de periodico

    ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder (2017)

    Vidal, Maciel Calebe ; Sato, João Ricardo ; Balardin, Joana Bisol ; Takahashi, Daniel Yasumasa ; Fujita, André

    Source: Frontiers in Neuroscience. Unidade: IME

    Subjects: CIÊNCIA DA COMPUTAÇÃO, CIÊNCIA DA COMPUTAÇÃO, ESTATÍSTICA, ANÁLISE DE VARIÂNCIA

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    • ABNT

      VIDAL, Maciel Calebe et al. ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder. Frontiers in Neuroscience, v. 11, p. 1-8, 2017Tradução . . Disponível em: https://doi.org/10.3389/fnins.2017.00016. Acesso em: 14 jun. 2024.

    • APA

      Vidal, M. C., Sato, J. R., Balardin, J. B., Takahashi, D. Y., & Fujita, A. (2017). ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder. Frontiers in Neuroscience, 11, 1-8. doi:10.3389/fnins.2017.00016

    • NLM

      Vidal MC, Sato JR, Balardin JB, Takahashi DY, Fujita A. ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder [Internet]. Frontiers in Neuroscience. 2017 ;11 1-8.[citado 2024 jun. 14 ] Available from: https://doi.org/10.3389/fnins.2017.00016

    • Vancouver

      Vidal MC, Sato JR, Balardin JB, Takahashi DY, Fujita A. ANOCVA in R: a software to compare clusters between groups and its application to the study of autism spectrum disorder [Internet]. Frontiers in Neuroscience. 2017 ;11 1-8.[citado 2024 jun. 14 ] Available from: https://doi.org/10.3389/fnins.2017.00016

  • Artigo de periodico

    Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis (2016)

    Sato, João Ricardo ; Balardin, Joana Bisol ; Vidal, Maciel Calebe ; Fujita, André

    Source: Journal of Psychiatry and Neuroscience. Unidade: IME

    Subjects: BIOINFORMÁTICA, ESTATÍSTICA COMPUTACIONAL, AUTISMO, CRIANÇAS AUTISTAS

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    • ABNT

      SATO, João Ricardo et al. Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis. Journal of Psychiatry and Neuroscience, v. 41, n. 2, p. 124-132, 2016Tradução . . Disponível em: https://doi.org/10.1503/jpn.140364. Acesso em: 14 jun. 2024.

    • APA

      Sato, J. R., Balardin, J. B., Vidal, M. C., & Fujita, A. (2016). Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis. Journal of Psychiatry and Neuroscience, 41( 2), 124-132. doi:10.1503/jpn.140364

    • NLM

      Sato JR, Balardin JB, Vidal MC, Fujita A. Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis [Internet]. Journal of Psychiatry and Neuroscience. 2016 ; 41( 2): 124-132.[citado 2024 jun. 14 ] Available from: https://doi.org/10.1503/jpn.140364

    • Vancouver

      Sato JR, Balardin JB, Vidal MC, Fujita A. Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis [Internet]. Journal of Psychiatry and Neuroscience. 2016 ; 41( 2): 124-132.[citado 2024 jun. 14 ] Available from: https://doi.org/10.1503/jpn.140364

  • Artigo de periodico

    A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data (2014)

    Fujita, André ; Takahashi, Daniel Yasumasa ; Patriota, Alexandre Galvão ; Sato, João Ricardo

    Source: Statistics in Medicine. Unidade: IME

    Subjects: RECONHECIMENTO DE PADRÕES, INTELIGÊNCIA ARTIFICIAL, ESTATÍSTICA COMPUTACIONAL, RESSONÂNCIA MAGNÉTICA, INFERÊNCIA NÃO PARAMÉTRICA, INFERÊNCIA ESTATÍSTICA, COMPUTAÇÃO GRÁFICA

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    • ABNT

      FUJITA, André et al. A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data. Statistics in Medicine, v. 33, n. 28, p. 4949-4962, 2014Tradução . . Disponível em: https://doi.org/10.1002/sim.6292. Acesso em: 14 jun. 2024.

    • APA

      Fujita, A., Takahashi, D. Y., Patriota, A. G., & Sato, J. R. (2014). A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data. Statistics in Medicine, 33( 28), 4949-4962. doi:10.1002/sim.6292

    • NLM

      Fujita A, Takahashi DY, Patriota AG, Sato JR. A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data [Internet]. Statistics in Medicine. 2014 ; 33( 28): 4949-4962.[citado 2024 jun. 14 ] Available from: https://doi.org/10.1002/sim.6292

    • Vancouver

      Fujita A, Takahashi DY, Patriota AG, Sato JR. A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data [Internet]. Statistics in Medicine. 2014 ; 33( 28): 4949-4962.[citado 2024 jun. 14 ] Available from: https://doi.org/10.1002/sim.6292

  • Artigo de periodico

    Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders (2013)

    Sato, João Ricardo ; Takahashi, Daniel Yasumasa ; Hoexter, Marcelo Queiroz ; Massirer, Katlin Brauer ; Fujita, André

    Source: Neuroimage. Unidades: IME, FM

    Assunto: DISTÚRBIOS PSICOLÓGICOS

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    • ABNT

      SATO, João Ricardo et al. Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders. Neuroimage, v. 77, p. 44-51, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.neuroimage.2013.03.035. Acesso em: 14 jun. 2024.

    • APA

      Sato, J. R., Takahashi, D. Y., Hoexter, M. Q., Massirer, K. B., & Fujita, A. (2013). Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders. Neuroimage, 77, 44-51. doi:10.1016/j.neuroimage.2013.03.035

    • NLM

      Sato JR, Takahashi DY, Hoexter MQ, Massirer KB, Fujita A. Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders [Internet]. Neuroimage. 2013 ; 77 44-51.[citado 2024 jun. 14 ] Available from: https://doi.org/10.1016/j.neuroimage.2013.03.035

    • Vancouver

      Sato JR, Takahashi DY, Hoexter MQ, Massirer KB, Fujita A. Measuring network's entropy in ADHD: a new approach to investigate neuropsychiatric disorders [Internet]. Neuroimage. 2013 ; 77 44-51.[citado 2024 jun. 14 ] Available from: https://doi.org/10.1016/j.neuroimage.2013.03.035

  • Artigo de periodico

    Discriminating different classes of biological networks by analyzing the graphs spectra distribution (2012)

    Takahashi, Daniel Yasumasa ; Sato, João Ricardo ; Ferreira, Carlos Eduardo ; Fujita, André

    Source: PLOS ONE. Unidade: IME

    Assunto: COMBINATÓRIA

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    • ABNT

      TAKAHASHI, Daniel Yasumasa et al. Discriminating different classes of biological networks by analyzing the graphs spectra distribution. PLOS ONE, v. 7, n. 12, p. 1-12, 2012Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0049949. Acesso em: 14 jun. 2024.

    • APA

      Takahashi, D. Y., Sato, J. R., Ferreira, C. E., & Fujita, A. (2012). Discriminating different classes of biological networks by analyzing the graphs spectra distribution. PLOS ONE, 7( 12), 1-12. doi:10.1371/journal.pone.0049949

    • NLM

      Takahashi DY, Sato JR, Ferreira CE, Fujita A. Discriminating different classes of biological networks by analyzing the graphs spectra distribution [Internet]. PLOS ONE. 2012 ; 7( 12): 1-12.[citado 2024 jun. 14 ] Available from: https://doi.org/10.1371/journal.pone.0049949

    • Vancouver

      Takahashi DY, Sato JR, Ferreira CE, Fujita A. Discriminating different classes of biological networks by analyzing the graphs spectra distribution [Internet]. PLOS ONE. 2012 ; 7( 12): 1-12.[citado 2024 jun. 14 ] Available from: https://doi.org/10.1371/journal.pone.0049949
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