Du Kelvin H

Deep Learning Estimation of 10-2 Visual Field Map Based on Macular Optical Coherence Tomography Angiography Measurements.

DL models enable the estimation of VF loss from OCTA images with high accuracy.

Short-Term Rates of Visual Field Change Predict Glaucoma Progression.

The initial 2-year rate of VF MD change predicts subsequent progression events based on FDA-consistent criteria in both early and moderate-to-advanced glaucoma eyes.

Deep Learning Estimation of 24-2 Visual Field Map From Optic Nerve Head Optical Coherence Tomography Angiography.

DL models from OCTA images demonstrated high accuracy in estimating 24-2 VF maps by leveraging information from ONH layers.

Number of macula optical coherence tomography scans needed to detect glaucoma progression.

Increasing the frequency of macular OCT testing to three times per year more sensitively detects progression compared with two times per year.

Relationship Between Retinal Oxygen Saturation and the Severity of Visual Field Damage in Glaucoma.

Retinal oximetry enabled the continuous quantitative measurement of retinal StO 2. Increased StO 2 was significantly associated with the severity of VF damage in patients with glaucoma.