Filtros : "Hashimoto, Ronaldo Fumio" Removidos: "Mishra, Yogendra Kumar" "Brazilian Symposium on Computer Graphics and Image Processing - SIBGRAPI" Limpar

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  • Source: Proceedings. Conference titles: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME

    Assunto: COMPUTAÇÃO APLICADA

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      SILVA, Dennis José da et al. Differential maximum euclidean distance transform computation in component trees. 2024, Anais.. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-319-41501-7_81. Acesso em: 03 nov. 2024.
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      Silva, D. J. da, Miranda, P. A. V. de, Alves, W. A. L., Hashimoto, R. F., Kosinka, J., & Roerdink, J. B. T. M. (2024). Differential maximum euclidean distance transform computation in component trees. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-57793-2_6
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      Silva DJ da, Miranda PAV de, Alves WAL, Hashimoto RF, Kosinka J, Roerdink JBTM. Differential maximum euclidean distance transform computation in component trees [Internet]. Proceedings. 2024 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-319-41501-7_81
    • Vancouver

      Silva DJ da, Miranda PAV de, Alves WAL, Hashimoto RF, Kosinka J, Roerdink JBTM. Differential maximum euclidean distance transform computation in component trees [Internet]. Proceedings. 2024 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-319-41501-7_81
  • Source: Non-coding RNA Research. Unidades: IME, BIOINFORMÁTICA

    Subjects: NEOPLASIAS PULMONARES, ÁLGEBRAS DE BOOLE, APOPTOSE

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      GUPTA, Shantanu et al. A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer. Non-coding RNA Research, v. 9, n. 1, p. 185-193, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ncrna.2023.10.008. Acesso em: 03 nov. 2024.
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      Gupta, S., Silveira, D. A., Piedade, G. P. S., Ostrowski, M. P., Mombach, J. C. M., & Hashimoto, R. F. (2024). A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer. Non-coding RNA Research, 9( 1), 185-193. doi:10.1016/j.ncrna.2023.10.008
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      Gupta S, Silveira DA, Piedade GPS, Ostrowski MP, Mombach JCM, Hashimoto RF. A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer [Internet]. Non-coding RNA Research. 2024 ; 9( 1): 185-193.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.ncrna.2023.10.008
    • Vancouver

      Gupta S, Silveira DA, Piedade GPS, Ostrowski MP, Mombach JCM, Hashimoto RF. A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer [Internet]. Non-coding RNA Research. 2024 ; 9( 1): 185-193.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.ncrna.2023.10.008
  • Source: Cells. Unidade: IME

    Subjects: DNA, ANÁLISE DE SÉRIES TEMPORAIS, ÁLGEBRAS DE BOOLE

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      GUPTA, Shantanu et al. Quadra-stable dynamics of p53 and PTEN in the DNA damage response. Cells, v. 12, n. artigo 1085, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.3390/cells12071085. Acesso em: 03 nov. 2024.
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      Gupta, S., Panda, P. K., Silveira, D. A., Ahuja, R., & Hashimoto, R. F. (2023). Quadra-stable dynamics of p53 and PTEN in the DNA damage response. Cells, 12( artigo 1085), 1-17. doi:10.3390/cells12071085
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      Gupta S, Panda PK, Silveira DA, Ahuja R, Hashimoto RF. Quadra-stable dynamics of p53 and PTEN in the DNA damage response [Internet]. Cells. 2023 ; 12( artigo 1085): 1-17.[citado 2024 nov. 03 ] Available from: https://doi.org/10.3390/cells12071085
    • Vancouver

      Gupta S, Panda PK, Silveira DA, Ahuja R, Hashimoto RF. Quadra-stable dynamics of p53 and PTEN in the DNA damage response [Internet]. Cells. 2023 ; 12( artigo 1085): 1-17.[citado 2024 nov. 03 ] Available from: https://doi.org/10.3390/cells12071085
  • Source: Computational Biology and Chemistry. Unidade: IME

    Subjects: ÁLGEBRAS DE BOOLE, COMPUTAÇÃO APLICADA, NEOPLASIAS PULMONARES

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      GUPTA, Shantanu e SILVEIRA, Daner Acunha e HASHIMOTO, Ronaldo Fumio. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma. Computational Biology and Chemistry, v. 106, p. 1-6, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.compbiolchem.2023.107926. Acesso em: 03 nov. 2024.
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      Gupta, S., Silveira, D. A., & Hashimoto, R. F. (2023). A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma. Computational Biology and Chemistry, 106, 1-6. doi:10.1016/j.compbiolchem.2023.107926
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      Gupta S, Silveira DA, Hashimoto RF. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma [Internet]. Computational Biology and Chemistry. 2023 ; 106 1-6.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.compbiolchem.2023.107926
    • Vancouver

      Gupta S, Silveira DA, Hashimoto RF. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma [Internet]. Computational Biology and Chemistry. 2023 ; 106 1-6.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.compbiolchem.2023.107926
  • Source: Non-coding RNA Research. Unidade: IME

    Subjects: APOPTOSE, ÁLGEBRAS DE BOOLE, COMPUTAÇÃO APLICADA, NEOPLASIAS PULMONARES

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      GUPTA, Shantanu et al. The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: a Boolean model of cell death. Non-coding RNA Research, v. 8, n. 4, p. 605-614, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ncrna.2023.08.003. Acesso em: 03 nov. 2024.
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      Gupta, S., Silveira, D. A., Mombach, J. C. M., & Hashimoto, R. F. (2023). The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: a Boolean model of cell death. Non-coding RNA Research, 8( 4), 605-614. doi:10.1016/j.ncrna.2023.08.003
    • NLM

      Gupta S, Silveira DA, Mombach JCM, Hashimoto RF. The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: a Boolean model of cell death [Internet]. Non-coding RNA Research. 2023 ; 8( 4): 605-614.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.ncrna.2023.08.003
    • Vancouver

      Gupta S, Silveira DA, Mombach JCM, Hashimoto RF. The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: a Boolean model of cell death [Internet]. Non-coding RNA Research. 2023 ; 8( 4): 605-614.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.ncrna.2023.08.003
  • Source: Ambient intelligence in health care : proceedings. Conference titles: International Conference on Ambient Intelligence in Health Care - ICAIHC. Unidade: IME

    Subjects: REDES COMPLEXAS, ENTROPIA, COVID-19, ANÁLISE SEQUENCIAL, BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES

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      PIMENTA-ZANON, Matheus H. et al. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2. 2023, Anais.. Heidelberg: Springer, 2023. Disponível em: https://doi.org/10.1007/978-981-19-6068-0_44. Acesso em: 03 nov. 2024.
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      Pimenta-Zanon, M. H., de Souza, V. A., Hashimoto, R. F., & Lopes, F. M. (2023). Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2. In Ambient intelligence in health care : proceedings. Heidelberg: Springer. doi:10.1007/978-981-19-6068-0_44
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      Pimenta-Zanon MH, de Souza VA, Hashimoto RF, Lopes FM. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2 [Internet]. Ambient intelligence in health care : proceedings. 2023 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-981-19-6068-0_44
    • Vancouver

      Pimenta-Zanon MH, de Souza VA, Hashimoto RF, Lopes FM. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2 [Internet]. Ambient intelligence in health care : proceedings. 2023 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-981-19-6068-0_44
  • Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, IQ, BIOINFORMÁTICA

    Subjects: PROBLEMAS INVERSOS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL

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      SOUSA, Ronaldo Nogueira de et al. Exploring identifiability in hybrid models of cell signaling pathways. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-42715-2_14. Acesso em: 03 nov. 2024.
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      Sousa, R. N. de, Campos, C. G. S., Wang, W., Hashimoto, R. F., Armelin, H. A., & Reis, M. S. (2023). Exploring identifiability in hybrid models of cell signaling pathways. In . Cham: Springer. doi:10.1007/978-3-031-42715-2_14
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      Sousa RN de, Campos CGS, Wang W, Hashimoto RF, Armelin HA, Reis MS. Exploring identifiability in hybrid models of cell signaling pathways [Internet]. 2023 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_14
    • Vancouver

      Sousa RN de, Campos CGS, Wang W, Hashimoto RF, Armelin HA, Reis MS. Exploring identifiability in hybrid models of cell signaling pathways [Internet]. 2023 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_14
  • Unidade: BIOINFORMÁTICA

    Subjects: MALÁRIA, PLASMODIUM FALCIPARUM, ENZIMAS, EXPRESSÃO GÊNICA

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      CANO, Lyang Higa. Decoding ubiquitination in the fight against malaria: a network-based exploration of E1-E2-E3 enzyme triples in Plasmodium falciparum. 2023. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/95/95131/tde-09012024-171914/. Acesso em: 03 nov. 2024.
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      Cano, L. H. (2023). Decoding ubiquitination in the fight against malaria: a network-based exploration of E1-E2-E3 enzyme triples in Plasmodium falciparum (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/95/95131/tde-09012024-171914/
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      Cano LH. Decoding ubiquitination in the fight against malaria: a network-based exploration of E1-E2-E3 enzyme triples in Plasmodium falciparum [Internet]. 2023 ;[citado 2024 nov. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/95/95131/tde-09012024-171914/
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      Cano LH. Decoding ubiquitination in the fight against malaria: a network-based exploration of E1-E2-E3 enzyme triples in Plasmodium falciparum [Internet]. 2023 ;[citado 2024 nov. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/95/95131/tde-09012024-171914/
  • Source: Biomolecules. Unidade: IME

    Subjects: FUNÇÕES BOOLEANAS, RNA

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      GUPTA, Shantanu e HASHIMOTO, Ronaldo Fumio. Dynamical analysis of a Boolean network model of the oncogene role of lncRNA ANRIL and lncRNA UFC1 in non-dmall vell lung cancer. Biomolecules, v. 12, n. artigo 420, p. 1-19, 2022Tradução . . Disponível em: https://doi.org/10.3390/biom12030420. Acesso em: 03 nov. 2024.
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      Gupta, S., & Hashimoto, R. F. (2022). Dynamical analysis of a Boolean network model of the oncogene role of lncRNA ANRIL and lncRNA UFC1 in non-dmall vell lung cancer. Biomolecules, 12( artigo 420), 1-19. doi:10.3390/biom12030420
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      Gupta S, Hashimoto RF. Dynamical analysis of a Boolean network model of the oncogene role of lncRNA ANRIL and lncRNA UFC1 in non-dmall vell lung cancer [Internet]. Biomolecules. 2022 ; 12( artigo 420): 1-19.[citado 2024 nov. 03 ] Available from: https://doi.org/10.3390/biom12030420
    • Vancouver

      Gupta S, Hashimoto RF. Dynamical analysis of a Boolean network model of the oncogene role of lncRNA ANRIL and lncRNA UFC1 in non-dmall vell lung cancer [Internet]. Biomolecules. 2022 ; 12( artigo 420): 1-19.[citado 2024 nov. 03 ] Available from: https://doi.org/10.3390/biom12030420
  • Source: Scientific Reports. Unidades: IME, BIOINFORMÁTICA

    Subjects: GEOMETRIA E MODELAGEM COMPUTACIONAL, BIOINFORMÁTICA

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      KAWASHIMA, IrinaYuri et al. SARS‑CoV‑2 host prediction based on virus‑host genetic features. Scientific Reports, v. 12, n. artigo 4576, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-08350-6. Acesso em: 03 nov. 2024.
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      Kawashima, I. Y., Lopez, M. C. N., Cunha, M. dos P., & Hashimoto, R. F. (2022). SARS‑CoV‑2 host prediction based on virus‑host genetic features. Scientific Reports, 12( artigo 4576), 1-9. doi:10.1038/s41598-022-08350-6
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      Kawashima IY, Lopez MCN, Cunha M dos P, Hashimoto RF. SARS‑CoV‑2 host prediction based on virus‑host genetic features [Internet]. Scientific Reports. 2022 ; 12( artigo 4576): 1-9.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1038/s41598-022-08350-6
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      Kawashima IY, Lopez MCN, Cunha M dos P, Hashimoto RF. SARS‑CoV‑2 host prediction based on virus‑host genetic features [Internet]. Scientific Reports. 2022 ; 12( artigo 4576): 1-9.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1038/s41598-022-08350-6
  • Source: Biology. Unidade: IME

    Subjects: GEOMETRIA E MODELAGEM COMPUTACIONAL, BIOINFORMÁTICA

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      GUPTA, Shantanu et al. A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells. Biology, v. 11, n. artigo 480, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.3390/biology11040480. Acesso em: 03 nov. 2024.
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      Gupta, S., Silveira, D. A., Hashimoto, R. F., & Mombach, J. C. M. (2022). A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells. Biology, 11( artigo 480), 1-14. doi:10.3390/biology11040480
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      Gupta S, Silveira DA, Hashimoto RF, Mombach JCM. A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells [Internet]. Biology. 2022 ; 11( artigo 480): 1-14.[citado 2024 nov. 03 ] Available from: https://doi.org/10.3390/biology11040480
    • Vancouver

      Gupta S, Silveira DA, Hashimoto RF, Mombach JCM. A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells [Internet]. Biology. 2022 ; 11( artigo 480): 1-14.[citado 2024 nov. 03 ] Available from: https://doi.org/10.3390/biology11040480
  • Source: São Paulo Journal of Mathematical Sciences. Unidade: IME

    Subjects: METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO, PROCESSAMENTO DE IMAGENS

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      BARRERA, Junior et al. From mathematical morphology to machine learning of image operators. São Paulo Journal of Mathematical Sciences, 2022Tradução . . Disponível em: https://doi.org/10.1007/s40863-022-00303-1. Acesso em: 03 nov. 2024.
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      Barrera, J., Hashimoto, R. F., Hirata, N. S. T., Hirata Júnior, R., & Reis, M. S. (2022). From mathematical morphology to machine learning of image operators. São Paulo Journal of Mathematical Sciences. doi:10.1007/s40863-022-00303-1
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      Barrera J, Hashimoto RF, Hirata NST, Hirata Júnior R, Reis MS. From mathematical morphology to machine learning of image operators [Internet]. São Paulo Journal of Mathematical Sciences. 2022 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/s40863-022-00303-1
    • Vancouver

      Barrera J, Hashimoto RF, Hirata NST, Hirata Júnior R, Reis MS. From mathematical morphology to machine learning of image operators [Internet]. São Paulo Journal of Mathematical Sciences. 2022 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/s40863-022-00303-1
  • Source: Pattern Recognition Letters. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      GOBBER, Charles F e HASHIMOTO, Ronaldo Fumio e ALVES, Wonder Alexandre Luz. An efficient algorithm to update non-flat and incremental attributes in morphological trees. Pattern Recognition Letters, v. 163, p. 47-54, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2022.09.005. Acesso em: 03 nov. 2024.
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      Gobber, C. F., Hashimoto, R. F., & Alves, W. A. L. (2022). An efficient algorithm to update non-flat and incremental attributes in morphological trees. Pattern Recognition Letters, 163, 47-54. doi:10.1016/j.patrec.2022.09.005
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      Gobber CF, Hashimoto RF, Alves WAL. An efficient algorithm to update non-flat and incremental attributes in morphological trees [Internet]. Pattern Recognition Letters. 2022 ; 163 47-54.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.patrec.2022.09.005
    • Vancouver

      Gobber CF, Hashimoto RF, Alves WAL. An efficient algorithm to update non-flat and incremental attributes in morphological trees [Internet]. Pattern Recognition Letters. 2022 ; 163 47-54.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.patrec.2022.09.005
  • Source: Scientific Reports. Unidade: IME

    Subjects: FUNÇÕES BOOLEANAS, DNA, RNA

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      GUPTA, Shantanu et al. Network analysis reveals that the tumor suppressor lncRNA GAS5 acts as a double-edged sword in response to DNA damage in gastric cancer. Scientific Reports, v. 12, n. artigo 18312, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-21492-x. Acesso em: 03 nov. 2024.
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      Gupta, S., Panda, P. K., Luo, W., Hashimoto, R. F., & Ahuja, R. (2022). Network analysis reveals that the tumor suppressor lncRNA GAS5 acts as a double-edged sword in response to DNA damage in gastric cancer. Scientific Reports, 12( artigo 18312), 1-10. doi:10.1038/s41598-022-21492-x
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      Gupta S, Panda PK, Luo W, Hashimoto RF, Ahuja R. Network analysis reveals that the tumor suppressor lncRNA GAS5 acts as a double-edged sword in response to DNA damage in gastric cancer [Internet]. Scientific Reports. 2022 ; 12( artigo 18312): 1-10.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1038/s41598-022-21492-x
    • Vancouver

      Gupta S, Panda PK, Luo W, Hashimoto RF, Ahuja R. Network analysis reveals that the tumor suppressor lncRNA GAS5 acts as a double-edged sword in response to DNA damage in gastric cancer [Internet]. Scientific Reports. 2022 ; 12( artigo 18312): 1-10.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1038/s41598-022-21492-x
  • Source: Computers & Graphics. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      WANG, Jieying et al. Interactive image manipulation using morphological trees and spline-based skeletons. Computers & Graphics, v. 108, p. 61-73, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cag.2022.09.002. Acesso em: 03 nov. 2024.
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      Wang, J., Silva, D. J., Kosinka, J., Telea, A. C., Hashimoto, R. F., & Roerdink, J. B. T. M. (2022). Interactive image manipulation using morphological trees and spline-based skeletons. Computers & Graphics, 108, 61-73. doi:10.1016/j.cag.2022.09.002
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      Wang J, Silva DJ, Kosinka J, Telea AC, Hashimoto RF, Roerdink JBTM. Interactive image manipulation using morphological trees and spline-based skeletons [Internet]. Computers & Graphics. 2022 ; 108 61-73.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.cag.2022.09.002
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      Wang J, Silva DJ, Kosinka J, Telea AC, Hashimoto RF, Roerdink JBTM. Interactive image manipulation using morphological trees and spline-based skeletons [Internet]. Computers & Graphics. 2022 ; 108 61-73.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.cag.2022.09.002
  • Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS

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      MORIMITSU, Alexandre. Algorithms and data structure for component-hypertrees of gray-level images. 2021. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-23032021-200926/. Acesso em: 03 nov. 2024.
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      Morimitsu, A. (2021). Algorithms and data structure for component-hypertrees of gray-level images (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/45/45134/tde-23032021-200926/
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      Morimitsu A. Algorithms and data structure for component-hypertrees of gray-level images [Internet]. 2021 ;[citado 2024 nov. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-23032021-200926/
    • Vancouver

      Morimitsu A. Algorithms and data structure for component-hypertrees of gray-level images [Internet]. 2021 ;[citado 2024 nov. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-23032021-200926/
  • Source: Entropy. Unidade: IME

    Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES

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      MEDINA-RODRÍGUEZ, Rosario e BELTRÁN CASTAÑÓN, César e HASHIMOTO, Ronaldo Fumio. An approach to growth delimitation of straight line segment classifiers based on a minimum bounding box. Entropy, v. 23, n. 11, 2021Tradução . . Disponível em: https://doi.org/10.3390/e23111541. Acesso em: 03 nov. 2024.
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      Medina-Rodríguez, R., Beltrán Castañón, C., & Hashimoto, R. F. (2021). An approach to growth delimitation of straight line segment classifiers based on a minimum bounding box. Entropy, 23( 11). doi:10.3390/e23111541
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      Medina-Rodríguez R, Beltrán Castañón C, Hashimoto RF. An approach to growth delimitation of straight line segment classifiers based on a minimum bounding box [Internet]. Entropy. 2021 ; 23( 11):[citado 2024 nov. 03 ] Available from: https://doi.org/10.3390/e23111541
    • Vancouver

      Medina-Rodríguez R, Beltrán Castañón C, Hashimoto RF. An approach to growth delimitation of straight line segment classifiers based on a minimum bounding box [Internet]. Entropy. 2021 ; 23( 11):[citado 2024 nov. 03 ] Available from: https://doi.org/10.3390/e23111541
  • Source: Pattern Recognition Letters. Unidade: IME

    Subjects: INTERPOLAÇÃO, APROXIMAÇÃO POR POLINÔMIOS

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    • ABNT

      ALVES, Wonder Alexandre Luz et al. Image segmentation based on ultimate levelings: from attribute filters to machine learning strategies. Pattern Recognition Letters, v. 133, p. 264-271, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2020.03.013. Acesso em: 03 nov. 2024.
    • APA

      Alves, W. A. L., Gobber, C. F., Silva, D. J. da, Morimitsu, A., Hashimoto, R. F., & Marcotegui, B. (2020). Image segmentation based on ultimate levelings: from attribute filters to machine learning strategies. Pattern Recognition Letters, 133, 264-271. doi:10.1016/j.patrec.2020.03.013
    • NLM

      Alves WAL, Gobber CF, Silva DJ da, Morimitsu A, Hashimoto RF, Marcotegui B. Image segmentation based on ultimate levelings: from attribute filters to machine learning strategies [Internet]. Pattern Recognition Letters. 2020 ; 133 264-271.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.patrec.2020.03.013
    • Vancouver

      Alves WAL, Gobber CF, Silva DJ da, Morimitsu A, Hashimoto RF, Marcotegui B. Image segmentation based on ultimate levelings: from attribute filters to machine learning strategies [Internet]. Pattern Recognition Letters. 2020 ; 133 264-271.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.patrec.2020.03.013
  • Source: Pattern Recognition Letters. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS

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    • ABNT

      MORIMITSU, Alexandre et al. Efficient component-hypertree construction based on hierarchy of partitions. Pattern Recognition Letters, v. 135, p. 30-37, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2020.02.032. Acesso em: 03 nov. 2024.
    • APA

      Morimitsu, A., Passat, N., Alves, W. A. L., & Hashimoto, R. F. (2020). Efficient component-hypertree construction based on hierarchy of partitions. Pattern Recognition Letters, 135, 30-37. doi:10.1016/j.patrec.2020.02.032
    • NLM

      Morimitsu A, Passat N, Alves WAL, Hashimoto RF. Efficient component-hypertree construction based on hierarchy of partitions [Internet]. Pattern Recognition Letters. 2020 ; 135 30-37.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.patrec.2020.02.032
    • Vancouver

      Morimitsu A, Passat N, Alves WAL, Hashimoto RF. Efficient component-hypertree construction based on hierarchy of partitions [Internet]. Pattern Recognition Letters. 2020 ; 135 30-37.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.patrec.2020.02.032
  • Source: Pattern Recognition Letters. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      SILVA, Dênnis José da e ALVES, Wonder Alexandre Luz e HASHIMOTO, Ronaldo Fumio. Incremental bit-quads count in component trees: theory, algorithms, and optimization. Pattern Recognition Letters, v. 129, p. 33-40, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2019.10.036. Acesso em: 03 nov. 2024.
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      Silva, D. J. da, Alves, W. A. L., & Hashimoto, R. F. (2020). Incremental bit-quads count in component trees: theory, algorithms, and optimization. Pattern Recognition Letters, 129, 33-40. doi:10.1016/j.patrec.2019.10.036
    • NLM

      Silva DJ da, Alves WAL, Hashimoto RF. Incremental bit-quads count in component trees: theory, algorithms, and optimization [Internet]. Pattern Recognition Letters. 2020 ; 129 33-40.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.patrec.2019.10.036
    • Vancouver

      Silva DJ da, Alves WAL, Hashimoto RF. Incremental bit-quads count in component trees: theory, algorithms, and optimization [Internet]. Pattern Recognition Letters. 2020 ; 129 33-40.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1016/j.patrec.2019.10.036

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