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Trabalho de evento
RadPleura: a radiomics-based framework for lung pleura classification in histology images from interstitial lung diseases (2024)
Linares, Oscar Alonso Cuadros ; Belizario, Ivar Vargas ; Batah, Sabrina Setembre ; Hamann, Bernd ; Fabro, Alexandre Todorovic ; Azevedo-Marques, Paulo Mazzoncini de ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: IEEE International Symposium on Biomedical Imaging - ISBI. Unidades: FMRP, ICMC
Subjects: RECONHECIMENTO DE IMAGEM, APRENDIZADO COMPUTACIONAL, DIAGNÓSTICO POR COMPUTADOR, DIAGNÓSTICO POR IMAGEM, DOENÇAS PULMONARES INTERSTICIAIS, PLEURA, TECNOLOGIAS DA SAÚDE
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ABNT
LINARES, Oscar Alonso Cuadros et al. RadPleura: a radiomics-based framework for lung pleura classification in histology images from interstitial lung diseases. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/ISBI56570.2024.10635328. Acesso em: 08 dez. 2025.
APA
Linares, O. A. C., Belizario, I. V., Batah, S. S., Hamann, B., Fabro, A. T., Azevedo-Marques, P. M. de, & Traina, A. J. M. (2024). RadPleura: a radiomics-based framework for lung pleura classification in histology images from interstitial lung diseases. In Proceedings. Piscataway: IEEE. doi:10.1109/ISBI56570.2024.10635328
NLM
Linares OAC, Belizario IV, Batah SS, Hamann B, Fabro AT, Azevedo-Marques PM de, Traina AJM. RadPleura: a radiomics-based framework for lung pleura classification in histology images from interstitial lung diseases [Internet]. Proceedings. 2024 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/ISBI56570.2024.10635328
Vancouver
Linares OAC, Belizario IV, Batah SS, Hamann B, Fabro AT, Azevedo-Marques PM de, Traina AJM. RadPleura: a radiomics-based framework for lung pleura classification in histology images from interstitial lung diseases [Internet]. Proceedings. 2024 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/ISBI56570.2024.10635328
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 dez. 2025.
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 2025 dez. 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 2025 dez. 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 dez. 2025.
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 2025 dez. 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 2025 dez. 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 dez. 2025.
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 2025 dez. 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 2025 dez. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00111
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 dez. 2025.
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 2025 dez. 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 2025 dez. 08 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00089
Trabalho de evento
Redundant robot kinematics error analysis for neurosurgical procedures (2021)
Godoy, Ricardo Vilela de; Reis, Tharik José Sorrino dos; Lahr, Gustavo José Giardini; Polegato, Paulo; Becker, Marcelo ; Magalhães, Daniel Varela ; Caurin, Glauco Augusto de Paula ; Machado, Hélio Rubens ; Santos, Marcelo Volpon
Source: Proceedings. Conference titles: IEEE/IAS International Conference On Industry Applications (INDUSCON). Unidades: EESC, FMRP
Assunto: ENGENHARIA MECÂNICA
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ABNT
GODOY, Ricardo Vilela de et al. Redundant robot kinematics error analysis for neurosurgical procedures. 2021, Anais.. New York, NY, USA: IEEE, 2021. Disponível em: https://doi.org/10.1109/INDUSCON51756.2021.9529675. Acesso em: 08 dez. 2025.
APA
Godoy, R. V. de, Reis, T. J. S. dos, Lahr, G. J. G., Polegato, P., Becker, M., Magalhães, D. V., et al. (2021). Redundant robot kinematics error analysis for neurosurgical procedures. In Proceedings. New York, NY, USA: IEEE. doi:10.1109/INDUSCON51756.2021.9529675
NLM
Godoy RV de, Reis TJS dos, Lahr GJG, Polegato P, Becker M, Magalhães DV, Caurin GA de P, Machado HR, Santos MV. Redundant robot kinematics error analysis for neurosurgical procedures [Internet]. Proceedings. 2021 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/INDUSCON51756.2021.9529675
Vancouver
Godoy RV de, Reis TJS dos, Lahr GJG, Polegato P, Becker M, Magalhães DV, Caurin GA de P, Machado HR, Santos MV. Redundant robot kinematics error analysis for neurosurgical procedures [Internet]. Proceedings. 2021 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/INDUSCON51756.2021.9529675
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
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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: 08 dez. 2025.
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 2025 dez. 08 ] 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 2025 dez. 08 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00017
Trabalho de evento
A multivariate geometric distribution for lifetimes of n-components series systems (2020)
Oliveira, Ricardo Puziol de ; Achcar, Jorge Alberto
Source: Proceedings. Conference titles: International Workshop on Statistical Modelling - IWSM. Unidade: FMRP
Subjects: INFERÊNCIA BAYESIANA, TEORIA DA CONFIABILIDADE, ESTATÍSTICA
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ABNT
OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. A multivariate geometric distribution for lifetimes of n-components series systems. 2020, Anais.. Bilbao: University of the Basque Country, 2020. Disponível em: https://addi.ehu.es/bitstream/handle/10810/45863/USPDF202673.pdf?sequence=4&isAllowed=y. Acesso em: 08 dez. 2025.
APA
Oliveira, R. P. de, & Achcar, J. A. (2020). A multivariate geometric distribution for lifetimes of n-components series systems. In Proceedings. Bilbao: University of the Basque Country. Recuperado de https://addi.ehu.es/bitstream/handle/10810/45863/USPDF202673.pdf?sequence=4&isAllowed=y
NLM
Oliveira RP de, Achcar JA. A multivariate geometric distribution for lifetimes of n-components series systems [Internet]. Proceedings. 2020 ;[citado 2025 dez. 08 ] Available from: https://addi.ehu.es/bitstream/handle/10810/45863/USPDF202673.pdf?sequence=4&isAllowed=y
Vancouver
Oliveira RP de, Achcar JA. A multivariate geometric distribution for lifetimes of n-components series systems [Internet]. Proceedings. 2020 ;[citado 2025 dez. 08 ] Available from: https://addi.ehu.es/bitstream/handle/10810/45863/USPDF202673.pdf?sequence=4&isAllowed=y
Trabalho de evento
Semi-automatic ulcer segmentation and wound area measurement supporting telemedicine (2020)
Cazzolato, Mirela Teixeira ; Ramos, Jonathan da Silva ; Rodrigues, Lucas Santiago ; Scabora, Lucas de Carvalho ; Chino, Daniel Yoshinobu Takada ; Jorge, Ana Elisa Serafim ; Azevedo-Marques, Paulo Mazzoncini de ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS. Unidades: FMRP, ICMC
Subjects: COMPUTAÇÃO MÓVEL, PROCESSAMENTO DE IMAGENS, ÚLCERA CUTÂNEA, TECNOLOGIAS DA SAÚDE, TELEMEDICINA
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ABNT
CAZZOLATO, Mirela Teixeira et al. Semi-automatic ulcer segmentation and wound area measurement supporting telemedicine. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/CBMS49503.2020.00073. Acesso em: 08 dez. 2025.
APA
Cazzolato, M. T., Ramos, J. da S., Rodrigues, L. S., Scabora, L. de C., Chino, D. Y. T., Jorge, A. E. S., et al. (2020). Semi-automatic ulcer segmentation and wound area measurement supporting telemedicine. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS49503.2020.00073
NLM
Cazzolato MT, Ramos J da S, Rodrigues LS, Scabora L de C, Chino DYT, Jorge AES, Azevedo-Marques PM de, Traina Junior C, Traina AJM. Semi-automatic ulcer segmentation and wound area measurement supporting telemedicine [Internet]. Proceedings. 2020 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00073
Vancouver
Cazzolato MT, Ramos J da S, Rodrigues LS, Scabora L de C, Chino DYT, Jorge AES, Azevedo-Marques PM de, Traina Junior C, Traina AJM. Semi-automatic ulcer segmentation and wound area measurement supporting telemedicine [Internet]. Proceedings. 2020 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/CBMS49503.2020.00073
Trabalho de evento
FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI (2020)
Ramos, Jonathan da Silva ; Cazzolato, Mirela Teixeira ; Nogueira-Barbosa, Marcello Henrique ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidades: FMRP, ICMC
Subjects: INFORMÁTICA MÉDICA, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO, RESSONÂNCIA MAGNÉTICA, PROCESSAMENTO DE IMAGENS
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ABNT
RAMOS, Jonathan da Silva et al. FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3341105.3374100. Acesso em: 08 dez. 2025.
APA
Ramos, J. da S., Cazzolato, M. T., Nogueira-Barbosa, M. H., & Traina, A. J. M. (2020). FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI. In Proceedings. New York: ACM. doi:10.1145/3341105.3374100
NLM
Ramos J da S, Cazzolato MT, Nogueira-Barbosa MH, Traina AJM. FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI [Internet]. Proceedings. 2020 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1145/3341105.3374100
Vancouver
Ramos J da S, Cazzolato MT, Nogueira-Barbosa MH, Traina AJM. FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI [Internet]. Proceedings. 2020 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1145/3341105.3374100
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 dez. 2025.
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 2025 dez. 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 2025 dez. 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
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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 dez. 2025.
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 2025 dez. 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 2025 dez. 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
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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 dez. 2025.
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 2025 dez. 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 2025 dez. 08 ] Available from: https://doi.org/10.1109/CBMS.2019.00091
Trabalho de evento-resumo
Exploring IncRNAS in Alzheimer's disease (2019)
Miranda, Beatriz; Orlando-Castillo, Willian; Giuliatti, Silvana
Source: Proceedings. Conference titles: X-Meeting International Conference of the AB3C. Unidade: FMRP
Subjects: DOENÇA DE ALZHEIMER, RNA
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ABNT
MIRANDA, Beatriz e ORLANDO-CASTILLO, Willian e GIULIATTI, Silvana. Exploring IncRNAS in Alzheimer's disease. 2019, Anais.. Campos do Jordão: Associação Brasileira de Bioinformática e Biologia Computacional, 2019. Disponível em: file:///C:/Users/marco/Downloads/XM_proceedings_2019%20(1).pdf. Acesso em: 08 dez. 2025.
APA
Miranda, B., Orlando-Castillo, W., & Giuliatti, S. (2019). Exploring IncRNAS in Alzheimer's disease. In Proceedings. Campos do Jordão: Associação Brasileira de Bioinformática e Biologia Computacional. Recuperado de file:///C:/Users/marco/Downloads/XM_proceedings_2019%20(1).pdf
NLM
Miranda B, Orlando-Castillo W, Giuliatti S. Exploring IncRNAS in Alzheimer's disease [Internet]. Proceedings. 2019 ;[citado 2025 dez. 08 ] Available from: file:///C:/Users/marco/Downloads/XM_proceedings_2019%20(1).pdf
Vancouver
Miranda B, Orlando-Castillo W, Giuliatti S. Exploring IncRNAS in Alzheimer's disease [Internet]. Proceedings. 2019 ;[citado 2025 dez. 08 ] Available from: file:///C:/Users/marco/Downloads/XM_proceedings_2019%20(1).pdf
Trabalho de evento-resumo
Nitrogen catabolite repression in Trichophyton rubrum during the adaptive process to host molecules (2019)
Martins, Maíra Pompeu ; Sanches, Pablo Rodrigo ; Martinez-Rossi, Nilce Maria ; Rossi, Antônio
Source: Proceedings. Conference titles: X-Meeting International Conference of the AB3C. Unidade: FMRP
Subjects: FUNGOS, EXPRESSÃO GÊNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINS, Maíra Pompeu et al. Nitrogen catabolite repression in Trichophyton rubrum during the adaptive process to host molecules. 2019, Anais.. Campos do Jordão: Associação Brasileira de Bioinformática e Biologia Computacional, 2019. Disponível em: http://drive.ab3c.org.br/index.php/s/WDdbkSCMs5onm49#pdfviewer. Acesso em: 08 dez. 2025.
APA
Martins, M. P., Sanches, P. R., Martinez-Rossi, N. M., & Rossi, A. (2019). Nitrogen catabolite repression in Trichophyton rubrum during the adaptive process to host molecules. In Proceedings. Campos do Jordão: Associação Brasileira de Bioinformática e Biologia Computacional. Recuperado de http://drive.ab3c.org.br/index.php/s/WDdbkSCMs5onm49#pdfviewer
NLM
Martins MP, Sanches PR, Martinez-Rossi NM, Rossi A. Nitrogen catabolite repression in Trichophyton rubrum during the adaptive process to host molecules [Internet]. Proceedings. 2019 ;[citado 2025 dez. 08 ] Available from: http://drive.ab3c.org.br/index.php/s/WDdbkSCMs5onm49#pdfviewer
Vancouver
Martins MP, Sanches PR, Martinez-Rossi NM, Rossi A. Nitrogen catabolite repression in Trichophyton rubrum during the adaptive process to host molecules [Internet]. Proceedings. 2019 ;[citado 2025 dez. 08 ] Available from: http://drive.ab3c.org.br/index.php/s/WDdbkSCMs5onm49#pdfviewer
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: 08 dez. 2025.
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 2025 dez. 08 ] 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 2025 dez. 08 ] Available from: https://doi.org/10.1109/SIBGRAPI.2019.00019
Trabalho de evento-resumo
Analysis of potential disease-causing variants in a patient with intellectual disability via whole-exome sequencing (2019)
Ruy, Patricia de Cássia; Barros, Isabela Ichihara ; Rosa, Reginaldo Cruz Alves ; Plaça, Jessica Rodrigues ; Corveloni, Amanda Cristina; Cardoso, Cibele ; Souza, Aline Fernanda de ; Biagi Junior, Carlos Alberto Oliveira de ; Siena, Ádamo Davi Diogenes; Zueli, Kamila Peronni; Tellechea, Maria Florencia ; Carvalho, Simone da Costa e Silva; Molfetta, Greice Andreotti de ; Pina Neto, João Monteiro de ; Silva Junior, Wilson Araújo da
Source: Proceedings. Conference titles: X-Meeting International Conference of the AB3C. Unidades: FMRP, FZEA
Subjects: SEQUENCIAMENTO GENÉTICO, PESSOAS COM DEFICIÊNCIA INTELECTUAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RUY, Patricia de Cássia et al. Analysis of potential disease-causing variants in a patient with intellectual disability via whole-exome sequencing. 2019, Anais.. Campos do Jordão: Associação Brasileira de Bioinformática e Biologia Computacional, 2019. Disponível em: http://drive.ab3c.org.br/index.php/s/WDdbkSCMs5onm49. Acesso em: 08 dez. 2025.
APA
Ruy, P. de C., Barros, I. I., Rosa, R. C. A., Plaça, J. R., Corveloni, A. C., Cardoso, C., et al. (2019). Analysis of potential disease-causing variants in a patient with intellectual disability via whole-exome sequencing. In Proceedings. Campos do Jordão: Associação Brasileira de Bioinformática e Biologia Computacional. Recuperado de http://drive.ab3c.org.br/index.php/s/WDdbkSCMs5onm49
NLM
Ruy P de C, Barros II, Rosa RCA, Plaça JR, Corveloni AC, Cardoso C, Souza AF de, Biagi Junior CAO de, Siena ÁDD, Zueli KP, Tellechea MF, Carvalho S da C e S, Molfetta GA de, Pina Neto JM de, Silva Junior WA da. Analysis of potential disease-causing variants in a patient with intellectual disability via whole-exome sequencing [Internet]. Proceedings. 2019 ;[citado 2025 dez. 08 ] Available from: http://drive.ab3c.org.br/index.php/s/WDdbkSCMs5onm49
Vancouver
Ruy P de C, Barros II, Rosa RCA, Plaça JR, Corveloni AC, Cardoso C, Souza AF de, Biagi Junior CAO de, Siena ÁDD, Zueli KP, Tellechea MF, Carvalho S da C e S, Molfetta GA de, Pina Neto JM de, Silva Junior WA da. Analysis of potential disease-causing variants in a patient with intellectual disability via whole-exome sequencing [Internet]. Proceedings. 2019 ;[citado 2025 dez. 08 ] Available from: http://drive.ab3c.org.br/index.php/s/WDdbkSCMs5onm49
Trabalho de evento
Hand range of motion evaluation for rheumatoid arthritis patients (2019)
Cejnog, Luciano Walenty Xavier; César Júnior, Roberto Marcondes ; Campos, Teófilo Emídio de ; Elui, Valéria Meirelles Carril
Source: Proceedings. Conference titles: IEEE International Conference on Automatic Face & Gesture Recognition - FG. Unidades: IME, FMRP
Subjects: BIOMECÂNICA, GEOMETRIA COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CEJNOG, Luciano Walenty Xavier et al. Hand range of motion evaluation for rheumatoid arthritis patients. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/FG.2019.8756535. Acesso em: 08 dez. 2025.
APA
Cejnog, L. W. X., César Júnior, R. M., Campos, T. E. de, & Elui, V. M. C. (2019). Hand range of motion evaluation for rheumatoid arthritis patients. In Proceedings. Piscataway: IEEE. doi:10.1109/FG.2019.8756535
NLM
Cejnog LWX, César Júnior RM, Campos TE de, Elui VMC. Hand range of motion evaluation for rheumatoid arthritis patients [Internet]. Proceedings. 2019 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/FG.2019.8756535
Vancouver
Cejnog LWX, César Júnior RM, Campos TE de, Elui VMC. Hand range of motion evaluation for rheumatoid arthritis patients [Internet]. Proceedings. 2019 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1109/FG.2019.8756535
Trabalho de evento-resumo
Insights of the IRF1 DNA binding domain: modeling and dynamics of its 3D structure (2019)
Alves, Cinthia Caroline ; Donadi, Eduardo Antônio ; Giuliatti, Silvana
Source: Proceedings. Conference titles: X-Meeting International Conference of the AB3C. Unidade: FMRP
Subjects: DNA, TERCEIRA DIMENSÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALVES, Cinthia Caroline e DONADI, Eduardo Antônio e GIULIATTI, Silvana. Insights of the IRF1 DNA binding domain: modeling and dynamics of its 3D structure. 2019, Anais.. Campos do Jordão: Associação Brasileira de Bioinformática e Biologia Computacional, 2019. Disponível em: http://drive.ab3c.org.br/index.php/s/WDdbkSCMs5onm49#pdfviewer. Acesso em: 08 dez. 2025.
APA
Alves, C. C., Donadi, E. A., & Giuliatti, S. (2019). Insights of the IRF1 DNA binding domain: modeling and dynamics of its 3D structure. In Proceedings. Campos do Jordão: Associação Brasileira de Bioinformática e Biologia Computacional. Recuperado de http://drive.ab3c.org.br/index.php/s/WDdbkSCMs5onm49#pdfviewer
NLM
Alves CC, Donadi EA, Giuliatti S. Insights of the IRF1 DNA binding domain: modeling and dynamics of its 3D structure [Internet]. Proceedings. 2019 ;[citado 2025 dez. 08 ] Available from: http://drive.ab3c.org.br/index.php/s/WDdbkSCMs5onm49#pdfviewer
Vancouver
Alves CC, Donadi EA, Giuliatti S. Insights of the IRF1 DNA binding domain: modeling and dynamics of its 3D structure [Internet]. Proceedings. 2019 ;[citado 2025 dez. 08 ] Available from: http://drive.ab3c.org.br/index.php/s/WDdbkSCMs5onm49#pdfviewer
Trabalho de evento
BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging (2019)
Ramos, Jonathan S; Watanabe, Carolina Yukari Veludo; Nogueira-Barbosa, Marcello Henrique; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidades: FMRP, ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, COMPREENSÃO VERBAL, RESSONÂNCIA MAGNÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Jonathan S et al. BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. 2019, Anais.. New York: ACM, 2019. Disponível em: https://doi.org/10.1145/3297280.3299728. Acesso em: 08 dez. 2025.
APA
Ramos, J. S., Watanabe, C. Y. V., Nogueira-Barbosa, M. H., & Traina, A. J. M. (2019). BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. In Proceedings. New York: ACM. doi:10.1145/3297280.3299728
NLM
Ramos JS, Watanabe CYV, Nogueira-Barbosa MH, Traina AJM. BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging [Internet]. Proceedings. 2019 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1145/3297280.3299728
Vancouver
Ramos JS, Watanabe CYV, Nogueira-Barbosa MH, Traina AJM. BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging [Internet]. Proceedings. 2019 ;[citado 2025 dez. 08 ] Available from: https://doi.org/10.1145/3297280.3299728

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