Zobrazeno 1 - 10
of 172
pro vyhledávání: '"N. Urata"'
Autor:
Alessandro A. Jammal, Atalie C. Thompson, Nara G. Ogata, Eduardo B. Mariottoni, Carla N. Urata, Vital P. Costa, Felipe A. Medeiros
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Abstract In this study we developed a deep learning (DL) algorithm that detects errors in retinal never fibre layer (RNFL) segmentation on spectral-domain optical coherence tomography (SDOCT) B-scans using human grades as the reference standard. A da
Externí odkaz:
https://doaj.org/article/ff59cbf4e58c4006b56258a938b3adfb
Autor:
Felipe A. Medeiros, Tais Estrela, Alessandro A. Jammal, Samuel I. Berchuck, Carla N. Urata, Eduardo B. Mariottoni, Nara G. Ogata
Publikováno v:
Journal of Glaucoma. 29:872-877
PReCIS:: In this study, asymmetries in corneal hysteresis (CH) between eyes of glaucoma patients were significantly associated with asymmetries in rates of visual field loss, suggesting a role of hysteresis as a risk factor for disease progression. P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4555415a583ffdd5ba036aa90ea8429a
https://doi.org/10.1097/ijg.0000000000001625
https://doi.org/10.1097/ijg.0000000000001625
Autor:
Samuel I. Berchuck, Vital Paulino Costa, Felipe A. Medeiros, Tais Estrela, Atalie C. Thompson, Alessandro A. Jammal, Susan M. Wakil, Carla N. Urata, Eduardo B. Mariottoni
Publikováno v:
Am J Ophthalmol
To compare the diagnostic performance of human gradings vs predictions provided by a machine-to-machine (M2M) deep learning (DL) algorithm trained to quantify retinal nerve fiber layer (RNFL) damage on fundus photographs.Evaluation of a machine learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcb7252c104ff084d11ed89f1e463d69
https://doi.org/10.1016/j.ajo.2019.11.006
https://doi.org/10.1016/j.ajo.2019.11.006
Autor:
Samuel I. Berchuck, Eduardo B. Mariottoni, Nara G. Ogata, Atalie C. Thompson, Carla N. Urata, Felipe A. Medeiros, Tais Estrela, Alessandro A. Jammal
Publikováno v:
Am J Ophthalmol
PURPOSE: To assess short-term and long-term variability on standard automated perimetry (SAP) and spectral domain optical coherence tomography (SD-OCT) in glaucoma. DESIGN: Prospective cohort. METHODS: Ordinary least squares linear regression of SAP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29d06e0077c5a983bb5a5918fdac8a4c
https://doi.org/10.1016/j.ajo.2019.10.034
https://doi.org/10.1016/j.ajo.2019.10.034
Autor:
Alessandro A. Jammal, Eduardo B. Mariottoni, Felipe A. Medeiros, Samuel I. Berchuck, Carla N. Urata, Atalie C. Thompson, Tais Estrela
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
Scientific Reports
Scientific Reports
This study describes a segmentation-free deep learning (DL) algorithm for measuring retinal nerve fibre layer (RNFL) thickness on spectral-domain optical coherence tomography (SDOCT). The study included 25,285 B-scans from 1,338 eyes of 706 subjects.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89417c743dc9181a4d571b6dac7f9104
http://link.springer.com/article/10.1038/s41598-019-57196-y
http://link.springer.com/article/10.1038/s41598-019-57196-y
Akademický článek
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Akademický článek
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Autor:
Felipe A. Medeiros, Sanjay Asrani, Eduardo B. Mariottoni, Henry Tseng, Atalie C. Thompson, Alessandro A. Jammal, Carla N. Urata, Tais Estrela, Samuel I. Berchuck
Publikováno v:
American journal of ophthalmology. 222
To investigate rates of structural and functional change in a large clinical population of glaucoma and glaucoma suspect patients.Retrospective cohort.Twenty-nine thousand five hundred forty-eight spectral-domain optical coherence tomography (OCT) an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5df47eb674bd7803e9d3c0259a5ffe0
https://pubmed.ncbi.nlm.nih.gov/32450065
https://pubmed.ncbi.nlm.nih.gov/32450065
Autor:
Samuel I. Berchuck, Alessandro A. Jammal, Carla N. Urata, Atalie C. Thompson, Eduardo B. Mariottoni, Felipe A. Medeiros, Tais Estrela, Fábio B. Daga, Nara G. Ogata, Zhichao Wu
Publikováno v:
Ophthalmol Glaucoma
OBJECTIVE: The “rule of 5” is a simple rule for detecting retinal nerve fiber layer (RNFL) change on spectral-domain optical coherence tomography (SDOCT), in which a loss of 5μm of global RNFL on a follow-up test is considered evidence of signif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93000b39b75c518aaae0ba69987ac67f
https://pubmed.ncbi.nlm.nih.gov/32723699
https://pubmed.ncbi.nlm.nih.gov/32723699