ReP USP - Resultado da busca

Artigo de periodico
Features of lumbar spine texture extracted from routine MRI correlate with bone mineral density and can potentially differentiate patients with and without fragility fractures in the spine (2023)
Maciel, J. G.; Salmon, Carlos Ernesto Garrido ; Hosseini, B. S.; Azevedo-Marques, Paulo Mazzoncini de ; Paula, Francisco Jose Albuquerque de; Nogueira-Barbosa, Marcello Henrique
Source: Brazilian Journal of Medical and Biological Research. Unidades: FFCLRP, FMRP
Subjects: DENSIDADE ÓSSEA, DOENÇAS ÓSSEAS, VÉRTEBRAS LOMBARES, DIAGNÓSTICO POR IMAGEM, IMAGEM POR RESSONÂNCIA MAGNÉTICA, OSTEOPOROSE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACIEL, J. G. et al. Features of lumbar spine texture extracted from routine MRI correlate with bone mineral density and can potentially differentiate patients with and without fragility fractures in the spine. Brazilian Journal of Medical and Biological Research, v. 56, 2023Tradução . . Disponível em: https://doi.org/10.1590/1414-431X2023e12454. Acesso em: 09 jul. 2024.
APA
Maciel, J. G., Salmon, C. E. G., Hosseini, B. S., Azevedo-Marques, P. M. de, Paula, F. J. A. de, & Nogueira-Barbosa, M. H. (2023). Features of lumbar spine texture extracted from routine MRI correlate with bone mineral density and can potentially differentiate patients with and without fragility fractures in the spine. Brazilian Journal of Medical and Biological Research, 56. doi:10.1590/1414-431X2023e12454
NLM
Maciel JG, Salmon CEG, Hosseini BS, Azevedo-Marques PM de, Paula FJA de, Nogueira-Barbosa MH. Features of lumbar spine texture extracted from routine MRI correlate with bone mineral density and can potentially differentiate patients with and without fragility fractures in the spine [Internet]. Brazilian Journal of Medical and Biological Research. 2023 ; 56[citado 2024 jul. 09 ] Available from: https://doi.org/10.1590/1414-431X2023e12454
Vancouver
Maciel JG, Salmon CEG, Hosseini BS, Azevedo-Marques PM de, Paula FJA de, Nogueira-Barbosa MH. Features of lumbar spine texture extracted from routine MRI correlate with bone mineral density and can potentially differentiate patients with and without fragility fractures in the spine [Internet]. Brazilian Journal of Medical and Biological Research. 2023 ; 56[citado 2024 jul. 09 ] Available from: https://doi.org/10.1590/1414-431X2023e12454
Artigo de periodico
Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging (2020)
Faleiros, Matheus Calil; Nogueira-Barbosa, Marcello Henrique ; Dalto, Vitor Faeda ; Júnior, José Raniery Ferreira ; Tenório, Ariane Priscilla Magalhães; Luppino-Assad, Rodrigo; Louzada Júnior, Paulo ; Rangayyan, Rangaraj Mandayam; Azevedo-Marques, Paulo Mazzoncini de
Source: Advances in Rheumatology. Unidade: FMRP
Subjects: DIAGNÓSTICO POR COMPUTADOR, ARTICULAÇÕES, DOENÇAS REUMÁTICAS, APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FALEIROS, Matheus Calil et al. Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging. Advances in Rheumatology, v. 60, p. 1-10, 2020Tradução . . Disponível em: https://doi.org/10.1186/s42358-020-00126-8. Acesso em: 09 jul. 2024.
APA
Faleiros, M. C., Nogueira-Barbosa, M. H., Dalto, V. F., Júnior, J. R. F., Tenório, A. P. M., Luppino-Assad, R., et al. (2020). Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging. Advances in Rheumatology, 60, 1-10. doi:10.1186/s42358-020-00126-8
NLM
Faleiros MC, Nogueira-Barbosa MH, Dalto VF, Júnior JRF, Tenório APM, Luppino-Assad R, Louzada Júnior P, Rangayyan RM, Azevedo-Marques PM de. Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging [Internet]. Advances in Rheumatology. 2020 ; 60 1-10.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1186/s42358-020-00126-8
Vancouver
Faleiros MC, Nogueira-Barbosa MH, Dalto VF, Júnior JRF, Tenório APM, Luppino-Assad R, Louzada Júnior P, Rangayyan RM, Azevedo-Marques PM de. Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging [Internet]. Advances in Rheumatology. 2020 ; 60 1-10.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1186/s42358-020-00126-8
Artigo de periodico
A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis (2020)
Tenório, Ariane Priscilla Magalhães; Faleiros, Matheus Calil; Ferreira Junior, José Raniery ; Dalto, Vitor Faeda ; Assad, Rodrigo Luppino ; Louzada Júnior, Paulo ; Yoshida, Hiroyuki; Nogueira-Barbosa, Marcello Henrique ; Azevedo-Marques, Paulo Mazzoncini de
Source: International Journal of Computer Assisted Radiology and Surgery. Unidade: FMRP
Subjects: IMAGEM DIGITAL, RESSONÂNCIA MAGNÉTICA, BIOMARCADORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TENÓRIO, Ariane Priscilla Magalhães et al. A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis. International Journal of Computer Assisted Radiology and Surgery, v. 15, p. 1737-1748, 2020Tradução . . Disponível em: https://doi.org/10.1007/s11548-020-02219-7. Acesso em: 09 jul. 2024.
APA
Tenório, A. P. M., Faleiros, M. C., Ferreira Junior, J. R., Dalto, V. F., Assad, R. L., Louzada Júnior, P., et al. (2020). A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis. International Journal of Computer Assisted Radiology and Surgery, 15, 1737-1748. doi:10.1007/s11548-020-02219-7
NLM
Tenório APM, Faleiros MC, Ferreira Junior JR, Dalto VF, Assad RL, Louzada Júnior P, Yoshida H, Nogueira-Barbosa MH, Azevedo-Marques PM de. A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2020 ; 15 1737-1748.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11548-020-02219-7
Vancouver
Tenório APM, Faleiros MC, Ferreira Junior JR, Dalto VF, Assad RL, Louzada Júnior P, Yoshida H, Nogueira-Barbosa MH, Azevedo-Marques PM de. A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2020 ; 15 1737-1748.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11548-020-02219-7
Artigo de periodico
Noise modeling and variance stabilization of a computed radiography (CR) mammography system subject to fixed-pattern noise (2020)
Borges, Lucas Rodrigues; Brochi, Marco Aurélio Corte; Xu, Zhongwei; Foi, Alessandro; Vieira, Marcelo Andrade da Costa ; Azevedo-Marques, Paulo Mazzoncini de
Source: Physics in Medicine and Biology. Unidades: EESC, FMRP
Subjects: ALGORITMOS, MAMOGRAFIA, IMAGEM DIGITAL, SINAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BORGES, Lucas Rodrigues et al. Noise modeling and variance stabilization of a computed radiography (CR) mammography system subject to fixed-pattern noise. Physics in Medicine and Biology, v. 65, n. 22, p. 1-12, 2020Tradução . . Disponível em: https://doi.org/10.1088/1361-6560/abbb74. Acesso em: 09 jul. 2024.
APA
Borges, L. R., Brochi, M. A. C., Xu, Z., Foi, A., Vieira, M. A. da C., & Azevedo-Marques, P. M. de. (2020). Noise modeling and variance stabilization of a computed radiography (CR) mammography system subject to fixed-pattern noise. Physics in Medicine and Biology, 65( 22), 1-12. doi:10.1088/1361-6560/abbb74
NLM
Borges LR, Brochi MAC, Xu Z, Foi A, Vieira MA da C, Azevedo-Marques PM de. Noise modeling and variance stabilization of a computed radiography (CR) mammography system subject to fixed-pattern noise [Internet]. Physics in Medicine and Biology. 2020 ; 65( 22): 1-12.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1088/1361-6560/abbb74
Vancouver
Borges LR, Brochi MAC, Xu Z, Foi A, Vieira MA da C, Azevedo-Marques PM de. Noise modeling and variance stabilization of a computed radiography (CR) mammography system subject to fixed-pattern noise [Internet]. Physics in Medicine and Biology. 2020 ; 65( 22): 1-12.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1088/1361-6560/abbb74
Artigo de periodico
Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging (2020)
Maciel, Jamilly Gomes; Araújo, Iana Mizumukai de; Trazzi, Lucio C.; Azevedo-Marques, Paulo Mazzoncini de ; Salmon, Carlos Ernesto Garrido ; Paula, Francisco Jose Albuquerque de ; Nogueira-Barbosa, Marcello Henrique
Source: Clinics. Unidades: FMRP, FFCLRP
Subjects: VÉRTEBRAS LOMBARES, IMAGEM DIGITAL, RESSONÂNCIA MAGNÉTICA, DENSIDADE ÓSSEA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACIEL, Jamilly Gomes et al. Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging. Clinics, v. 75, 2020Tradução . . Disponível em: https://doi.org/10.6061/clinics/2020/e1766. Acesso em: 09 jul. 2024.
APA
Maciel, J. G., Araújo, I. M. de, Trazzi, L. C., Azevedo-Marques, P. M. de, Salmon, C. E. G., Paula, F. J. A. de, & Nogueira-Barbosa, M. H. (2020). Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging. Clinics, 75. doi:10.6061/clinics/2020/e1766
NLM
Maciel JG, Araújo IM de, Trazzi LC, Azevedo-Marques PM de, Salmon CEG, Paula FJA de, Nogueira-Barbosa MH. Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging [Internet]. Clinics. 2020 ; 75[citado 2024 jul. 09 ] Available from: https://doi.org/10.6061/clinics/2020/e1766
Vancouver
Maciel JG, Araújo IM de, Trazzi LC, Azevedo-Marques PM de, Salmon CEG, Paula FJA de, Nogueira-Barbosa MH. Association of bone mineral density with bone texture attributes extracted using routine magnetic resonance imaging [Internet]. Clinics. 2020 ; 75[citado 2024 jul. 09 ] Available from: https://doi.org/10.6061/clinics/2020/e1766
Artigo de periodico
dp-BREATH: heat maps and probabilistic classification assisting the analysis of abnormal lung regions (2019)
Cazzolato, Mirela T; Scabora, Lucas de Carvalho; Nesso-Jr, Marcos R; Milano-Oliveira, Luis F; Costa, Alceu Ferraz; Kaster, Daniel Santos; Koenigkam-Santos, Marcel; Azevedo-Marques, Paulo Mazzoncini de ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Computer Methods and Programs in Biomedicine. Unidades: FMRP, ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, VISUALIZAÇÃO, PULMÃO, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAZZOLATO, Mirela T et al. dp-BREATH: heat maps and probabilistic classification assisting the analysis of abnormal lung regions. Computer Methods and Programs in Biomedicine, v. 173, p. 27-34, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2019.01.014. Acesso em: 09 jul. 2024.
APA
Cazzolato, M. T., Scabora, L. de C., Nesso-Jr, M. R., Milano-Oliveira, L. F., Costa, A. F., Kaster, D. S., et al. (2019). dp-BREATH: heat maps and probabilistic classification assisting the analysis of abnormal lung regions. Computer Methods and Programs in Biomedicine, 173, 27-34. doi:10.1016/j.cmpb.2019.01.014
NLM
Cazzolato MT, Scabora L de C, Nesso-Jr MR, Milano-Oliveira LF, Costa AF, Kaster DS, Koenigkam-Santos M, Azevedo-Marques PM de, Traina Junior C, Traina AJM. dp-BREATH: heat maps and probabilistic classification assisting the analysis of abnormal lung regions [Internet]. Computer Methods and Programs in Biomedicine. 2019 ; 173 27-34.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.cmpb.2019.01.014
Vancouver
Cazzolato MT, Scabora L de C, Nesso-Jr MR, Milano-Oliveira LF, Costa AF, Kaster DS, Koenigkam-Santos M, Azevedo-Marques PM de, Traina Junior C, Traina AJM. dp-BREATH: heat maps and probabilistic classification assisting the analysis of abnormal lung regions [Internet]. Computer Methods and Programs in Biomedicine. 2019 ; 173 27-34.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.cmpb.2019.01.014
Artigo de periodico
Radiomics-based features for pattern recognition of lung cancer histopathology and metastases (2018)
Ferreira Junior, José Raniery; Santos, Marcel Koenigkam; Cipriano, Federico Enrique Garcia; Fabro, Alexandre Todorovic; Azevedo-Marques, Paulo Mazzoncini de
Source: Computer Methods and Programs in Biomedicine. Unidade: FMRP
Subjects: NEOPLASIAS PULMONARES, METÁSTASE NEOPLÁSICA, RADIOTERAPIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA JUNIOR, José Raniery et al. Radiomics-based features for pattern recognition of lung cancer histopathology and metastases. Computer Methods and Programs in Biomedicine, v. 159, p. 23-30, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2018.02.015. Acesso em: 09 jul. 2024.
APA
Ferreira Junior, J. R., Santos, M. K., Cipriano, F. E. G., Fabro, A. T., & Azevedo-Marques, P. M. de. (2018). Radiomics-based features for pattern recognition of lung cancer histopathology and metastases. Computer Methods and Programs in Biomedicine, 159, 23-30. doi:10.1016/j.cmpb.2018.02.015
NLM
Ferreira Junior JR, Santos MK, Cipriano FEG, Fabro AT, Azevedo-Marques PM de. Radiomics-based features for pattern recognition of lung cancer histopathology and metastases [Internet]. Computer Methods and Programs in Biomedicine. 2018 ; 159 23-30.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.cmpb.2018.02.015
Vancouver
Ferreira Junior JR, Santos MK, Cipriano FEG, Fabro AT, Azevedo-Marques PM de. Radiomics-based features for pattern recognition of lung cancer histopathology and metastases [Internet]. Computer Methods and Programs in Biomedicine. 2018 ; 159 23-30.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.cmpb.2018.02.015
Artigo de periodico
Characterization of pulmonary nodules based on features of margin sharpness and texture (2018)
Ferreira Junior, José Raniery ; Oliveira, Marcelo Costa; Azevedo-Marques, Paulo Mazzoncini de
Source: Journal of Digital Imaging. Unidades: FMRP, BIOENGENHARIA
Subjects: NEOPLASIAS PULMONARES, IMAGEM DIGITAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA JUNIOR, José Raniery e OLIVEIRA, Marcelo Costa e AZEVEDO-MARQUES, Paulo Mazzoncini de. Characterization of pulmonary nodules based on features of margin sharpness and texture. Journal of Digital Imaging, v. 31, n. 4, p. 451-463, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10278-017-0029-8. Acesso em: 09 jul. 2024.
APA
Ferreira Junior, J. R., Oliveira, M. C., & Azevedo-Marques, P. M. de. (2018). Characterization of pulmonary nodules based on features of margin sharpness and texture. Journal of Digital Imaging, 31( 4), 451-463. doi:10.1007/s10278-017-0029-8
NLM
Ferreira Junior JR, Oliveira MC, Azevedo-Marques PM de. Characterization of pulmonary nodules based on features of margin sharpness and texture [Internet]. Journal of Digital Imaging. 2018 ; 31( 4): 451-463.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s10278-017-0029-8
Vancouver
Ferreira Junior JR, Oliveira MC, Azevedo-Marques PM de. Characterization of pulmonary nodules based on features of margin sharpness and texture [Internet]. Journal of Digital Imaging. 2018 ; 31( 4): 451-463.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s10278-017-0029-8
Artigo de periodico
An eHealth platform for the support of a Brazilian regional network of mental health care (eHealth-Interop): development of an interoperability platform for mental care integration (2018)
Miyoshi, Newton Shydeo Brandão; Marques, João Mazzoncini de Azevedo; Alves, Domingos; Azevedo-Marques, Paulo Mazzoncini de
Source: JMIR Mental Health. Unidade: FMRP
Subjects: SAÚDE MENTAL, INFORMAÇÃO EM SAÚDE, ASSISTÊNCIA À SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIYOSHI, Newton Shydeo Brandão et al. An eHealth platform for the support of a Brazilian regional network of mental health care (eHealth-Interop): development of an interoperability platform for mental care integration. JMIR Mental Health, v. 5, n. 4, p. e10129-1 - e10129-17, 2018Tradução . . Disponível em: https://doi.org/10.2196/10129. Acesso em: 09 jul. 2024.
APA
Miyoshi, N. S. B., Marques, J. M. de A., Alves, D., & Azevedo-Marques, P. M. de. (2018). An eHealth platform for the support of a Brazilian regional network of mental health care (eHealth-Interop): development of an interoperability platform for mental care integration. JMIR Mental Health, 5( 4), e10129-1 - e10129-17. doi:10.2196/10129
NLM
Miyoshi NSB, Marques JM de A, Alves D, Azevedo-Marques PM de. An eHealth platform for the support of a Brazilian regional network of mental health care (eHealth-Interop): development of an interoperability platform for mental care integration [Internet]. JMIR Mental Health. 2018 ; 5( 4): e10129-1 - e10129-17.[citado 2024 jul. 09 ] Available from: https://doi.org/10.2196/10129
Vancouver
Miyoshi NSB, Marques JM de A, Alves D, Azevedo-Marques PM de. An eHealth platform for the support of a Brazilian regional network of mental health care (eHealth-Interop): development of an interoperability platform for mental care integration [Internet]. JMIR Mental Health. 2018 ; 5( 4): e10129-1 - e10129-17.[citado 2024 jul. 09 ] Available from: https://doi.org/10.2196/10129
Trabalho de evento-resumo periodico
Computer-aided classification of inflammatory sacroiliitis in magnetic resonance imaging (2017)
Faleiros, M. Calil; Zavala, E. Jens Rivero; Ferreira Junior, J. Raniery; Dalton, V. Faeda; Assad, R. Luppino; Louzada Júnior, Paulo; Nogueira-Barbosa, Marcello Henrique; Azevedo-Marques, Paulo Mazzoncini de
Source: International Journal of Computer Assisted Radiology and Surgery. Conference titles: Congress of Computer Assisted Radiology and Surgery (CARS). Unidade: FMRP
Subjects: DIAGNÓSTICO POR COMPUTADOR, INFLAMAÇÃO, REUMATOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FALEIROS, M. Calil et al. Computer-aided classification of inflammatory sacroiliitis in magnetic resonance imaging. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s11548-017-1588-3. Acesso em: 09 jul. 2024. , 2017
APA
Faleiros, M. C., Zavala, E. J. R., Ferreira Junior, J. R., Dalton, V. F., Assad, R. L., Louzada Júnior, P., et al. (2017). Computer-aided classification of inflammatory sacroiliitis in magnetic resonance imaging. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/s11548-017-1588-3
NLM
Faleiros MC, Zavala EJR, Ferreira Junior JR, Dalton VF, Assad RL, Louzada Júnior P, Nogueira-Barbosa MH, Azevedo-Marques PM de. Computer-aided classification of inflammatory sacroiliitis in magnetic resonance imaging [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2017 ; 12 S154.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11548-017-1588-3
Vancouver
Faleiros MC, Zavala EJR, Ferreira Junior JR, Dalton VF, Assad RL, Louzada Júnior P, Nogueira-Barbosa MH, Azevedo-Marques PM de. Computer-aided classification of inflammatory sacroiliitis in magnetic resonance imaging [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2017 ; 12 S154.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11548-017-1588-3
Trabalho de evento-anais periodico
Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging (2017)
Faleiros, Matheus Calil; Ferreira Junior, José Raniery; Jens, Eddy Zavala; Dalto, Vitor Faeda; Nogueira-Barbosa, Marcello Henrique; Azevedo-Marques, Paulo Mazzoncini de
Source: Lecture Notes in Computational Vision and Biomechanics. Conference titles: European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS). Unidade: FMRP
Subjects: ARTRITE, DOENÇA CRÔNICA, RESSONÂNCIA MAGNÉTICA NUCLEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FALEIROS, Matheus Calil et al. Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging. Lecture Notes in Computational Vision and Biomechanics. Dordrecht: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-319-68195-5_69. Acesso em: 09 jul. 2024. , 2017
APA
Faleiros, M. C., Ferreira Junior, J. R., Jens, E. Z., Dalto, V. F., Nogueira-Barbosa, M. H., & Azevedo-Marques, P. M. de. (2017). Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging. Lecture Notes in Computational Vision and Biomechanics. Dordrecht: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/978-3-319-68195-5_69
NLM
Faleiros MC, Ferreira Junior JR, Jens EZ, Dalto VF, Nogueira-Barbosa MH, Azevedo-Marques PM de. Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging [Internet]. Lecture Notes in Computational Vision and Biomechanics. 2017 ; 27 639-644.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/978-3-319-68195-5_69
Vancouver
Faleiros MC, Ferreira Junior JR, Jens EZ, Dalto VF, Nogueira-Barbosa MH, Azevedo-Marques PM de. Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging [Internet]. Lecture Notes in Computational Vision and Biomechanics. 2017 ; 27 639-644.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/978-3-319-68195-5_69
Trabalho de evento
Development of a lightweight and adaptable clinical terminology server (2017)
Miyoshi, Newton Shydeo Brandão; Marques, João Mazzoncini de Azevedo; Alves, Domingos; Marques, Paulo Mazzoncini de Azevedo
Source: Annals. Conference titles: International Conference on Health and Social Care Information Systems and Technologies - HCist 2017. Unidade: FMRP
Subjects: TERMINOLOGIA CIENTÍFICA, ONTOLOGIA, WEB SITES, INFORMÁTICA MÉDICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIYOSHI, Newton Shydeo Brandão et al. Development of a lightweight and adaptable clinical terminology server. 2017, Anais.. Barcelona: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 2017. Disponível em: https://www.researchgate.net/publication/321168888_Development_of_a_Lightweight_and_Adaptable_Clinical_Terminology_Server. Acesso em: 09 jul. 2024.
APA
Miyoshi, N. S. B., Marques, J. M. de A., Alves, D., & Marques, P. M. de A. (2017). Development of a lightweight and adaptable clinical terminology server. In Annals. Barcelona: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Recuperado de https://www.researchgate.net/publication/321168888_Development_of_a_Lightweight_and_Adaptable_Clinical_Terminology_Server
NLM
Miyoshi NSB, Marques JM de A, Alves D, Marques PM de A. Development of a lightweight and adaptable clinical terminology server [Internet]. Annals. 2017 ;[citado 2024 jul. 09 ] Available from: https://www.researchgate.net/publication/321168888_Development_of_a_Lightweight_and_Adaptable_Clinical_Terminology_Server
Vancouver
Miyoshi NSB, Marques JM de A, Alves D, Marques PM de A. Development of a lightweight and adaptable clinical terminology server [Internet]. Annals. 2017 ;[citado 2024 jul. 09 ] Available from: https://www.researchgate.net/publication/321168888_Development_of_a_Lightweight_and_Adaptable_Clinical_Terminology_Server
Artigo de periodico
Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures (2017)
Casti, Paola; Mencattini, Arianna; Nogueira-Barbosa, Marcello Henrique; Pereira, Lucas Frighetto; Azevedo-Marques, Paulo Mazzoncini de; Martinelli, Eugenio; Di Natale, Corrado
Source: International Journal of Computer Assisted Radiology and Surgery. Unidade: FMRP
Subjects: IMAGEM POR RESSONÂNCIA MAGNÉTICA, FRATURAS, COLUNA VERTEBRAL, REPRODUTIBILIDADE DE RESULTADOS, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTI, Paola et al. Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures. International Journal of Computer Assisted Radiology and Surgery, v. 12, n. 11, p. 1971-1983, 2017Tradução . . Disponível em: https://doi.org/10.1007/s11548-017-1625-2. Acesso em: 09 jul. 2024.
APA
Casti, P., Mencattini, A., Nogueira-Barbosa, M. H., Pereira, L. F., Azevedo-Marques, P. M. de, Martinelli, E., & Di Natale, C. (2017). Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures. International Journal of Computer Assisted Radiology and Surgery, 12( 11), 1971-1983. doi:10.1007/s11548-017-1625-2
NLM
Casti P, Mencattini A, Nogueira-Barbosa MH, Pereira LF, Azevedo-Marques PM de, Martinelli E, Di Natale C. Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2017 ; 12( 11): 1971-1983.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11548-017-1625-2
Vancouver
Casti P, Mencattini A, Nogueira-Barbosa MH, Pereira LF, Azevedo-Marques PM de, Martinelli E, Di Natale C. Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2017 ; 12( 11): 1971-1983.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11548-017-1625-2
Trabalho de evento
Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging (2017)
Faleiros, Matheus Calil; Ferreira Junior, José Raniery; Jens, Eddy Zavala; Dalto, Vitor Faeda; Nogueira-Barbosa, Marcello Henrique; Azevedo-Marques, Paulo Mazzoncini de
Source: Proceedings of VipIMAGE2017. Conference titles: Thematic Conference on Computational Vision and Medical Image Processing (ECCOMAS). Unidade: FMRP
Subjects: ARTRITE, DOENÇA CRÔNICA, RESSONÂNCIA MAGNÉTICA NUCLEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FALEIROS, Matheus Calil et al. Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging. 2017, Anais.. Porto: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, 2017. Disponível em: https://doi.org/10.1007/978-3-319-68195-5_69. Acesso em: 09 jul. 2024.
APA
Faleiros, M. C., Ferreira Junior, J. R., Jens, E. Z., Dalto, V. F., Nogueira-Barbosa, M. H., & Azevedo-Marques, P. M. de. (2017). Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging. In Proceedings of VipIMAGE2017. Porto: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/978-3-319-68195-5_69
NLM
Faleiros MC, Ferreira Junior JR, Jens EZ, Dalto VF, Nogueira-Barbosa MH, Azevedo-Marques PM de. Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging [Internet]. Proceedings of VipIMAGE2017. 2017 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/978-3-319-68195-5_69
Vancouver
Faleiros MC, Ferreira Junior JR, Jens EZ, Dalto VF, Nogueira-Barbosa MH, Azevedo-Marques PM de. Pattern recognition of inflammatory sacroiliitis in magnetic resonance imaging [Internet]. Proceedings of VipIMAGE2017. 2017 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/978-3-319-68195-5_69
Artigo de periodico
Selecting relevant 3D image features of margin sharpness and texture for lung nodule retrieval (2017)
Ferreira Júnior, José Raniery; Azevedo-Marques, Paulo Mazzoncini de; Oliveira, Marcelo Costa
Source: International Journal of Computer Assisted Radiology and Surgery. Unidade: FMRP
Subjects: NEOPLASIAS PULMONARES, TOMOGRAFIA COMPUTADORIZADA POR RAIOS X, SISTEMAS COMPUTADORIZADOS DE REGISTROS MÉDICOS, DIAGNÓSTICO POR IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA JÚNIOR, José Raniery e AZEVEDO-MARQUES, Paulo Mazzoncini de e OLIVEIRA, Marcelo Costa. Selecting relevant 3D image features of margin sharpness and texture for lung nodule retrieval. International Journal of Computer Assisted Radiology and Surgery, v. 12, n. 3, p. 509-517, 2017Tradução . . Disponível em: https://doi.org/10.1007/s11548-016-1471-7. Acesso em: 09 jul. 2024.
APA
Ferreira Júnior, J. R., Azevedo-Marques, P. M. de, & Oliveira, M. C. (2017). Selecting relevant 3D image features of margin sharpness and texture for lung nodule retrieval. International Journal of Computer Assisted Radiology and Surgery, 12( 3), 509-517. doi:10.1007/s11548-016-1471-7
NLM
Ferreira Júnior JR, Azevedo-Marques PM de, Oliveira MC. Selecting relevant 3D image features of margin sharpness and texture for lung nodule retrieval [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2017 ; 12( 3): 509-517.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11548-016-1471-7
Vancouver
Ferreira Júnior JR, Azevedo-Marques PM de, Oliveira MC. Selecting relevant 3D image features of margin sharpness and texture for lung nodule retrieval [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2017 ; 12( 3): 509-517.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11548-016-1471-7
Trabalho de evento-resumo periodico
Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI (2017)
Casti, P.; Mencattini, A.; Nogueira-Barbosa, Marcello Henrique; Frighetto-Pereira, L; Azevedo-Marques, Paulo Mazzoncini de; Martinelli, E.; Di Natale, C.
Source: International Journal of Computer Assisted Radiology and Surgery. Conference titles: Congress of Computer Assisted Radiology and Surgery (CARS). Unidade: FMRP
Assunto: RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTI, P. et al. Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s11548-017-1588-3. Acesso em: 09 jul. 2024. , 2017
APA
Casti, P., Mencattini, A., Nogueira-Barbosa, M. H., Frighetto-Pereira, L., Azevedo-Marques, P. M. de, Martinelli, E., & Di Natale, C. (2017). Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/s11548-017-1588-3
NLM
Casti P, Mencattini A, Nogueira-Barbosa MH, Frighetto-Pereira L, Azevedo-Marques PM de, Martinelli E, Di Natale C. Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2017 ; 12 S153.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11548-017-1588-3
Vancouver
Casti P, Mencattini A, Nogueira-Barbosa MH, Frighetto-Pereira L, Azevedo-Marques PM de, Martinelli E, Di Natale C. Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2017 ; 12 S153.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11548-017-1588-3
Artigo de periodico
Integrating 3D image descriptors of margin sharpness and texture on a GPU-optimized similar pulmonary nodule retrieval engine (2017)
Ferreira Júnior, José Raniery; Oliveira, Marcelo Costa; Azevedo-Marques, Paulo Mazzoncini de
Source: The Journal of Supercomputing. Unidade: FMRP
Subjects: IMAGEM 3D, NEOPLASIAS PULMONARES, DIAGNÓSTICO POR IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA JÚNIOR, José Raniery e OLIVEIRA, Marcelo Costa e AZEVEDO-MARQUES, Paulo Mazzoncini de. Integrating 3D image descriptors of margin sharpness and texture on a GPU-optimized similar pulmonary nodule retrieval engine. The Journal of Supercomputing, v. 73, n. 8, p. 3451-3467, 2017Tradução . . Disponível em: https://doi.org/10.1007/s11227-016-1818-4. Acesso em: 09 jul. 2024.
APA
Ferreira Júnior, J. R., Oliveira, M. C., & Azevedo-Marques, P. M. de. (2017). Integrating 3D image descriptors of margin sharpness and texture on a GPU-optimized similar pulmonary nodule retrieval engine. The Journal of Supercomputing, 73( 8), 3451-3467. doi:10.1007/s11227-016-1818-4
NLM
Ferreira Júnior JR, Oliveira MC, Azevedo-Marques PM de. Integrating 3D image descriptors of margin sharpness and texture on a GPU-optimized similar pulmonary nodule retrieval engine [Internet]. The Journal of Supercomputing. 2017 ; 73( 8): 3451-3467.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11227-016-1818-4
Vancouver
Ferreira Júnior JR, Oliveira MC, Azevedo-Marques PM de. Integrating 3D image descriptors of margin sharpness and texture on a GPU-optimized similar pulmonary nodule retrieval engine [Internet]. The Journal of Supercomputing. 2017 ; 73( 8): 3451-3467.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1007/s11227-016-1818-4
Artigo de periodico
Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance (2016)
Frighetto-Pereira, Lucas; Rangayyan, Rangaraj Mandayam; Metzner, Guilherme Augusto; Azevedo-Marques, Paulo Mazzoncini de; Nogueira-Barbosa, Marcello Henrique
Source: Computers in Biology and Medicine. Unidade: FMRP
Subjects: DIAGNÓSTICO POR COMPUTADOR, PROCESSAMENTO DE IMAGENS, IMAGEM POR RESSONÂNCIA MAGNÉTICA, ANÁLISE ESTATÍSTICA DE DADOS, COLUNA VERTEBRAL, FRATURAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FRIGHETTO-PEREIRA, Lucas et al. Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance. Computers in Biology and Medicine, v. 73, p. 147-156, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2016.04.006. Acesso em: 09 jul. 2024.
APA
Frighetto-Pereira, L., Rangayyan, R. M., Metzner, G. A., Azevedo-Marques, P. M. de, & Nogueira-Barbosa, M. H. (2016). Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance. Computers in Biology and Medicine, 73, 147-156. doi:10.1016/j.compbiomed.2016.04.006
NLM
Frighetto-Pereira L, Rangayyan RM, Metzner GA, Azevedo-Marques PM de, Nogueira-Barbosa MH. Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance [Internet]. Computers in Biology and Medicine. 2016 ; 73 147-156.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.compbiomed.2016.04.006
Vancouver
Frighetto-Pereira L, Rangayyan RM, Metzner GA, Azevedo-Marques PM de, Nogueira-Barbosa MH. Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance [Internet]. Computers in Biology and Medicine. 2016 ; 73 147-156.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.compbiomed.2016.04.006
Trabalho de evento-resumo periodico
Panorama sobre os projetos e saúde no Brasil: oportunidades e barreiras para a implementação (2016)
Azevedo-Marques, Paulo Mazzoncini de
Source: Medicina. Conference titles: Congresso Brasileiro de Gerontecnologia. Unidade: FMRP
Subjects: TECNOLOGIAS DA SAÚDE, EQUIPAMENTOS DE AUTOAJUDA, TECNOLOGIA DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AZEVEDO-MARQUES, Paulo Mazzoncini de. Panorama sobre os projetos e saúde no Brasil: oportunidades e barreiras para a implementação. Medicina. Ribeirão Preto: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. . Acesso em: 09 jul. 2024. , 2016
APA
Azevedo-Marques, P. M. de. (2016). Panorama sobre os projetos e saúde no Brasil: oportunidades e barreiras para a implementação. Medicina. Ribeirão Preto: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo.
NLM
Azevedo-Marques PM de. Panorama sobre os projetos e saúde no Brasil: oportunidades e barreiras para a implementação. Medicina. 2016 ; 49 14-15.[citado 2024 jul. 09 ]
Vancouver
Azevedo-Marques PM de. Panorama sobre os projetos e saúde no Brasil: oportunidades e barreiras para a implementação. Medicina. 2016 ; 49 14-15.[citado 2024 jul. 09 ]
Artigo de periodico
Intraoral radiographs texture analysis for dental implant planning (2016)
Mundim, Mayara B. V.; Dias, Danilo R.; Costa, Ronaldo M.; Leles, Cláudio R.; Azevedo-Marques, Paulo Mazzoncini de; Ribeiro-Rotta, Rejane Faria
Source: Computer Methods and Programs in Biomedicine. Unidade: FMRP
Subjects: IMPLANTES DENTÁRIOS, DIAGNÓSTICO POR COMPUTADOR, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MUNDIM, Mayara B. V. et al. Intraoral radiographs texture analysis for dental implant planning. Computer Methods and Programs in Biomedicine, v. 136, p. 89-96, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2016.08.012. Acesso em: 09 jul. 2024.
APA
Mundim, M. B. V., Dias, D. R., Costa, R. M., Leles, C. R., Azevedo-Marques, P. M. de, & Ribeiro-Rotta, R. F. (2016). Intraoral radiographs texture analysis for dental implant planning. Computer Methods and Programs in Biomedicine, 136, 89-96. doi:10.1016/j.cmpb.2016.08.012
NLM
Mundim MBV, Dias DR, Costa RM, Leles CR, Azevedo-Marques PM de, Ribeiro-Rotta RF. Intraoral radiographs texture analysis for dental implant planning [Internet]. Computer Methods and Programs in Biomedicine. 2016 ; 136 89-96.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.cmpb.2016.08.012
Vancouver
Mundim MBV, Dias DR, Costa RM, Leles CR, Azevedo-Marques PM de, Ribeiro-Rotta RF. Intraoral radiographs texture analysis for dental implant planning [Internet]. Computer Methods and Programs in Biomedicine. 2016 ; 136 89-96.[citado 2024 jul. 09 ] Available from: https://doi.org/10.1016/j.cmpb.2016.08.012

USP Schools

ReP

Filtros

Document Types

USP Schools

Departament

Authors

USP affiliated authors

Date published

Subjects

Source title

Publisher

Conference titles

Countries/Territories

Funding Agencies

Indexado em

Normalized affiliation

Non normalized affiliation

Countries of institutions of collaboration