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Artigo de periodico
Left ventricle segmentation combining deep learning and deformable models with anatomical constraints (2023)
Ribeiro, Matheus Alberto de Oliveira ; Marques, Fátima de Lourdes dos Santos Nunes
Source: Journal of Biomedical Informatics. Unidade: EACH
Assunto: RESSONâNCIA
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ABNT
RIBEIRO, Matheus Alberto de Oliveira e MARQUES, Fátima de Lourdes dos Santos Nunes. Left ventricle segmentation combining deep learning and deformable models with anatomical constraints. Journal of Biomedical Informatics, v. 142, p. 01-15, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jbi.2023.104366. Acesso em: 07 out. 2025.
APA
Ribeiro, M. A. de O., & Marques, F. de L. dos S. N. (2023). Left ventricle segmentation combining deep learning and deformable models with anatomical constraints. Journal of Biomedical Informatics, 142, 01-15. doi:10.1016/j.jbi.2023.104366
NLM
Ribeiro MA de O, Marques F de L dos SN. Left ventricle segmentation combining deep learning and deformable models with anatomical constraints [Internet]. Journal of Biomedical Informatics. 2023 ; 142 01-15.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2023.104366
Vancouver
Ribeiro MA de O, Marques F de L dos SN. Left ventricle segmentation combining deep learning and deformable models with anatomical constraints [Internet]. Journal of Biomedical Informatics. 2023 ; 142 01-15.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2023.104366
Artigo de periodico
Prediction of mortality in Intensive Care Units: a multivariate feature selection (2020)
Monteiro, Flávio; Meloni, Fernando ; Baranauskas, José Augusto ; Macedo, Alessandra Alaniz
Source: Journal of Biomedical Informatics. Unidade: FFCLRP
Subjects: CUIDADOS INTENSIVOS, UNIDADES DE TERAPIA INTENSIVA, PREDIÇÃO, MORTALIDADE, ANÁLISE DE DADOS, APRENDIZADO COMPUTACIONAL
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ABNT
MONTEIRO, Flávio et al. Prediction of mortality in Intensive Care Units: a multivariate feature selection. Journal of Biomedical Informatics, v. 107, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.jbi.2020.103456. Acesso em: 07 out. 2025.
APA
Monteiro, F., Meloni, F., Baranauskas, J. A., & Macedo, A. A. (2020). Prediction of mortality in Intensive Care Units: a multivariate feature selection. Journal of Biomedical Informatics, 107. doi:10.1016/j.jbi.2020.103456
NLM
Monteiro F, Meloni F, Baranauskas JA, Macedo AA. Prediction of mortality in Intensive Care Units: a multivariate feature selection [Internet]. Journal of Biomedical Informatics. 2020 ; 107[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2020.103456
Vancouver
Monteiro F, Meloni F, Baranauskas JA, Macedo AA. Prediction of mortality in Intensive Care Units: a multivariate feature selection [Internet]. Journal of Biomedical Informatics. 2020 ; 107[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2020.103456
Artigo de periodico
OBO to UML: support for the development of conceptual models in the biomedical domain (2018)
Waldemarin, Ricardo C.; Farias, Cléver Ricardo Guareis de
Source: Journal of Biomedical Informatics. Unidade: FFCLRP
Subjects: ONTOLOGIAS, INFORMÁTICA MÉDICA
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ABNT
WALDEMARIN, Ricardo C. e FARIAS, Cléver Ricardo Guareis de. OBO to UML: support for the development of conceptual models in the biomedical domain. Journal of Biomedical Informatics, v. 80, p. 14-25, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.jbi.2018.02.015. Acesso em: 07 out. 2025.
APA
Waldemarin, R. C., & Farias, C. R. G. de. (2018). OBO to UML: support for the development of conceptual models in the biomedical domain. Journal of Biomedical Informatics, 80, 14-25. doi:10.1016/j.jbi.2018.02.015
NLM
Waldemarin RC, Farias CRG de. OBO to UML: support for the development of conceptual models in the biomedical domain [Internet]. Journal of Biomedical Informatics. 2018 ; 80 14-25.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2018.02.015
Vancouver
Waldemarin RC, Farias CRG de. OBO to UML: support for the development of conceptual models in the biomedical domain [Internet]. Journal of Biomedical Informatics. 2018 ; 80 14-25.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2018.02.015
Artigo de periodico
Comparing efficient data structures to represent geometric models for three-dimensional virtual medical training (2016)
Biscaro, Helton Hideraldo; Marques, Fátima de Lourdes dos Santos Nunes; Oliveira, Jéssica dos Santos; Pereira, Gustavo R.
Source: Journal of Biomedical Informatics. Unidade: EACH
Subjects: ESTRUTURAS DE DADOS, REALIDADE VIRTUAL
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ABNT
BISCARO, Helton Hideraldo et al. Comparing efficient data structures to represent geometric models for three-dimensional virtual medical training. Journal of Biomedical Informatics, v. 63, p. 195-211, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.jbi.2016.08.014. Acesso em: 07 out. 2025.
APA
Biscaro, H. H., Marques, F. de L. dos S. N., Oliveira, J. dos S., & Pereira, G. R. (2016). Comparing efficient data structures to represent geometric models for three-dimensional virtual medical training. Journal of Biomedical Informatics, 63, 195-211. doi:10.1016/j.jbi.2016.08.014
NLM
Biscaro HH, Marques F de L dos SN, Oliveira J dos S, Pereira GR. Comparing efficient data structures to represent geometric models for three-dimensional virtual medical training [Internet]. Journal of Biomedical Informatics. 2016 ; 63 195-211.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2016.08.014
Vancouver
Biscaro HH, Marques F de L dos SN, Oliveira J dos S, Pereira GR. Comparing efficient data structures to represent geometric models for three-dimensional virtual medical training [Internet]. Journal of Biomedical Informatics. 2016 ; 63 195-211.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2016.08.014
Artigo de periodico
a Health Surveillance Software Framework to deliver information on preventive healthcare strategies (2016)
Macedo, Alessandra Alaniz; Pollettini, Juliana Tarossi; Baranauskas, José Augusto; Chaves, Julia Carmona Almeida
Source: Journal of Biomedical Informatics. Unidade: FFCLRP
Subjects: TECNOLOGIAS DA SAÚDE, ONTOLOGIA, SISTEMAS COMPUTADORIZADOS DE REGISTROS MÉDICOS, INFORMAÇÃO, SOFTWARES, CIÊNCIA DA COMPUTAÇÃO, RECUPERAÇÃO DA INFORMAÇÃO
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ABNT
MACEDO, Alessandra Alaniz et al. a Health Surveillance Software Framework to deliver information on preventive healthcare strategies. Journal of Biomedical Informatics, v. 62, p. 159-170, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.jbi.2016.06.002. Acesso em: 07 out. 2025.
APA
Macedo, A. A., Pollettini, J. T., Baranauskas, J. A., & Chaves, J. C. A. (2016). a Health Surveillance Software Framework to deliver information on preventive healthcare strategies. Journal of Biomedical Informatics, 62, 159-170. doi:10.1016/j.jbi.2016.06.002
NLM
Macedo AA, Pollettini JT, Baranauskas JA, Chaves JCA. a Health Surveillance Software Framework to deliver information on preventive healthcare strategies [Internet]. Journal of Biomedical Informatics. 2016 ; 62 159-170.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2016.06.002
Vancouver
Macedo AA, Pollettini JT, Baranauskas JA, Chaves JCA. a Health Surveillance Software Framework to deliver information on preventive healthcare strategies [Internet]. Journal of Biomedical Informatics. 2016 ; 62 159-170.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2016.06.002
Artigo de periodico
A multi-label approach using binary relevance and decision trees applied to functional genomics (2015)
Tanaka, Erica Akemi; Nozawa, Sérgio Ricardo; Macedo, Alessandra Alaniz; Baranauskas, José Augusto
Source: Journal of Biomedical Informatics. Unidade: FFCLRP
Subjects: BIOINFORMÁTICA, GENÔMICA, ALGORITMOS
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ABNT
TANAKA, Erica Akemi et al. A multi-label approach using binary relevance and decision trees applied to functional genomics. Journal of Biomedical Informatics, v. 54, p. 85–95, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.jbi.2014.12.011. Acesso em: 07 out. 2025.
APA
Tanaka, E. A., Nozawa, S. R., Macedo, A. A., & Baranauskas, J. A. (2015). A multi-label approach using binary relevance and decision trees applied to functional genomics. Journal of Biomedical Informatics, 54, 85–95. doi:10.1016/j.jbi.2014.12.011
NLM
Tanaka EA, Nozawa SR, Macedo AA, Baranauskas JA. A multi-label approach using binary relevance and decision trees applied to functional genomics [Internet]. Journal of Biomedical Informatics. 2015 ; 54 85–95.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2014.12.011
Vancouver
Tanaka EA, Nozawa SR, Macedo AA, Baranauskas JA. A multi-label approach using binary relevance and decision trees applied to functional genomics [Internet]. Journal of Biomedical Informatics. 2015 ; 54 85–95.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2014.12.011
Artigo de periodico
Use of Medical Subject Headings (MeSH) in Portuguese for categorizing web-based healthcare content (2011)
Mancini, Felipe; Sousa, Fernando Sequeira; Teixeira, Fábio Oliveira; Falcão, Alex Esteves Jaccoud; Hummel, Anderson Diniz; Costa, Thiago Martini da; Calado, Pável Pereira; Araújo, Luciano Vieira de; Pisa, Ivan Torres
Source: Journal of Biomedical Informatics. Unidade: EACH
Subjects: BIOINFORMÁTICA, RECUPERAÇÃO DA INFORMAÇÃO
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ABNT
MANCINI, Felipe et al. Use of Medical Subject Headings (MeSH) in Portuguese for categorizing web-based healthcare content. Journal of Biomedical Informatics, v. 44, n. 2, p. 299-309, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.jbi.2010.12.002. Acesso em: 07 out. 2025.
APA
Mancini, F., Sousa, F. S., Teixeira, F. O., Falcão, A. E. J., Hummel, A. D., Costa, T. M. da, et al. (2011). Use of Medical Subject Headings (MeSH) in Portuguese for categorizing web-based healthcare content. Journal of Biomedical Informatics, 44( 2), 299-309. doi:10.1016/j.jbi.2010.12.002
NLM
Mancini F, Sousa FS, Teixeira FO, Falcão AEJ, Hummel AD, Costa TM da, Calado PP, Araújo LV de, Pisa IT. Use of Medical Subject Headings (MeSH) in Portuguese for categorizing web-based healthcare content [Internet]. Journal of Biomedical Informatics. 2011 ; 44( 2): 299-309.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2010.12.002
Vancouver
Mancini F, Sousa FS, Teixeira FO, Falcão AEJ, Hummel AD, Costa TM da, Calado PP, Araújo LV de, Pisa IT. Use of Medical Subject Headings (MeSH) in Portuguese for categorizing web-based healthcare content [Internet]. Journal of Biomedical Informatics. 2011 ; 44( 2): 299-309.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2010.12.002

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