Results 61 to 70 of about 238,742 (294)
, 2018 Optical coherence tomography (OCT) is commonly used to analyze retinal layers for assessment of ocular diseases. In this paper, we propose a method for retinal layer segmentation and quantification of uncertainty based on Bayesian deep learning.
A Carass +12 more
core +1 more source
MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru +13 more
wiley +1 more source
BMC Ophthalmology, 2019 Background Color fundus photography have been extensively used to explore the link between retinal morphology changes associated with various disease i.e. Diabetic Retinopathy, Glaucoma.
Aqsa Ajaz +4 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective We aimed to estimate the prevalence and cumulative incidence of hydroxychloroquine retinopathy (HCQ‐R) and its risk factors among patients receiving long‐term HCQ with rheumatic diseases through a systematic review and meta‐analysis of observational studies that used spectral‐domain optical coherence tomography (SD‐OCT) for screening ...
Narsis Daftarian +4 more
wiley +1 more source
Image Registration Based on Camera Calibration for Dual-Wavelength Retinal Oximetry
IEEE Access, 2019 Retinal images at 570nm and 600nm are simultaneously captured by retinal oximetry. However, there exists misalignment between the two images, which should be adjusted before they are used to analyze hemoglobin oxygen saturation (SO2).
Yong-Li Xian, Cong-Zheng Wang, Yun Dai
doaj +1 more source
DUNet: A deformable network for retinal vessel segmentation
, 2018 Automatic segmentation of retinal vessels in fundus images plays an important role in the diagnosis of some diseases such as diabetes and hypertension. In this paper, we propose Deformable U-Net (DUNet), which exploits the retinal vessels' local features
Chen, Qi +5 more
core +1 more source
Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection
, 2020 Visual artefacts of early diabetic retinopathy in retinal fundus images are usually small in size, inconspicuous, and scattered all over retina. Detecting diabetic retinopathy requires physicians to look at the whole image and fixate on some specific ...
Adrià Recasens +13 more
core +1 more source
Retinal image size in pseudophakia
Ophthalmic and Physiological Optics, 2021 AbstractPurposeApproaches are developed to determine relative retinal magnifications in anisometropic patients undergoing cataract surgery; these can be used to balance between full spectacle corrections with equal intraocular lens (IOL) powers and a pure IOL power correction.MethodsThe analysis started from the original and pseudophakic Navarro eye ...
David A Atchison, Jos J Rozema
openaire +4 more sources
Advanced Functional Materials, EarlyView.Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
High-speed adaptive optics line scan confocal retinal imaging for human eye. [PDF]
PLoS ONE, 2017 PURPOSE:Continuous and rapid eye movement causes significant intraframe distortion in adaptive optics high resolution retinal imaging. To minimize this artifact, we developed a high speed adaptive optics line scan confocal retinal imaging system. METHODS:
Jing Lu +3 more
doaj +1 more source