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Arquivos Brasileiros De Oftalmologia
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November 9, 2022
An emergency room influx and trauma cases prediction in a Brazilian ophthalmological hospital by an ophthalmologist without code experience
Luis Filipe Nakayama, Lucas Zago Ribeiro, Caio Vinicius Saito Regatieri
Arquivos Brasileiros De Oftalmologia
|
July 20, 2022
Impact of SARS-CoV-2 pandemic on ophthalmological emergency visits: 1 year of experience
Lucas Zago Ribeiro, Luis Filipe Nakayama, Caio Vinicius Saito Regatieri
International Journal of Retina and Vitreous
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April 8, 2025
Artificial intelligence, data sharing, and privacy for retinal imaging under Brazilian Data Protection Law
Luis Filipe Nakayama, Lucas Zago Ribeiro, Fernando Korn Malerbi, et al.
Scientific Reports
|
May 6, 2024
Automated machine learning model for fundus image classification by health-care professionals with no coding experience
Lucas Zago Ribeiro, Luis Filipe Nakayama, Fernando Korn Malerbi, et al.
Retinal Cases & Brief Reports
|
April 17, 2026
MULTIMODAL IMAGING OF DIDANOSINE-RELATED RETINOPATHY
João Gabriel Alexander, Gustavo Albrecht Samico, Lucas Zago Ribeiro, et al.
Arquivos Brasileiros De Oftalmologia
|
May 11, 2022
Ophthalmology emergency department visits in a Brazilian tertiary hospital over the last 11 years: data analysis
Lucas Zago Ribeiro, Luis Filipe Nakayama, Vinicius Campos Bergamo, et al.
Physiological Measurement
|
January 9, 2025
Deep learning generalization for diabetic retinopathy staging from fundus images
Yevgeniy Men, Jonathan Fhima, Leo Anthony Celi, et al.
PLOS Digital Health
|
July 11, 2024
BRSET: A Brazilian Multilabel Ophthalmological Dataset of Retina Fundus Photos
Luis Filipe Nakayama, David Restrepo, João Matos, et al.
Medrxiv : the Preprint Server for Health Sciences
|
February 12, 2024
BRSET: A Brazilian Multilabel Ophthalmological Dataset of Retina Fundus Photos
Luis Filipe Nakayama, David Restrepo, João Matos, et al.
Journal of Medical Internet Research
|
June 22, 2023
Digital Education for the Deployment of Artificial Intelligence in Health Care
Fernando Korn Malerbi, Luis Filipe Nakayama, Robyn Gayle Dychiao, et al.
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Search research articles
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Showing results (1-10 of 25) with videos related to
Sort By:
Page
of 3
Arquivos Brasileiros De Oftalmologia
|
November 9, 2022
An emergency room influx and trauma cases prediction in a Brazilian ophthalmological hospital by an ophthalmologist without code experience
Luis Filipe Nakayama, Lucas Zago Ribeiro, Caio Vinicius Saito Regatieri
Arquivos Brasileiros De Oftalmologia
|
July 20, 2022
Impact of SARS-CoV-2 pandemic on ophthalmological emergency visits: 1 year of experience
Lucas Zago Ribeiro, Luis Filipe Nakayama, Caio Vinicius Saito Regatieri
International Journal of Retina and Vitreous
|
April 8, 2025
Artificial intelligence, data sharing, and privacy for retinal imaging under Brazilian Data Protection Law
Luis Filipe Nakayama, Lucas Zago Ribeiro, Fernando Korn Malerbi, et al.
Scientific Reports
|
May 6, 2024
Automated machine learning model for fundus image classification by health-care professionals with no coding experience
Lucas Zago Ribeiro, Luis Filipe Nakayama, Fernando Korn Malerbi, et al.
Retinal Cases & Brief Reports
|
April 17, 2026
MULTIMODAL IMAGING OF DIDANOSINE-RELATED RETINOPATHY
João Gabriel Alexander, Gustavo Albrecht Samico, Lucas Zago Ribeiro, et al.
Arquivos Brasileiros De Oftalmologia
|
May 11, 2022
Ophthalmology emergency department visits in a Brazilian tertiary hospital over the last 11 years: data analysis
Lucas Zago Ribeiro, Luis Filipe Nakayama, Vinicius Campos Bergamo, et al.
Physiological Measurement
|
January 9, 2025
Deep learning generalization for diabetic retinopathy staging from fundus images
Yevgeniy Men, Jonathan Fhima, Leo Anthony Celi, et al.
PLOS Digital Health
|
July 11, 2024
BRSET: A Brazilian Multilabel Ophthalmological Dataset of Retina Fundus Photos
Luis Filipe Nakayama, David Restrepo, João Matos, et al.
Medrxiv : the Preprint Server for Health Sciences
|
February 12, 2024
BRSET: A Brazilian Multilabel Ophthalmological Dataset of Retina Fundus Photos
Luis Filipe Nakayama, David Restrepo, João Matos, et al.
Journal of Medical Internet Research
|
June 22, 2023
Digital Education for the Deployment of Artificial Intelligence in Health Care
Fernando Korn Malerbi, Luis Filipe Nakayama, Robyn Gayle Dychiao, et al.
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