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Disambiguation of "Medeiros, Felipe A."

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RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure.

, , , , , and . CoRR, (2020)

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Felipe A Olivares Estay

Pilar Medeiros

António Medeiros

Hamilton Medeiros

Felipe Zambaldi

 

Other publications of authors with the same name

Learning from healthy and stable eyes: A new approach for detection of glaucomatous progression., , , , , and . Artif. Intell. Medicine, 64 (2): 105-115 (2015)Learning From Data: Recognizing Glaucomatous Defect Patterns and Detecting Progression From Visual Field Measurements., , , , , , , , and . IEEE Trans. Biomed. Eng., 61 (7): 2112-2124 (2014)Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images., , , , , , , , , and 10 other author(s). CoRR, (2018)Automated segmentation of anterior lamina cribrosa surface: How the lamina cribrosa responds to intraocular pressure change in glaucoma eyes?, , , , and . ISBI, page 222-225. IEEE, (2015)Augmenting VR/AR Applications with EEG/EOG Monitoring and Oculo-Vestibular Recoupling., , , , , , , , , and 5 other author(s). HCI (13), volume 9743 of Lecture Notes in Computer Science, page 121-131. Springer, (2016)RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure., , , , , and . CoRR, (2020)From Machine to Machine: An OCT-trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs., , and . CoRR, (2018)Recognizing patterns of visual field loss using unsupervised machine learning., , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90342M. SPIE, (2014)Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points., , , , , , , , , and . IEEE Trans. Biomed. Eng., 61 (4): 1143-1154 (2014)Assessing glaucoma in retinal fundus photographs using Deep Feature Consistent Variational Autoencoders., , and . CoRR, (2021)