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Trabalho de evento
Multilevel clustering explainer: an explainable approach to electronic health records (2021)
Clementino Jr, José Maria ; Faiçal, Bruno Squizato ; Bones, Christian Cesar ; Traina Junior, Caetano ; Gutierrez, Marco Antonio ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, DESCOBERTA DE CONHECIMENTO, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CLEMENTINO JR, José Maria et al. Multilevel clustering explainer: an explainable approach to electronic health records. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/CBMS52027.2021.00073. Acesso em: 17 nov. 2024.
APA
Clementino Jr, J. M., Faiçal, B. S., Bones, C. C., Traina Junior, C., Gutierrez, M. A., & Traina, A. J. M. (2021). Multilevel clustering explainer: an explainable approach to electronic health records. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS52027.2021.00073
NLM
Clementino Jr JM, Faiçal BS, Bones CC, Traina Junior C, Gutierrez MA, Traina AJM. Multilevel clustering explainer: an explainable approach to electronic health records [Internet]. Proceedings. 2021 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00073
Vancouver
Clementino Jr JM, Faiçal BS, Bones CC, Traina Junior C, Gutierrez MA, Traina AJM. Multilevel clustering explainer: an explainable approach to electronic health records [Internet]. Proceedings. 2021 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00073
Trabalho de evento
Bag-of-attributes representation: a vector space model for electronic health records analysis in OMOP (2020)
Clementino Jr, José Maria ; Bones, Christian Cesar ; Faiçal, Bruno Squizato ; Linares, Oscar Alonso Cuadros ; Lima, Daniel Mário de ; Gutierrez, Marco A; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: BANCO DE DADOS, SISTEMAS DE INFORMAÇÃO HOSPITALAR, DESCOBERTA DE CONHECIMENTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CLEMENTINO JR, José Maria et al. Bag-of-attributes representation: a vector space model for electronic health records analysis in OMOP. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/CBMS49503.2020.00045. Acesso em: 17 nov. 2024.
APA
Clementino Jr, J. M., Bones, C. C., Faiçal, B. S., Linares, O. A. C., Lima, D. M. de, Gutierrez, M. A., et al. (2020). Bag-of-attributes representation: a vector space model for electronic health records analysis in OMOP. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS49503.2020.00045
NLM
Clementino Jr JM, Bones CC, Faiçal BS, Linares OAC, Lima DM de, Gutierrez MA, Traina Junior C, Traina AJM. Bag-of-attributes representation: a vector space model for electronic health records analysis in OMOP [Internet]. Proceedings. 2020 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00045
Vancouver
Clementino Jr JM, Bones CC, Faiçal BS, Linares OAC, Lima DM de, Gutierrez MA, Traina Junior C, Traina AJM. Bag-of-attributes representation: a vector space model for electronic health records analysis in OMOP [Internet]. Proceedings. 2020 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00045
Trabalho de evento
Efficient segmentation of cell nuclei in histopathological images (2020)
Linares, Oscar Alonso Cuadros ; Soriano-Vargas, Aurea ; Faiçal, Bruno Squizato ; Hamann, Bernd ; Fabro, Alexandre Todorovic ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidades: FMRP, ICMC
Subjects: BANCO DE DADOS MULTIMÍDIA, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, HISTOLOGIA HUMANA, NÚCLEO CELULAR, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINARES, Oscar Alonso Cuadros et al. Efficient segmentation of cell nuclei in histopathological images. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/CBMS49503.2020.00017. Acesso em: 17 nov. 2024.
APA
Linares, O. A. C., Soriano-Vargas, A., Faiçal, B. S., Hamann, B., Fabro, A. T., & Traina, A. J. M. (2020). Efficient segmentation of cell nuclei in histopathological images. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS49503.2020.00017
NLM
Linares OAC, Soriano-Vargas A, Faiçal BS, Hamann B, Fabro AT, Traina AJM. Efficient segmentation of cell nuclei in histopathological images [Internet]. Proceedings. 2020 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00017
Vancouver
Linares OAC, Soriano-Vargas A, Faiçal BS, Hamann B, Fabro AT, Traina AJM. Efficient segmentation of cell nuclei in histopathological images [Internet]. Proceedings. 2020 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00017
Artigo de periodico
A survey of blockchain-based strategies for healthcare (2020)
Aguiar, Erikson Júlio de ; Faiçal, Bruno Squizato ; Krishnamachari, Bhaskar ; Ueyama, Jó
Source: ACM Computing Surveys. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, REVISÃO SISTEMÁTICA, ROBUSTEZ, REGISTROS MÉDICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AGUIAR, Erikson Júlio de et al. A survey of blockchain-based strategies for healthcare. ACM Computing Surveys, v. 53, n. 2, p. 1-27, 2020Tradução . . Disponível em: https://doi.org/10.1145/3376915. Acesso em: 17 nov. 2024.
APA
Aguiar, E. J. de, Faiçal, B. S., Krishnamachari, B., & Ueyama, J. (2020). A survey of blockchain-based strategies for healthcare. ACM Computing Surveys, 53( 2), 1-27. doi:10.1145/3376915
NLM
Aguiar EJ de, Faiçal BS, Krishnamachari B, Ueyama J. A survey of blockchain-based strategies for healthcare [Internet]. ACM Computing Surveys. 2020 ; 53( 2): 1-27.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1145/3376915
Vancouver
Aguiar EJ de, Faiçal BS, Krishnamachari B, Ueyama J. A survey of blockchain-based strategies for healthcare [Internet]. ACM Computing Surveys. 2020 ; 53( 2): 1-27.[citado 2024 nov. 17 ] Available from: https://doi.org/10.1145/3376915
Trabalho de evento
How to automatically identify regions of interest in high-resolution images of lung biopsy for interstitial fibrosis diagnosis (2019)
Linares, Oscar Alonso Cuadros ; Faiçal, Bruno Squizato ; Barbosa, Paulo Renato Campos; Hamann, Bernd; Fabro, Alexandre Todorovic ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidades: FMRP, ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, DOENÇAS PULMONARES INTERSTICIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINARES, Oscar Alonso Cuadros et al. How to automatically identify regions of interest in high-resolution images of lung biopsy for interstitial fibrosis diagnosis. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/CBMS.2019.00118. Acesso em: 17 nov. 2024.
APA
Linares, O. A. C., Faiçal, B. S., Barbosa, P. R. C., Hamann, B., Fabro, A. T., & Traina, A. J. M. (2019). How to automatically identify regions of interest in high-resolution images of lung biopsy for interstitial fibrosis diagnosis. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS.2019.00118
NLM
Linares OAC, Faiçal BS, Barbosa PRC, Hamann B, Fabro AT, Traina AJM. How to automatically identify regions of interest in high-resolution images of lung biopsy for interstitial fibrosis diagnosis [Internet]. Proceedings. 2019 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CBMS.2019.00118
Vancouver
Linares OAC, Faiçal BS, Barbosa PRC, Hamann B, Fabro AT, Traina AJM. How to automatically identify regions of interest in high-resolution images of lung biopsy for interstitial fibrosis diagnosis [Internet]. Proceedings. 2019 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CBMS.2019.00118
Trabalho de evento
3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging (2019)
Ramos, Jonathan da Silva; Cazzolato, Mirela Teixeira ; Faiçal, Bruno Squizato ; Nogueira-Barbosa, Marcello Henrique ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidades: FMRP, ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, RESSONÂNCIA MAGNÉTICA, COMPREENSÃO VERBAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Jonathan da Silva et al. 3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/CBMS.2019.00091. Acesso em: 17 nov. 2024.
APA
Ramos, J. da S., Cazzolato, M. T., Faiçal, B. S., Nogueira-Barbosa, M. H., Traina Junior, C., & Traina, A. J. M. (2019). 3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS.2019.00091
NLM
Ramos J da S, Cazzolato MT, Faiçal BS, Nogueira-Barbosa MH, Traina Junior C, Traina AJM. 3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging [Internet]. Proceedings. 2019 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CBMS.2019.00091
Vancouver
Ramos J da S, Cazzolato MT, Faiçal BS, Nogueira-Barbosa MH, Traina Junior C, Traina AJM. 3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging [Internet]. Proceedings. 2019 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CBMS.2019.00091
Trabalho de evento
UCORM: indexing uncorrelated metric spaces for concise content-based retrieval of medical images (2019)
Zabot, Guilherme Felipe ; Cazzolato, Mirela Teixeira ; Scabora, Lucas de Carvalho ; Faiçal, Bruno Squizato ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, BANCO DE DADOS MULTIMÍDIA, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZABOT, Guilherme Felipe et al. UCORM: indexing uncorrelated metric spaces for concise content-based retrieval of medical images. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/CBMS.2019.00070. Acesso em: 17 nov. 2024.
APA
Zabot, G. F., Cazzolato, M. T., Scabora, L. de C., Faiçal, B. S., Traina, A. J. M., & Traina Junior, C. (2019). UCORM: indexing uncorrelated metric spaces for concise content-based retrieval of medical images. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS.2019.00070
NLM
Zabot GF, Cazzolato MT, Scabora L de C, Faiçal BS, Traina AJM, Traina Junior C. UCORM: indexing uncorrelated metric spaces for concise content-based retrieval of medical images [Internet]. Proceedings. 2019 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CBMS.2019.00070
Vancouver
Zabot GF, Cazzolato MT, Scabora L de C, Faiçal BS, Traina AJM, Traina Junior C. UCORM: indexing uncorrelated metric spaces for concise content-based retrieval of medical images [Internet]. Proceedings. 2019 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/CBMS.2019.00070
Trabalho de evento
Fast and smart segmentation of paraspinal muscles in magnetic resonance imaging with CleverSeg (2019)
Ramos, Jonathan S; Cazzolato, Mirela Teixeira ; Faiçal, Bruno Squizato ; Linares, Oscar Alonso Cuadros ; Barbosa, Marcello Henrique Nogueira; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidades: FMRP, ICMC
Subjects: PROCESSAMENTO DE IMAGENS, IMAGEM POR RESSONÂNCIA MAGNÉTICA, DIAGNÓSTICO POR COMPUTADOR, COLUNA VERTEBRAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Jonathan S et al. Fast and smart segmentation of paraspinal muscles in magnetic resonance imaging with CleverSeg. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/SIBGRAPI.2019.00019. Acesso em: 17 nov. 2024.
APA
Ramos, J. S., Cazzolato, M. T., Faiçal, B. S., Linares, O. A. C., Barbosa, M. H. N., Traina Junior, C., & Traina, A. J. M. (2019). Fast and smart segmentation of paraspinal muscles in magnetic resonance imaging with CleverSeg. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI.2019.00019
NLM
Ramos JS, Cazzolato MT, Faiçal BS, Linares OAC, Barbosa MHN, Traina Junior C, Traina AJM. Fast and smart segmentation of paraspinal muscles in magnetic resonance imaging with CleverSeg [Internet]. Proceedings. 2019 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/SIBGRAPI.2019.00019
Vancouver
Ramos JS, Cazzolato MT, Faiçal BS, Linares OAC, Barbosa MHN, Traina Junior C, Traina AJM. Fast and smart segmentation of paraspinal muscles in magnetic resonance imaging with CleverSeg [Internet]. Proceedings. 2019 ;[citado 2024 nov. 17 ] Available from: https://doi.org/10.1109/SIBGRAPI.2019.00019

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