Timely treatment is essential in the management of glaucoma. However, subjective
assessment of visual field (VF) progression is not recommended, because it can be …

Purpose To test the hypothesis that visual field (VF) progression can be predicted from
baseline and longitudinal optical coherence tomography (OCT) structural measurements …

Purpose We constructed a multitask learning model (latent space linear regression and
deep learning [LSLR-DL]) in which the 2 tasks of cross-sectional predictions (using OCT) of …

Glaucoma is one of the most common reasons for blindness worldwide, especially in elderly
people. Glaucoma can be monitored using visual field (VF) tests. Therefore, predicting the …

Purpose: To visualize and quantify structural patterns of optic nerve edema encountered in
papilledema during treatment. Methods: A novel bi-channel deep-learning variational …

Glaucoma, which can cause irreversible damage to the sight of human eyes, is
conventionally diagnosed by visual field (VF) sensitivity. However, it is labor-intensive and …

High myopia (HM) is a leading cause of irreversible vision loss due to its association with
various ocular complications including myopic maculopathy (MM). Visual field (VF) …

High myopia significantly increases the risk of irreversible vision loss. Traditional perimetry-
based visual field (VF) assessment provides systematic quantification of visual loss but it is …

Purpose To investigate whether OCT measurements can improve visual field (VF) trend
analyses in glaucoma patients using the deeply regularized latent-space linear regression …

Glaucoma is a threatening eye disease that can cause blindness. It is common to use visual
field (VF) tests and optical coherence tomography (OCT) images for monitoring glaucoma …