Zangerl Barbara

A Deep Learning-Based Algorithm Identifies Glaucomatous Discs Using Monoscopic Fundus Photographs.

This study demonstrated that a deep learning-based algorithm can identify glaucomatous discs at high accuracy level using monoscopic fundus images.

Pattern Recognition Analysis Reveals Unique Contrast Sensitivity Isocontours Using Static Perimetry Thresholds Across the Visual Field.

Cluster analysis reveals statistically significant groups of test locations within the 30-2 test grid exhibiting the same age-related decline.

Consistency of Structure-Function Correlation Between Spatially Scaled Visual Field Stimuli and In Vivo OCT Ganglion Cell Counts.

Stimulus sizes within critical spatial summation area (GI-II) improved structure-function correlations in the central visual field.

Pattern Recognition Analysis of Age-Related Retinal Ganglion Cell Signatures in the Human Eye.

Pattern recognition successfully identified statistically separable macular areas that undergo a segmented linear reduction with age.

Implementing collaborative care for glaucoma patients and suspects in Australia.

Vision Impairment Provides New Insight Into Self-Motion Perception.

These findings strongly support the view that perceived self-motion is differentially influenced by peripheral versus central vision loss, and that patients with different visual field defects are oppositely biased when processing visual cues to self-motion…

Clinical model assisting with the collaborative care of glaucoma patients and suspects.

The investigated collaborative eye health-care model led to a substantial improvement in appropriate referrals of glaucoma patients to ophthalmologists and could be suitable for optimizing patient care and utilization of resources.