Zemborain Zane Z

Optical Coherence Tomography Can Be Used to Assess Glaucomatous Optic Nerve Damage in Most Eyes With High Myopia.

For most eyes with high myopia, there is sufficient information in OCT scans to allow for accurate diagnosis of GON.

The OCT RNFL Probability Map and Artifacts Resembling Glaucomatous Damage.

Glaucoma-like artifacts on RNFL p-maps are relatively common and can masquerade as arcuate and/or widespread/temporal damage.

Strategies to Improve Convolutional Neural Network Generalizability and Reference Standards for Glaucoma Detection From OCT Scans.

CNN generalizability can be improved with data augmentation, multiple input image modalities, and training on images with confident ratings.

Reasons why OCT Global Circumpapillary Retinal Nerve Fiber Layer Thickness is a Poor Measure of Glaucomatous Progression.

Local defects and segmentation errors are the primary reasons for the poor performance of cpRNFL thickness G metric.

Improving the Detection of Glaucoma and Its Progression: A Topographical Approach.

Together, the RNF bundle model and the automated structure-function method should improve the power of topographical methods for detecting glaucoma and its progression.

A Topographic Comparison of OCT Minimum Rim Width (BMO-MRW) and Circumpapillary Retinal Nerve Fiber Layer (cRNFL) Thickness Measures in Eyes With or Suspected Glaucoma.

Although BMO-MRW and cRNFL measures agreed in the majority of hemidiscs, they still disagreed in over 25% of the EG hemidiscs.

Distinguishing Healthy From Glaucomatous Eyes With Optical Coherence Tomography Global Circumpapillary Retinal Nerve Fiber Thickness in the Bottom 5th Percentile.

Quantitative metrics can distinguish between most of the healthy and glaucomatous eyes with low global cpRNFL thickness. However, even the most successful metric, RMS cpRNFL, missed some glaucomatous eyes.