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Trabalho de evento
Exploratory data analysis in electronic health records graphs: intuitive features and visualization tools (2023)
Cazzolato, Mirela Teixeira ; Gutierrez, Marco Antonio ; Traina Junior, Caetano ; Faloutsos, Christos ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO, VISUALIZAÇÃO, REGISTROS HOSPITALARES
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ABNT
CAZZOLATO, Mirela Teixeira et al. Exploratory data analysis in electronic health records graphs: intuitive features and visualization tools. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/CBMS58004.2023.00202. Acesso em: 08 jul. 2024.
APA
Cazzolato, M. T., Gutierrez, M. A., Traina Junior, C., Faloutsos, C., & Traina, A. J. M. (2023). Exploratory data analysis in electronic health records graphs: intuitive features and visualization tools. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS58004.2023.00202
NLM
Cazzolato MT, Gutierrez MA, Traina Junior C, Faloutsos C, Traina AJM. Exploratory data analysis in electronic health records graphs: intuitive features and visualization tools [Internet]. Proceedings. 2023 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00202
Vancouver
Cazzolato MT, Gutierrez MA, Traina Junior C, Faloutsos C, Traina AJM. Exploratory data analysis in electronic health records graphs: intuitive features and visualization tools [Internet]. Proceedings. 2023 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00202
Trabalho de evento
Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings (2023)
Aguiar, Erikson Júlio de ; Costa, Márcus Vinícius Lobo ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR
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ABNT
AGUIAR, Erikson Júlio de et al. Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/CBMS58004.2023.00184. Acesso em: 08 jul. 2024.
APA
Aguiar, E. J. de, Costa, M. V. L., Traina Junior, C., & Traina, A. J. M. (2023). Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS58004.2023.00184
NLM
Aguiar EJ de, Costa MVL, Traina Junior C, Traina AJM. Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings [Internet]. Proceedings. 2023 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00184
Vancouver
Aguiar EJ de, Costa MVL, Traina Junior C, Traina AJM. Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings [Internet]. Proceedings. 2023 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00184
Trabalho de evento
Hemoglobin estimation from smartphone-based photoplethysmography with small data (2023)
Silva, Diego Furtado ; Medeiros Júnior, José Gilberto Barbosa de; Domingues, Lucas Vinícius ; Mazzu-Nascimento, Thiago
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, HEMOGLOBINAS, TECNOLOGIAS DA SAÚDE
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ABNT
SILVA, Diego Furtado et al. Hemoglobin estimation from smartphone-based photoplethysmography with small data. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/CBMS58004.2023.00195. Acesso em: 08 jul. 2024.
APA
Silva, D. F., Medeiros Júnior, J. G. B. de, Domingues, L. V., & Mazzu-Nascimento, T. (2023). Hemoglobin estimation from smartphone-based photoplethysmography with small data. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS58004.2023.00195
NLM
Silva DF, Medeiros Júnior JGB de, Domingues LV, Mazzu-Nascimento T. Hemoglobin estimation from smartphone-based photoplethysmography with small data [Internet]. Proceedings. 2023 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00195
Vancouver
Silva DF, Medeiros Júnior JGB de, Domingues LV, Mazzu-Nascimento T. Hemoglobin estimation from smartphone-based photoplethysmography with small data [Internet]. Proceedings. 2023 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00195
Trabalho de evento
A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model (2023)
Costa, Márcus Vinícius Lobo ; Aguiar, Erikson Júlio de ; Rodrigues, Lucas Santiago ; Ramos, Jonathan da Silva ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE, COVID-19
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ABNT
COSTA, Márcus Vinícius Lobo et al. A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/CBMS58004.2023.00272. Acesso em: 08 jul. 2024.
APA
Costa, M. V. L., Aguiar, E. J. de, Rodrigues, L. S., Ramos, J. da S., Traina Junior, C., & Traina, A. J. M. (2023). A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS58004.2023.00272
NLM
Costa MVL, Aguiar EJ de, Rodrigues LS, Ramos J da S, Traina Junior C, Traina AJM. A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model [Internet]. Proceedings. 2023 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00272
Vancouver
Costa MVL, Aguiar EJ de, Rodrigues LS, Ramos J da S, Traina Junior C, Traina AJM. A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model [Internet]. Proceedings. 2023 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS58004.2023.00272
Trabalho de evento
Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures (2022)
Bêdo, Marcos Vinícius Naves; Ramos, Jonathan da Silva ; Traina, Agma Juci Machado ; Traina Junior, Caetano ; Nogueira-Barbosa, Marcello Henrique ; Azevedo-Marques, Paulo Mazzoncini de
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidades: ICMC, FMRP
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, DIAGNÓSTICO POR IMAGEM, RESSONÂNCIA MAGNÉTICA, OSTEOGÊNESE IMPERFEITA, OSTEOPOROSE
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ABNT
BÊDO, Marcos Vinícius Naves et al. Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures. 2022, Anais.. Los Alamitos: IEEE, 2022. Disponível em: https://doi.org/10.1109/CBMS55023.2022.00020. Acesso em: 08 jul. 2024.
APA
Bêdo, M. V. N., Ramos, J. da S., Traina, A. J. M., Traina Junior, C., Nogueira-Barbosa, M. H., & Azevedo-Marques, P. M. de. (2022). Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS55023.2022.00020
NLM
Bêdo MVN, Ramos J da S, Traina AJM, Traina Junior C, Nogueira-Barbosa MH, Azevedo-Marques PM de. Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures [Internet]. Proceedings. 2022 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS55023.2022.00020
Vancouver
Bêdo MVN, Ramos J da S, Traina AJM, Traina Junior C, Nogueira-Barbosa MH, Azevedo-Marques PM de. Wia-Spine: a CBIR environment with embedded radiomic features to assess fragility fractures [Internet]. Proceedings. 2022 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS55023.2022.00020
Trabalho de evento
Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning (2022)
Ramos, Jonathan da Silva ; Aguiar, Erikson Júlio de ; Belizario, Ivar Vargas ; Costa, Márcus Vinícius Lobo ; Maciel, Jamilly Gomes; Cazzolato, Mirela Teixeira ; Traina Junior, Caetano ; Nogueira-Barbosa, Marcello Henrique ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidades: ICMC, FMRP
Subjects: APRENDIZADO COMPUTACIONAL, TECNOLOGIAS DA SAÚDE, RESSONÂNCIA MAGNÉTICA, DIAGNÓSTICO POR IMAGEM, OSTEOGÊNESE IMPERFEITA, COLUNA VERTEBRAL
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ABNT
RAMOS, Jonathan da Silva et al. Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning. 2022, Anais.. Los Alamitos: IEEE, 2022. Disponível em: https://doi.org/10.1109/CBMS55023.2022.00021. Acesso em: 08 jul. 2024.
APA
Ramos, J. da S., Aguiar, E. J. de, Belizario, I. V., Costa, M. V. L., Maciel, J. G., Cazzolato, M. T., et al. (2022). Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS55023.2022.00021
NLM
Ramos J da S, Aguiar EJ de, Belizario IV, Costa MVL, Maciel JG, Cazzolato MT, Traina Junior C, Nogueira-Barbosa MH, Traina AJM. Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning [Internet]. Proceedings. 2022 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS55023.2022.00021
Vancouver
Ramos J da S, Aguiar EJ de, Belizario IV, Costa MVL, Maciel JG, Cazzolato MT, Traina Junior C, Nogueira-Barbosa MH, Traina AJM. Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning [Internet]. Proceedings. 2022 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS55023.2022.00021
Trabalho de evento
A nonverbal recognition method to assist speech (2021)
Meloni, Fernando; Sicchieri, Bianca Bortolai; Mandrá, Patrícia Pupin ; Bulcão Neto, Renato de Freitas; Macedo, Alessandra Alaniz
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidades: FFCLRP, FMRP
Subjects: INFORMÁTICA MÉDICA, INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, FONOAUDIOLOGIA
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ABNT
MELONI, Fernando et al. A nonverbal recognition method to assist speech. 2021, Anais.. Piscataway: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2021. Disponível em: https://doi.org/10.1109/CBMS52027.2021.00111. Acesso em: 08 jul. 2024.
APA
Meloni, F., Sicchieri, B. B., Mandrá, P. P., Bulcão Neto, R. de F., & Macedo, A. A. (2021). A nonverbal recognition method to assist speech. In Proceedings. Piscataway: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1109/CBMS52027.2021.00111
NLM
Meloni F, Sicchieri BB, Mandrá PP, Bulcão Neto R de F, Macedo AA. A nonverbal recognition method to assist speech [Internet]. Proceedings. 2021 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00111
Vancouver
Meloni F, Sicchieri BB, Mandrá PP, Bulcão Neto R de F, Macedo AA. A nonverbal recognition method to assist speech [Internet]. Proceedings. 2021 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00111
Trabalho de evento
Supporting IoT-based applications to combat the Aedes aegypti mosquito: a case in Brazil (2021)
Silva, Henrique de Araújo; Adriano, Elias; Scatolini, Denise ; Braga, Rosana Teresinha Vaccare
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: MOSQUITOS, INTERNET DAS COISAS, SAÚDE PÚBLICA
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ABNT
SILVA, Henrique de Araújo et al. Supporting IoT-based applications to combat the Aedes aegypti mosquito: a case in Brazil. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/CBMS52027.2021.00029. Acesso em: 08 jul. 2024.
APA
Silva, H. de A., Adriano, E., Scatolini, D., & Braga, R. T. V. (2021). Supporting IoT-based applications to combat the Aedes aegypti mosquito: a case in Brazil. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS52027.2021.00029
NLM
Silva H de A, Adriano E, Scatolini D, Braga RTV. Supporting IoT-based applications to combat the Aedes aegypti mosquito: a case in Brazil [Internet]. Proceedings. 2021 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00029
Vancouver
Silva H de A, Adriano E, Scatolini D, Braga RTV. Supporting IoT-based applications to combat the Aedes aegypti mosquito: a case in Brazil [Internet]. Proceedings. 2021 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00029
Trabalho de evento
BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging (2021)
Ramos, Jonathan da Silva ; Maciel, Jamilly Gomes; Cazzolato, Mirela Teixeira ; Traina Junior, Caetano ; Nogueira-Barbosa, Marcello Henrique ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidades: ICMC, FMRP
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, RESSONÂNCIA MAGNÉTICA, DENSITOMETRIA ÓSSEA, OSTEOPOROSE, FRATURAS, VÉRTEBRAS LOMBARES
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ABNT
RAMOS, Jonathan da Silva et al. BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/CBMS52027.2021.00089. Acesso em: 08 jul. 2024.
APA
Ramos, J. da S., Maciel, J. G., Cazzolato, M. T., Traina Junior, C., Nogueira-Barbosa, M. H., & Traina, A. J. M. (2021). BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS52027.2021.00089
NLM
Ramos J da S, Maciel JG, Cazzolato MT, Traina Junior C, Nogueira-Barbosa MH, Traina AJM. BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging [Internet]. Proceedings. 2021 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00089
Vancouver
Ramos J da S, Maciel JG, Cazzolato MT, Traina Junior C, Nogueira-Barbosa MH, Traina AJM. BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging [Internet]. Proceedings. 2021 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00089
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
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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: 08 jul. 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 jul. 08 ] 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 jul. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00073
Trabalho de evento
Hyperspectral signal analysis for thyroid neoplasm typification on infrared spectrum (2021)
Baffa, Matheus de Freitas Oliveira; Bachmann, Luciano ; Pereira, Thiago Martini; Felipe, Joaquim Cezar
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidades: FFCLRP, BIOENGENHARIA
Subjects: ESPECTROSCOPIA, NEOPLASIAS DA TIREOIDE, BIÓPSIA, IMAGEM DIGITAL, RADIAÇÃO INFRAVERMELHA
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ABNT
BAFFA, Matheus de Freitas Oliveira et al. Hyperspectral signal analysis for thyroid neoplasm typification on infrared spectrum. 2021, Anais.. Piscataway: Computer-Based Medical Systems - CBMS, 2021. Disponível em: https://doi.org/10.1109/CBMS52027.2021.00060. Acesso em: 08 jul. 2024.
APA
Baffa, M. de F. O., Bachmann, L., Pereira, T. M., & Felipe, J. C. (2021). Hyperspectral signal analysis for thyroid neoplasm typification on infrared spectrum. In Proceedings. Piscataway: Computer-Based Medical Systems - CBMS. doi:10.1109/CBMS52027.2021.00060
NLM
Baffa M de FO, Bachmann L, Pereira TM, Felipe JC. Hyperspectral signal analysis for thyroid neoplasm typification on infrared spectrum [Internet]. Proceedings. 2021 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00060
Vancouver
Baffa M de FO, Bachmann L, Pereira TM, Felipe JC. Hyperspectral signal analysis for thyroid neoplasm typification on infrared spectrum [Internet]. Proceedings. 2021 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00060
Trabalho de evento
I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs (2021)
Linhares, Claudio Douglas Gouveia ; Lima, Daniel Mário de ; Bones, Christian Cesar ; Rebelo, Marina F. S; Gutierrez, Marco Antonio ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: BANCO DE DADOS, VISUALIZAÇÃO, MINERAÇÃO DE DADOS, REDES COMPLEXAS, COVID-19
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ABNT
LINHARES, Claudio Douglas Gouveia et al. I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/CBMS52027.2021.00059. Acesso em: 08 jul. 2024.
APA
Linhares, C. D. G., Lima, D. M. de, Bones, C. C., Rebelo, M. F. S., Gutierrez, M. A., Traina Junior, C., & Traina, A. J. M. (2021). I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS52027.2021.00059
NLM
Linhares CDG, Lima DM de, Bones CC, Rebelo MFS, Gutierrez MA, Traina Junior C, Traina AJM. I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs [Internet]. Proceedings. 2021 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00059
Vancouver
Linhares CDG, Lima DM de, Bones CC, Rebelo MFS, Gutierrez MA, Traina Junior C, Traina AJM. I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs [Internet]. Proceedings. 2021 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00059
Trabalho de evento
Towards a decentralized e-prescription system using smart contracts (2021)
Garcia, Rodrigo Dutra ; Zutião, Gabriel Augusto ; Ramachandran, Gowri ; Ueyama, Jó
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: REGISTROS MÉDICOS, COMPUTAÇÃO APLICADA, CUSTOS DE MEDICAMENTOS
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ABNT
GARCIA, Rodrigo Dutra et al. Towards a decentralized e-prescription system using smart contracts. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/CBMS52027.2021.00037. Acesso em: 08 jul. 2024.
APA
Garcia, R. D., Zutião, G. A., Ramachandran, G., & Ueyama, J. (2021). Towards a decentralized e-prescription system using smart contracts. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS52027.2021.00037
NLM
Garcia RD, Zutião GA, Ramachandran G, Ueyama J. Towards a decentralized e-prescription system using smart contracts [Internet]. Proceedings. 2021 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00037
Vancouver
Garcia RD, Zutião GA, Ramachandran G, Ueyama J. Towards a decentralized e-prescription system using smart contracts [Internet]. Proceedings. 2021 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00037
Trabalho de evento
A two-phase learning approach for the segmentation of dermatological wounds (2019)
Silva, Wellington S; Jasbick, Daniel L ; Wilson, Rodrigo E; Azevedo-Marques, Paulo Mazzoncini de ; Traina, Agma Juci Machado ; Santos, Lúcio F. D; Jorge, Ana Elisa Serafim ; Oliveira, Daniel de; Bêdo, Marcos Vinícius Naves
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, ÚLCERA CUTÂNEA
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ABNT
SILVA, Wellington S et al. A two-phase learning approach for the segmentation of dermatological wounds. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/CBMS.2019.00076. Acesso em: 08 jul. 2024.
APA
Silva, W. S., Jasbick, D. L., Wilson, R. E., Azevedo-Marques, P. M. de, Traina, A. J. M., Santos, L. F. D., et al. (2019). A two-phase learning approach for the segmentation of dermatological wounds. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS.2019.00076
NLM
Silva WS, Jasbick DL, Wilson RE, Azevedo-Marques PM de, Traina AJM, Santos LFD, Jorge AES, Oliveira D de, Bêdo MVN. A two-phase learning approach for the segmentation of dermatological wounds [Internet]. Proceedings. 2019 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS.2019.00076
Vancouver
Silva WS, Jasbick DL, Wilson RE, Azevedo-Marques PM de, Traina AJM, Santos LFD, Jorge AES, Oliveira D de, Bêdo MVN. A two-phase learning approach for the segmentation of dermatological wounds [Internet]. Proceedings. 2019 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS.2019.00076
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: 08 jul. 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 jul. 08 ] 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 jul. 08 ] 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: 08 jul. 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 jul. 08 ] 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 jul. 08 ] 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: 08 jul. 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 jul. 08 ] 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 jul. 08 ] Available from: https://doi.org/10.1109/CBMS.2019.00070
Trabalho de evento
A study of the influence of textual features in learning medical prior authorization (2019)
Magalhães Junior, Gilvan Veras; Vieira, João Paulo Albuquerque; Santos, Roney Lira de Sales; Barbosa, Jardeson Leandro Nascimento; Santos Neto, Pedro de Alcântara dos; Moura, Raimundo Santos
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, SEGURO DE SAÚDE, SISTEMAS PRÉ-PAGOS DE SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAGALHÃES JUNIOR, Gilvan Veras et al. A study of the influence of textual features in learning medical prior authorization. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/CBMS.2019.00021. Acesso em: 08 jul. 2024.
APA
Magalhães Junior, G. V., Vieira, J. P. A., Santos, R. L. de S., Barbosa, J. L. N., Santos Neto, P. de A. dos, & Moura, R. S. (2019). A study of the influence of textual features in learning medical prior authorization. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS.2019.00021
NLM
Magalhães Junior GV, Vieira JPA, Santos RL de S, Barbosa JLN, Santos Neto P de A dos, Moura RS. A study of the influence of textual features in learning medical prior authorization [Internet]. Proceedings. 2019 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS.2019.00021
Vancouver
Magalhães Junior GV, Vieira JPA, Santos RL de S, Barbosa JLN, Santos Neto P de A dos, Moura RS. A study of the influence of textual features in learning medical prior authorization [Internet]. Proceedings. 2019 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS.2019.00021
Trabalho de evento
Support for accessibility, reproducibility and transparency in a service-oriented gene expression analysis platform (2019)
Silva, Wilson Daniel da; Farias, Cléver Ricardo Guareis de
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: FFCLRP
Subjects: EXPRESSÃO GÊNICA, REPRODUTIBILIDADE DE RESULTADOS, INFORMÁTICA MÉDICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Wilson Daniel da e FARIAS, Cléver Ricardo Guareis de. Support for accessibility, reproducibility and transparency in a service-oriented gene expression analysis platform. 2019, Anais.. Psicataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/cbms.2019.00098. Acesso em: 08 jul. 2024.
APA
Silva, W. D. da, & Farias, C. R. G. de. (2019). Support for accessibility, reproducibility and transparency in a service-oriented gene expression analysis platform. In Proceedings. Psicataway: IEEE. doi:10.1109/cbms.2019.00098
NLM
Silva WD da, Farias CRG de. Support for accessibility, reproducibility and transparency in a service-oriented gene expression analysis platform [Internet]. Proceedings. 2019 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/cbms.2019.00098
Vancouver
Silva WD da, Farias CRG de. Support for accessibility, reproducibility and transparency in a service-oriented gene expression analysis platform [Internet]. Proceedings. 2019 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/cbms.2019.00098
Trabalho de evento
Software architecture for health care supportive home systems to assist patients with diabetes mellitus (2019)
Rodríguez, Lina María Garcés ; Vicente, Isabella Zanin; Nakagawa, Elisa Yumi
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidades: ICMC, EESC E ICMC
Subjects: DIABETES MELLITUS, ASSISTÊNCIA À SAÚDE, ARQUITETURA DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRÍGUEZ, Lina María Garcés e VICENTE, Isabella Zanin e NAKAGAWA, Elisa Yumi. Software architecture for health care supportive home systems to assist patients with diabetes mellitus. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/CBMS.2019.00060. Acesso em: 08 jul. 2024.
APA
Rodríguez, L. M. G., Vicente, I. Z., & Nakagawa, E. Y. (2019). Software architecture for health care supportive home systems to assist patients with diabetes mellitus. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS.2019.00060
NLM
Rodríguez LMG, Vicente IZ, Nakagawa EY. Software architecture for health care supportive home systems to assist patients with diabetes mellitus [Internet]. Proceedings. 2019 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS.2019.00060
Vancouver
Rodríguez LMG, Vicente IZ, Nakagawa EY. Software architecture for health care supportive home systems to assist patients with diabetes mellitus [Internet]. Proceedings. 2019 ;[citado 2024 jul. 08 ] Available from: https://doi.org/10.1109/CBMS.2019.00060

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