ReP USP - Resultado da busca

Artigo de periodico
Brain structural signature of of RFC1-related disorder (2021)
Matos, Paula Camila A. A. P.; Rezende, Thiago J. R.; Schmitt, Gabriel S.; Bonadia, Luciana Cardoso; Reis, Fabiano; Martinez, Alberto R.M.; Lima, Fabricio Diniz de ; Bueno, Manoella Guerra de Albuquerque; Tomaselli, Pedro José; Cendes, Fernando; Pedroso, José Luiz ; Barsottini, Orlando G.P.; Marques Júnior, Wilson ; França Júnior, Marcondes Cavalcante
Source: Movement Disorders. Unidade: FMRP
Subjects: DOENÇAS INFECCIOSAS, IMUNIDADE, POLIMORFISMO, GENÉTICA, CLIMATOLOGIA TROPICAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MATOS, Paula Camila A. A. P. et al. Brain structural signature of of RFC1-related disorder. Movement Disorders, v. 36, n. 11, p. 2634-2641, 2021Tradução . . Disponível em: https://doi.org/10.1002/mds.28711. Acesso em: 03 maio 2026.
APA
Matos, P. C. A. A. P., Rezende, T. J. R., Schmitt, G. S., Bonadia, L. C., Reis, F., Martinez, A. R. M., et al. (2021). Brain structural signature of of RFC1-related disorder. Movement Disorders, 36( 11), 2634-2641. doi:10.1002/mds.28711
NLM
Matos PCAAP, Rezende TJR, Schmitt GS, Bonadia LC, Reis F, Martinez ARM, Lima FD de, Bueno MG de A, Tomaselli PJ, Cendes F, Pedroso JL, Barsottini OGP, Marques Júnior W, França Júnior MC. Brain structural signature of of RFC1-related disorder [Internet]. Movement Disorders. 2021 ; 36( 11): 2634-2641.[citado 2026 maio 03 ] Available from: https://doi.org/10.1002/mds.28711
Vancouver
Matos PCAAP, Rezende TJR, Schmitt GS, Bonadia LC, Reis F, Martinez ARM, Lima FD de, Bueno MG de A, Tomaselli PJ, Cendes F, Pedroso JL, Barsottini OGP, Marques Júnior W, França Júnior MC. Brain structural signature of of RFC1-related disorder [Internet]. Movement Disorders. 2021 ; 36( 11): 2634-2641.[citado 2026 maio 03 ] Available from: https://doi.org/10.1002/mds.28711
Trabalho de evento
Self-organizing maps as a tool for segmentation of magnetic resonance imaging (MRI) of relapsing-remitting multiple sclerosis (2017)
Mei, Paulo Afonso; Carneiro, Cleyton de Carvalho ; Kuroda, Michelle Chaves; Fraser, Stephen ; Min, Li Li; Reis, Fabiano
Source: Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. Conference titles: International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM). Unidade: EP
Subjects: IMAGEM POR RESSONÂNCIA MAGNÉTICA, MAPAS, ESCLEROSE MÚLTIPLA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MEI, Paulo Afonso et al. Self-organizing maps as a tool for segmentation of magnetic resonance imaging (MRI) of relapsing-remitting multiple sclerosis. 2017, Anais.. Nancy: IEEE, 2017. Disponível em: https://doi.org/10.1109/WSOM.2017.8020005. Acesso em: 03 maio 2026.
APA
Mei, P. A., Carneiro, C. de C., Kuroda, M. C., Fraser, S., Min, L. L., & Reis, F. (2017). Self-organizing maps as a tool for segmentation of magnetic resonance imaging (MRI) of relapsing-remitting multiple sclerosis. In Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. Nancy: IEEE. doi:10.1109/WSOM.2017.8020005
NLM
Mei PA, Carneiro C de C, Kuroda MC, Fraser S, Min LL, Reis F. Self-organizing maps as a tool for segmentation of magnetic resonance imaging (MRI) of relapsing-remitting multiple sclerosis [Internet]. Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. 2017 ;[citado 2026 maio 03 ] Available from: https://doi.org/10.1109/WSOM.2017.8020005
Vancouver
Mei PA, Carneiro C de C, Kuroda MC, Fraser S, Min LL, Reis F. Self-organizing maps as a tool for segmentation of magnetic resonance imaging (MRI) of relapsing-remitting multiple sclerosis [Internet]. Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. 2017 ;[citado 2026 maio 03 ] Available from: https://doi.org/10.1109/WSOM.2017.8020005
Artigo de periodico
Analysis of neoplastic lesions in magnetic resonance imaging using self-organizing maps (2015)
Mei, Paulo Afonso; Carneiro, Cleyton de Carvalho ; Fraser, Stephen ; Min, Li Li; Reis, Fabiano
Source: Journal of the neurological sciences. Unidade: EP
Assunto: IMAGEM POR RESSONÂNCIA MAGNÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MEI, Paulo Afonso et al. Analysis of neoplastic lesions in magnetic resonance imaging using self-organizing maps. Journal of the neurological sciences, v. 359, n. 1, p. 78-83, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.jns.2015.10.032. Acesso em: 03 maio 2026.
APA
Mei, P. A., Carneiro, C. de C., Fraser, S., Min, L. L., & Reis, F. (2015). Analysis of neoplastic lesions in magnetic resonance imaging using self-organizing maps. Journal of the neurological sciences, 359( 1), 78-83. doi:10.1016/j.jns.2015.10.032
NLM
Mei PA, Carneiro C de C, Fraser S, Min LL, Reis F. Analysis of neoplastic lesions in magnetic resonance imaging using self-organizing maps [Internet]. Journal of the neurological sciences. 2015 ; 359( 1): 78-83.[citado 2026 maio 03 ] Available from: https://doi.org/10.1016/j.jns.2015.10.032
Vancouver
Mei PA, Carneiro C de C, Fraser S, Min LL, Reis F. Analysis of neoplastic lesions in magnetic resonance imaging using self-organizing maps [Internet]. Journal of the neurological sciences. 2015 ; 359( 1): 78-83.[citado 2026 maio 03 ] Available from: https://doi.org/10.1016/j.jns.2015.10.032
Trabalho de evento-resumo periodico
Self-Organizing Maps as a Complementary and Non-Invasive Technique for the Analysis of Brain Tumors (2013)
Mei, Paulo Afonso; Carneiro, Cleyton de Carvalho ; Fraser, Stephen ; Min, Li Li; Reis, Fabiano
Source: Neurology. Conference titles: Annual Meeting of the American Academy of Neurology. Unidade: EP
Assunto: IMAGEM POR RESSONÂNCIA MAGNÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MEI, Paulo Afonso et al. Self-Organizing Maps as a Complementary and Non-Invasive Technique for the Analysis of Brain Tumors. Neurology. San Diego: American Academy of Neurology. Disponível em: https://n.neurology.org/content/80/7_Supplement/S39.005. Acesso em: 03 maio 2026. , 2013
APA
Mei, P. A., Carneiro, C. de C., Fraser, S., Min, L. L., & Reis, F. (2013). Self-Organizing Maps as a Complementary and Non-Invasive Technique for the Analysis of Brain Tumors. Neurology. San Diego: American Academy of Neurology. Recuperado de https://n.neurology.org/content/80/7_Supplement/S39.005
NLM
Mei PA, Carneiro C de C, Fraser S, Min LL, Reis F. Self-Organizing Maps as a Complementary and Non-Invasive Technique for the Analysis of Brain Tumors [Internet]. Neurology. 2013 ; 80 n. 7 Supplement[citado 2026 maio 03 ] Available from: https://n.neurology.org/content/80/7_Supplement/S39.005
Vancouver
Mei PA, Carneiro C de C, Fraser S, Min LL, Reis F. Self-Organizing Maps as a Complementary and Non-Invasive Technique for the Analysis of Brain Tumors [Internet]. Neurology. 2013 ; 80 n. 7 Supplement[citado 2026 maio 03 ] Available from: https://n.neurology.org/content/80/7_Supplement/S39.005

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