Klistorner Alexander

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.

Performance of iPad-based threshold perimetry in glaucoma and controls.

MRF perimetry, despite using a completely different test paradigm, shows good performance characteristics compared to HVF for detection of defects, correlation of global indices and regional mean threshold values.

Sex-Specific Effect of BDNF Val66Met Genotypes on the Progression of Open-Angle Glaucoma.

Our results suggested that carriage of Met allele reduces the rate of long-term OAG progression.

Optimizing the Detection of Preperimetric Glaucoma by Combining Structural and Functional Tests.

The LLA mfVEP test identified approximately 50.6% eyes with preperimetric glaucoma, which was significantly higher than other perimetric methods, and similar to HRT.