3 papers
eess.IV2024
Self-supervised denoising of visual field data improves detection of glaucoma progression
Sean Wu, Jun Yu Chen, Vahid Mohammadzadeh +6
Perimetric measurements provide insight into a patient's peripheral vision and day-to-day functioning and are the main outcome measure for identifying progression of visual damage…
stat.AP2023
A Spatially Varying Hierarchical Random Effects Model for Longitudinal Macular Structural Data in Glaucoma Patients
Erica Su, Robert E. Weiss, Kouros Nouri-Mahdavi +1
We model longitudinal macular thickness measurements to monitor the course of glaucoma and prevent vision loss due to disease progression. The macular thickness varies over a 6$\ti…
eess.IV2020
Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography
Osama N. Hassan, Serhat Sahin, Vahid Mohammadzadeh +9
The estimation of glaucoma progression is a challenging task as the rate of disease progression varies among individuals in addition to other factors such as measurement variabilit…