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Medeiros FA 35
Showing records 1 to 25 | Display all abstracts from Medeiros FA84659 Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder
Berchuck SI
Scientific reports 2019; 9: 18113
84733 Sample Size Requirements of Glaucoma Clinical Trials When Using Combined Optical Coherence Tomography and Visual Field Endpoints
Wu Z
Scientific reports 2019; 9: 18886
84721 Psychometric properties of the Portuguese version of the National Eye Institute Visual Function Questionnaire-25
Abe RY
PLoS ONE 2019; 14: e0226086
84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Jammal AA
American Journal of Ophthalmology 2020; 211: 123-131
84527 Comparison of Short- And Long-Term Variability in Standard Perimetry and Spectral Domain Optical Coherence Tomography in Glaucoma
Urata CN
American Journal of Ophthalmology 2020; 210: 19-25
84659 Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder
Berchuck SI
Scientific reports 2019; 9: 18113
84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Thompson AC
American Journal of Ophthalmology 2020; 211: 123-131
84527 Comparison of Short- And Long-Term Variability in Standard Perimetry and Spectral Domain Optical Coherence Tomography in Glaucoma
Mariottoni EB
American Journal of Ophthalmology 2020; 210: 19-25
84659 Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder
Mukherjee S
Scientific reports 2019; 9: 18113
84721 Psychometric properties of the Portuguese version of the National Eye Institute Visual Function Questionnaire-25
Medeiros FA
PLoS ONE 2019; 14: e0226086
84733 Sample Size Requirements of Glaucoma Clinical Trials When Using Combined Optical Coherence Tomography and Visual Field Endpoints
Medeiros FA
Scientific reports 2019; 9: 18886
84527 Comparison of Short- And Long-Term Variability in Standard Perimetry and Spectral Domain Optical Coherence Tomography in Glaucoma
Mariottoni EB; Jammal AA
American Journal of Ophthalmology 2020; 210: 19-25
84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Mariottoni EB
American Journal of Ophthalmology 2020; 211: 123-131
84721 Psychometric properties of the Portuguese version of the National Eye Institute Visual Function Questionnaire-25
Davi MA
PLoS ONE 2019; 14: e0226086
84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Mariottoni EB
American Journal of Ophthalmology 2020; 211: 123-131
84659 Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder
Medeiros FA
Scientific reports 2019; 9: 18113
84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Berchuck SI
American Journal of Ophthalmology 2020; 211: 123-131
84721 Psychometric properties of the Portuguese version of the National Eye Institute Visual Function Questionnaire-25
Gonçalves C
PLoS ONE 2019; 14: e0226086
84527 Comparison of Short- And Long-Term Variability in Standard Perimetry and Spectral Domain Optical Coherence Tomography in Glaucoma
Ogata NG
American Journal of Ophthalmology 2020; 210: 19-25
84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Berchuck SI
American Journal of Ophthalmology 2020; 211: 123-131
84721 Psychometric properties of the Portuguese version of the National Eye Institute Visual Function Questionnaire-25
Bittencourt M
PLoS ONE 2019; 14: e0226086
84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Urata CN
American Journal of Ophthalmology 2020; 211: 123-131
84527 Comparison of Short- And Long-Term Variability in Standard Perimetry and Spectral Domain Optical Coherence Tomography in Glaucoma
Thompson AC
American Journal of Ophthalmology 2020; 210: 19-25
84721 Psychometric properties of the Portuguese version of the National Eye Institute Visual Function Questionnaire-25
Roque AB
PLoS ONE 2019; 14: e0226086
84550 Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs
Estrela T
American Journal of Ophthalmology 2020; 211: 123-131
