Shin Jonghoon

Visual Field Inference From Optical Coherence Tomography Using Deep Learning Algorithms: A Comparison Between Devices.

Our deep learning model estimated the VF 24-2 better with a wide field image of SS-OCT than did with retinal nerve fiber layer and ganglion cell-inner plexiform layer images of SD-OCT.

Diagnostic Ability of Macular Vessel Density in the Ganglion Cell-Inner Plexiform Layer on Optical Coherence Tomographic Angiography for Glaucoma.

The present study demonstrated that macular vessel density in the ganglion cell-IPL has a higher diagnostic ability and better correlation with functional damage in glaucoma than that in the superficial vascular plexus.

The effect of corneal biomechanical properties on rebound tonometer in patients with normal-tension glaucoma.

Since ICare is a convenient way to measure IOP, ICare is a reasonable option as an alternative tonometer in NTG patients.