ReP USP - Resultado da busca

Trabalho de evento-resumo periodico
Convolutional neural network performances in detecting keratoconus using color and grayscale corneal curvature maps in different architectures (2023)
Oliveira, Lucas Orlandi de ; Taguchi, Felipe Marques de Carvalho; Evangelista, Renato Feijó ; Mori, Edson Shizuo; Castro Neto, Jarbas Caiado de ; Siqueira, Wallace Chamon Alves de
Source: Investigative Ophthalmology and Visual Science. Conference titles: Annual Meeting of the Association-for-Research-in-Vision-and-Ophthalmology - ARVO. Unidade: IFSC
Subjects: CÓRNEA, DOENÇAS DEGENERATIVAS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Lucas Orlandi de et al. Convolutional neural network performances in detecting keratoconus using color and grayscale corneal curvature maps in different architectures. Investigative Ophthalmology and Visual Science. Rockville: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: https://iovs.arvojournals.org/article.aspx?articleid=2790744. Acesso em: 06 nov. 2024. , 2023
APA
Oliveira, L. O. de, Taguchi, F. M. de C., Evangelista, R. F., Mori, E. S., Castro Neto, J. C. de, & Siqueira, W. C. A. de. (2023). Convolutional neural network performances in detecting keratoconus using color and grayscale corneal curvature maps in different architectures. Investigative Ophthalmology and Visual Science. Rockville: Instituto de Física de São Carlos, Universidade de São Paulo. Recuperado de https://iovs.arvojournals.org/article.aspx?articleid=2790744
NLM
Oliveira LO de, Taguchi FM de C, Evangelista RF, Mori ES, Castro Neto JC de, Siqueira WCA de. Convolutional neural network performances in detecting keratoconus using color and grayscale corneal curvature maps in different architectures [Internet]. Investigative Ophthalmology and Visual Science. 2023 ; 64( 8):[citado 2024 nov. 06 ] Available from: https://iovs.arvojournals.org/article.aspx?articleid=2790744
Vancouver
Oliveira LO de, Taguchi FM de C, Evangelista RF, Mori ES, Castro Neto JC de, Siqueira WCA de. Convolutional neural network performances in detecting keratoconus using color and grayscale corneal curvature maps in different architectures [Internet]. Investigative Ophthalmology and Visual Science. 2023 ; 64( 8):[citado 2024 nov. 06 ] Available from: https://iovs.arvojournals.org/article.aspx?articleid=2790744
Trabalho de evento-resumo periodico
Convolutional neural networks for keratoconus detection in corneal curvature maps with and without compact convolutional transformer architecture (2023)
Taguchi, Felipe Marques de Carvalho; Oliveira, Lucas Orlandi de ; Evangelista, Renato Feijó ; Mori, Edson Shizuo; Castro Neto, Jarbas Caiado de ; Siqueira, Wallace Chamon Alves de
Source: Investigative Ophthalmology and Visual Science. Conference titles: Annual Meeting of the Association-for-Research-in-Vision-and-Ophthalmology - ARVO. Unidade: IFSC
Subjects: CÓRNEA, DOENÇAS DEGENERATIVAS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TAGUCHI, Felipe Marques de Carvalho et al. Convolutional neural networks for keratoconus detection in corneal curvature maps with and without compact convolutional transformer architecture. Investigative Ophthalmology and Visual Science. Rockville: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: https://iovs.arvojournals.org/article.aspx?articleid=2790874. Acesso em: 06 nov. 2024. , 2023
APA
Taguchi, F. M. de C., Oliveira, L. O. de, Evangelista, R. F., Mori, E. S., Castro Neto, J. C. de, & Siqueira, W. C. A. de. (2023). Convolutional neural networks for keratoconus detection in corneal curvature maps with and without compact convolutional transformer architecture. Investigative Ophthalmology and Visual Science. Rockville: Instituto de Física de São Carlos, Universidade de São Paulo. Recuperado de https://iovs.arvojournals.org/article.aspx?articleid=2790874
NLM
Taguchi FM de C, Oliveira LO de, Evangelista RF, Mori ES, Castro Neto JC de, Siqueira WCA de. Convolutional neural networks for keratoconus detection in corneal curvature maps with and without compact convolutional transformer architecture [Internet]. Investigative Ophthalmology and Visual Science. 2023 ; 64( 8):[citado 2024 nov. 06 ] Available from: https://iovs.arvojournals.org/article.aspx?articleid=2790874
Vancouver
Taguchi FM de C, Oliveira LO de, Evangelista RF, Mori ES, Castro Neto JC de, Siqueira WCA de. Convolutional neural networks for keratoconus detection in corneal curvature maps with and without compact convolutional transformer architecture [Internet]. Investigative Ophthalmology and Visual Science. 2023 ; 64( 8):[citado 2024 nov. 06 ] Available from: https://iovs.arvojournals.org/article.aspx?articleid=2790874
Artigo de periodico
Titanium powder 3D-printing technology for a novel keratoprosthesis in alkali-burned rabbits (2022)
Magalhães, Otavio de Azevedo; Alcantara, Rafael Jorge Alves de; Gomes, José Alvaro Pereira; Castro Neto, Jarbas Caiado de ; Schor, Paulo
Source: Translational Vision Science and Technology. Unidade: IFSC
Subjects: TITÂNIO, PRÓTESE, CÓRNEA, COELHOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAGALHÃES, Otavio de Azevedo et al. Titanium powder 3D-printing technology for a novel keratoprosthesis in alkali-burned rabbits. Translational Vision Science and Technology, v. 11, n. 8, p. 14-1-14-8, 2022Tradução . . Disponível em: https://doi.org/10.1167/tvst.11.8.14. Acesso em: 06 nov. 2024.
APA
Magalhães, O. de A., Alcantara, R. J. A. de, Gomes, J. A. P., Castro Neto, J. C. de, & Schor, P. (2022). Titanium powder 3D-printing technology for a novel keratoprosthesis in alkali-burned rabbits. Translational Vision Science and Technology, 11( 8), 14-1-14-8. doi:10.1167/tvst.11.8.14
NLM
Magalhães O de A, Alcantara RJA de, Gomes JAP, Castro Neto JC de, Schor P. Titanium powder 3D-printing technology for a novel keratoprosthesis in alkali-burned rabbits [Internet]. Translational Vision Science and Technology. 2022 ; 11( 8): 14-1-14-8.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1167/tvst.11.8.14
Vancouver
Magalhães O de A, Alcantara RJA de, Gomes JAP, Castro Neto JC de, Schor P. Titanium powder 3D-printing technology for a novel keratoprosthesis in alkali-burned rabbits [Internet]. Translational Vision Science and Technology. 2022 ; 11( 8): 14-1-14-8.[citado 2024 nov. 06 ] Available from: https://doi.org/10.1167/tvst.11.8.14
Trabalho de evento-resumo
Coefficient of repeatability of the ultrasonic corneal pachymetry of cadaver eyes (2015)
Sousa, Sidney Júlio de Faria e; Sampaio, Daniela; Vieira, Monike de Paula Gomes; Sobral, Regia Maria Gondim Ramos
Source: Abstracts. Conference titles: Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO). Unidade: FMRP
Assunto: CÓRNEA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUSA, Sidney Júlio de Faria e et al. Coefficient of repeatability of the ultrasonic corneal pachymetry of cadaver eyes. 2015, Anais.. Rockville: ARVO, 2015. Disponível em: http://iovs.arvojournals.org/article.aspx?articleid=2331276&resultClick=1. Acesso em: 06 nov. 2024.
APA
Sousa, S. J. de F. e, Sampaio, D., Vieira, M. de P. G., & Sobral, R. M. G. R. (2015). Coefficient of repeatability of the ultrasonic corneal pachymetry of cadaver eyes. In Abstracts. Rockville: ARVO. Recuperado de http://iovs.arvojournals.org/article.aspx?articleid=2331276&resultClick=1
NLM
Sousa SJ de F e, Sampaio D, Vieira M de PG, Sobral RMGR. Coefficient of repeatability of the ultrasonic corneal pachymetry of cadaver eyes [Internet]. Abstracts. 2015 ;[citado 2024 nov. 06 ] Available from: http://iovs.arvojournals.org/article.aspx?articleid=2331276&resultClick=1
Vancouver
Sousa SJ de F e, Sampaio D, Vieira M de PG, Sobral RMGR. Coefficient of repeatability of the ultrasonic corneal pachymetry of cadaver eyes [Internet]. Abstracts. 2015 ;[citado 2024 nov. 06 ] Available from: http://iovs.arvojournals.org/article.aspx?articleid=2331276&resultClick=1

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