ReP USP - Resultado da busca

Artigo de periodico
Manual versus semiautomatic segmentation of soft-tissue sarcomas on magnetic resonance imaging: evaluation of similarity and comparison of segmentation times (2021)
Dionísio, Fernando Carrasco Ferreira; Oliveira, Larissa Santos; Hernandes, Mateus de Andrade; Engel, Edgard Eduard ; Azevedo-Marques, Paulo Mazzoncini de ; Nogueira-Barbosa, Marcello Henrique
Source: Radiologia Brasileira. Unidade: FMRP
Subjects: PROCESSAMENTO DE IMAGENS, SARCOMA, DIAGNÓSTICO POR IMAGEM, NEOPLASIAS DE TECIDOS MOLES, RESSONÂNCIA MAGNÉTICA, REPRODUTIBILIDADE DE RESULTADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DIONÍSIO, Fernando Carrasco Ferreira et al. Manual versus semiautomatic segmentation of soft-tissue sarcomas on magnetic resonance imaging: evaluation of similarity and comparison of segmentation times. Radiologia Brasileira, v. 54, n. 3, p. 155–164, 2021Tradução . . Disponível em: https://doi.org/10.1590/0100-3984.2020.0028. Acesso em: 04 nov. 2024.
APA
Dionísio, F. C. F., Oliveira, L. S., Hernandes, M. de A., Engel, E. E., Azevedo-Marques, P. M. de, & Nogueira-Barbosa, M. H. (2021). Manual versus semiautomatic segmentation of soft-tissue sarcomas on magnetic resonance imaging: evaluation of similarity and comparison of segmentation times. Radiologia Brasileira, 54( 3), 155–164. doi:10.1590/0100-3984.2020.0028
NLM
Dionísio FCF, Oliveira LS, Hernandes M de A, Engel EE, Azevedo-Marques PM de, Nogueira-Barbosa MH. Manual versus semiautomatic segmentation of soft-tissue sarcomas on magnetic resonance imaging: evaluation of similarity and comparison of segmentation times [Internet]. Radiologia Brasileira. 2021 ; 54( 3): 155–164.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1590/0100-3984.2020.0028
Vancouver
Dionísio FCF, Oliveira LS, Hernandes M de A, Engel EE, Azevedo-Marques PM de, Nogueira-Barbosa MH. Manual versus semiautomatic segmentation of soft-tissue sarcomas on magnetic resonance imaging: evaluation of similarity and comparison of segmentation times [Internet]. Radiologia Brasileira. 2021 ; 54( 3): 155–164.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1590/0100-3984.2020.0028
Artigo de periodico
The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine (2021)
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: Computers in Biology and Medicine. Unidades: FMRP, ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, TELEMEDICINA, ÚLCERA CUTÂNEA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAZZOLATO, Mirela Teixeira et al. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. Computers in Biology and Medicine, v. 134, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2021.104489. Acesso em: 04 nov. 2024.
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. (2021). The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. Computers in Biology and Medicine, 134, 1-17. doi:10.1016/j.compbiomed.2021.104489
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. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine [Internet]. Computers in Biology and Medicine. 2021 ; 134 1-17.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.compbiomed.2021.104489
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. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine [Internet]. Computers in Biology and Medicine. 2021 ; 134 1-17.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.compbiomed.2021.104489
Artigo de periodico
A superpixel-driven deep learning approach for the analysis of dermatological wounds (2020)
Blanco, Gustavo; Traina, Agma Juci Machado ; Traina Junior, Caetano ; Azevedo-Marques, Paulo Mazzoncini de ; Jorge, Ana Elisa Serafim ; Oliveira, Daniel de; Bêdo, Marcos Vinícius Naves
Source: Computer Methods and Programs in Biomedicine. Unidades: ICMC, FMRP
Subjects: PROCESSAMENTO DE IMAGENS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, ÚLCERA CUTÂNEA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BLANCO, Gustavo et al. A superpixel-driven deep learning approach for the analysis of dermatological wounds. Computer Methods and Programs in Biomedicine, v. 183, n. Ja 2020, p. 1-9, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cmpb.2019.105079. Acesso em: 04 nov. 2024.
APA
Blanco, G., Traina, A. J. M., Traina Junior, C., Azevedo-Marques, P. M. de, Jorge, A. E. S., Oliveira, D. de, & Bêdo, M. V. N. (2020). A superpixel-driven deep learning approach for the analysis of dermatological wounds. Computer Methods and Programs in Biomedicine, 183( Ja 2020), 1-9. doi:10.1016/j.cmpb.2019.105079
NLM
Blanco G, Traina AJM, Traina Junior C, Azevedo-Marques PM de, Jorge AES, Oliveira D de, Bêdo MVN. A superpixel-driven deep learning approach for the analysis of dermatological wounds [Internet]. Computer Methods and Programs in Biomedicine. 2020 ; 183( Ja 2020): 1-9.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.cmpb.2019.105079
Vancouver
Blanco G, Traina AJM, Traina Junior C, Azevedo-Marques PM de, Jorge AES, Oliveira D de, Bêdo MVN. A superpixel-driven deep learning approach for the analysis of dermatological wounds [Internet]. Computer Methods and Programs in Biomedicine. 2020 ; 183( Ja 2020): 1-9.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.cmpb.2019.105079
Trabalho de evento-anais periodico
Effect of denoising on the localization of microcalcification clusters in digital mammography (2020)
Borges, Lucas R; Caron, Renato F; Azevedo-Marques, Paulo Mazzoncini de ; Vieira, Marcelo Andrade da Costa
Source: Proceedings of the SPIE. Conference titles: International Workshop on Breast Imaging - IWBI. Unidades: EESC, FMRP
Subjects: MAMOGRAFIA, PROCESSAMENTO DE IMAGENS, IMAGEM DIGITAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BORGES, Lucas R et al. Effect of denoising on the localization of microcalcification clusters in digital mammography. Proceedings of the SPIE. Washington, DC: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: http://dx.doi.org/10.1117/12.2564316. Acesso em: 04 nov. 2024. , 2020
APA
Borges, L. R., Caron, R. F., Azevedo-Marques, P. M. de, & Vieira, M. A. da C. (2020). Effect of denoising on the localization of microcalcification clusters in digital mammography. Proceedings of the SPIE. Washington, DC: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1117/12.2564316
NLM
Borges LR, Caron RF, Azevedo-Marques PM de, Vieira MA da C. Effect of denoising on the localization of microcalcification clusters in digital mammography [Internet]. Proceedings of the SPIE. 2020 ; 11513[citado 2024 nov. 04 ] Available from: http://dx.doi.org/10.1117/12.2564316
Vancouver
Borges LR, Caron RF, Azevedo-Marques PM de, Vieira MA da C. Effect of denoising on the localization of microcalcification clusters in digital mammography [Internet]. Proceedings of the SPIE. 2020 ; 11513[citado 2024 nov. 04 ] Available from: http://dx.doi.org/10.1117/12.2564316
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 04 nov. 2024.
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 2024 nov. 04 ] 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 2024 nov. 04 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 04 nov. 2024.
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 2024 nov. 04 ] 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 2024 nov. 04 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 04 nov. 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 nov. 04 ] 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 nov. 04 ] Available from: https://doi.org/10.1109/CBMS.2019.00076
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: 04 nov. 2024.
APA
Ramos, J. da S., Cazzolato, M. T., Faiçal, B. S., Nogueira-Barbosa, M. H., Traina Junior, C., & Traina, A. J. M. (2019). 3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS.2019.00091
NLM
Ramos J da S, Cazzolato MT, Faiçal BS, Nogueira-Barbosa MH, Traina Junior C, Traina AJM. 3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging [Internet]. Proceedings. 2019 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/CBMS.2019.00091
Vancouver
Ramos J da S, Cazzolato MT, Faiçal BS, Nogueira-Barbosa MH, Traina Junior C, Traina AJM. 3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging [Internet]. Proceedings. 2019 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/CBMS.2019.00091
Artigo de periodico
Multimodal quantitative magnetic resonance imaging analysis with individualized postprocessing in patients with drug-resistant focal epilepsy and conventional visual inspection negative for epileptogenic lesions (2019)
Abud, Lucas Giansante; Velasco, Tonicarlo Rodrigues ; Salmon, Carlos Ernesto Garrido ; Sakamoto, Américo Ceiki; Abud, Thiago Giansante; Pessini, Rodrigo Antonio; Abud, Daniel Giansante ; Leite, João Pereira ; Santos, Antonio Carlos dos
Source: Clinics. Unidades: FMRP, FFCLRP
Subjects: EPILEPSIA, FÁRMACOS, RESSONÂNCIA MAGNÉTICA, IMAGEM MENTAL, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ABUD, Lucas Giansante et al. Multimodal quantitative magnetic resonance imaging analysis with individualized postprocessing in patients with drug-resistant focal epilepsy and conventional visual inspection negative for epileptogenic lesions. Clinics, v. 74, 2019Tradução . . Disponível em: https://doi.org/10.6061/clinics/2019/e908. Acesso em: 04 nov. 2024.
APA
Abud, L. G., Velasco, T. R., Salmon, C. E. G., Sakamoto, A. C., Abud, T. G., Pessini, R. A., et al. (2019). Multimodal quantitative magnetic resonance imaging analysis with individualized postprocessing in patients with drug-resistant focal epilepsy and conventional visual inspection negative for epileptogenic lesions. Clinics, 74. doi:10.6061/clinics/2019/e908
NLM
Abud LG, Velasco TR, Salmon CEG, Sakamoto AC, Abud TG, Pessini RA, Abud DG, Leite JP, Santos AC dos. Multimodal quantitative magnetic resonance imaging analysis with individualized postprocessing in patients with drug-resistant focal epilepsy and conventional visual inspection negative for epileptogenic lesions [Internet]. Clinics. 2019 ; 74[citado 2024 nov. 04 ] Available from: https://doi.org/10.6061/clinics/2019/e908
Vancouver
Abud LG, Velasco TR, Salmon CEG, Sakamoto AC, Abud TG, Pessini RA, Abud DG, Leite JP, Santos AC dos. Multimodal quantitative magnetic resonance imaging analysis with individualized postprocessing in patients with drug-resistant focal epilepsy and conventional visual inspection negative for epileptogenic lesions [Internet]. Clinics. 2019 ; 74[citado 2024 nov. 04 ] Available from: https://doi.org/10.6061/clinics/2019/e908
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: 04 nov. 2024.
APA
Ramos, J. S., Cazzolato, M. T., Faiçal, B. S., Linares, O. A. C., Barbosa, M. H. N., Traina Junior, C., & Traina, A. J. M. (2019). Fast and smart segmentation of paraspinal muscles in magnetic resonance imaging with CleverSeg. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI.2019.00019
NLM
Ramos JS, Cazzolato MT, Faiçal BS, Linares OAC, Barbosa MHN, Traina Junior C, Traina AJM. Fast and smart segmentation of paraspinal muscles in magnetic resonance imaging with CleverSeg [Internet]. Proceedings. 2019 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/SIBGRAPI.2019.00019
Vancouver
Ramos JS, Cazzolato MT, Faiçal BS, Linares OAC, Barbosa MHN, Traina Junior C, Traina AJM. Fast and smart segmentation of paraspinal muscles in magnetic resonance imaging with CleverSeg [Internet]. Proceedings. 2019 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/SIBGRAPI.2019.00019

USP Schools

ReP

Filtros

Departament

Authors

USP affiliated authors

Subjects

Source title

Conference titles

Funding Agencies

Indexado em

Non normalized affiliation