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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
SemanticSCo: a platform to support the semantic composition of services for gene expression analysis (2017)
Guardia, Gabriela D. A.; Pires, Luís Ferreira; Silva, Eduardo G. da; Farias, Cléver Ricardo Guareis de
Source: Journal of Biomedical Informatics. Unidade: FFCLRP
Subjects: EXPRESSÃO GÊNICA, WEB SEMÂNTICA
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ABNT
GUARDIA, Gabriela D. A. et al. SemanticSCo: a platform to support the semantic composition of services for gene expression analysis. Journal of Biomedical Informatics, v. 66, p. 116-118, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.jbi.2016.12.014. Acesso em: 07 out. 2025.
APA
Guardia, G. D. A., Pires, L. F., Silva, E. G. da, & Farias, C. R. G. de. (2017). SemanticSCo: a platform to support the semantic composition of services for gene expression analysis. Journal of Biomedical Informatics, 66, 116-118. doi:10.1016/j.jbi.2016.12.014
NLM
Guardia GDA, Pires LF, Silva EG da, Farias CRG de. SemanticSCo: a platform to support the semantic composition of services for gene expression analysis [Internet]. Journal of Biomedical Informatics. 2017 ; 66 116-118.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2016.12.014
Vancouver
Guardia GDA, Pires LF, Silva EG da, Farias CRG de. SemanticSCo: a platform to support the semantic composition of services for gene expression analysis [Internet]. Journal of Biomedical Informatics. 2017 ; 66 116-118.[citado 2025 out. 07 ] Available from: https://doi.org/10.1016/j.jbi.2016.12.014
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

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