Filtros : "Indexado no SciELO" "FFCLRP-591" "Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)" Removidos: "ENGENHARIA DE COMP E SIST DIGITAIS" "Portugal" "Mastelaro, Valmor Roberto" "Boletim Informações Fipe" "FCF004" "Fundação Museu do Homem Americano, São Raimundo Nonato, PI" "PELA, CARLOS ALBERTO" "SILVA JUNIOR, ORLANDO DE CASTRO E" "ARTIGO DE PERIODICO-DIVULGACAO" Limpar

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  • Source: Research on Biomedical Engineering. Unidades: FMRP, FFCLRP

    Subjects: ESCLEROSE MÚLTIPLA, RESSONÂNCIA MAGNÉTICA NUCLEAR

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      PESSINI, Rodrigo Antonio e SANTOS, Antônio Carlos dos e SALMON, Carlos Ernesto Garrido. Quantitative MRI data in Multiple Sclerosis patients: a pattern recognition study. Research on Biomedical Engineering, v. 34, n. 2, p. 138-146, 2018Tradução . . Disponível em: https://doi.org/10.1590/2446-4740.07117. Acesso em: 14 jul. 2024.
    • APA

      Pessini, R. A., Santos, A. C. dos, & Salmon, C. E. G. (2018). Quantitative MRI data in Multiple Sclerosis patients: a pattern recognition study. Research on Biomedical Engineering, 34( 2), 138-146. doi:10.1590/2446-4740.07117
    • NLM

      Pessini RA, Santos AC dos, Salmon CEG. Quantitative MRI data in Multiple Sclerosis patients: a pattern recognition study [Internet]. Research on Biomedical Engineering. 2018 ; 34( 2): 138-146.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1590/2446-4740.07117
    • Vancouver

      Pessini RA, Santos AC dos, Salmon CEG. Quantitative MRI data in Multiple Sclerosis patients: a pattern recognition study [Internet]. Research on Biomedical Engineering. 2018 ; 34( 2): 138-146.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1590/2446-4740.07117
  • Source: Materials Research. Unidade: FFCLRP

    Subjects: SENSORES BIOMÉDICOS, SENSORES QUÍMICOS, RESISTÊNCIA ELÉTRICA

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    • ABNT

      NASCIMENTO, Raphael Aparecido Sanches e MULATO, Marcelo. Mechanisms of ion detection for FET-sensors using FTO:: role of cleaning process, pH sequence and electrical resistivity. Materials Research, v. 20, n. 5, p. 1369-1379, 2017Tradução . . Disponível em: https://doi.org/10.1590/1980-5373-mr-2017-0502. Acesso em: 14 jul. 2024.
    • APA

      Nascimento, R. A. S., & Mulato, M. (2017). Mechanisms of ion detection for FET-sensors using FTO:: role of cleaning process, pH sequence and electrical resistivity. Materials Research, 20( 5), 1369-1379. doi:10.1590/1980-5373-mr-2017-0502
    • NLM

      Nascimento RAS, Mulato M. Mechanisms of ion detection for FET-sensors using FTO:: role of cleaning process, pH sequence and electrical resistivity [Internet]. Materials Research. 2017 ; 20( 5): 1369-1379.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1590/1980-5373-mr-2017-0502
    • Vancouver

      Nascimento RAS, Mulato M. Mechanisms of ion detection for FET-sensors using FTO:: role of cleaning process, pH sequence and electrical resistivity [Internet]. Materials Research. 2017 ; 20( 5): 1369-1379.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1590/1980-5373-mr-2017-0502
  • Source: Research on Biomedical Engineering. Unidades: FMRP, FFCLRP

    Subjects: IMAGEM POR RESSONÂNCIA MAGNÉTICA, ALGORITMOS, CLUSTERS

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    • ABNT

      PERES, André Salles Cunha et al. Performance quantification of clustering algorithms for false positive removal in fMRI by ROC curves. Research on Biomedical Engineering, v. 33, n. 1, p. 31-41, 2017Tradução . . Disponível em: https://doi.org/10.1590/2446-4740.03215. Acesso em: 14 jul. 2024.
    • APA

      Peres, A. S. C., Lemos, T. W. de, Barros, A. K. D., Baffa, O., & Araújo, D. B. de. (2017). Performance quantification of clustering algorithms for false positive removal in fMRI by ROC curves. Research on Biomedical Engineering, 33( 1), 31-41. doi:10.1590/2446-4740.03215
    • NLM

      Peres ASC, Lemos TW de, Barros AKD, Baffa O, Araújo DB de. Performance quantification of clustering algorithms for false positive removal in fMRI by ROC curves [Internet]. Research on Biomedical Engineering. 2017 ; 33( 1): 31-41.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1590/2446-4740.03215
    • Vancouver

      Peres ASC, Lemos TW de, Barros AKD, Baffa O, Araújo DB de. Performance quantification of clustering algorithms for false positive removal in fMRI by ROC curves [Internet]. Research on Biomedical Engineering. 2017 ; 33( 1): 31-41.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1590/2446-4740.03215
  • Source: Research on Biomedical Engineering. Unidades: FMRP, FFCLRP

    Subjects: NEOPLASIAS CEREBRAIS, ABSCESSO, ESPECTROSCOPIA, RECONHECIMENTO DE PADRÕES

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    • ABNT

      VIEIRA, Bruno Hebling e SANTOS, Antônio Carlos dos e SALMON, Carlos Ernesto Garrido. Pattern recognition of abscesses and brain tumors through MR spectroscopy: comparison of experimental conditions and radiological findings. Research on Biomedical Engineering, v. 33, n. 3, p. 185-194, 2017Tradução . . Disponível em: https://doi.org/10.1590/2446-4740.00617. Acesso em: 14 jul. 2024.
    • APA

      Vieira, B. H., Santos, A. C. dos, & Salmon, C. E. G. (2017). Pattern recognition of abscesses and brain tumors through MR spectroscopy: comparison of experimental conditions and radiological findings. Research on Biomedical Engineering, 33( 3), 185-194. doi:10.1590/2446-4740.00617
    • NLM

      Vieira BH, Santos AC dos, Salmon CEG. Pattern recognition of abscesses and brain tumors through MR spectroscopy: comparison of experimental conditions and radiological findings [Internet]. Research on Biomedical Engineering. 2017 ; 33( 3): 185-194.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1590/2446-4740.00617
    • Vancouver

      Vieira BH, Santos AC dos, Salmon CEG. Pattern recognition of abscesses and brain tumors through MR spectroscopy: comparison of experimental conditions and radiological findings [Internet]. Research on Biomedical Engineering. 2017 ; 33( 3): 185-194.[citado 2024 jul. 14 ] Available from: https://doi.org/10.1590/2446-4740.00617

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