Tavares Ivan M

Artificial Intelligence Mapping of Structure to Function in Glaucoma.

A CNN was capable of predicting SAP sensitivity thresholds from SDOCT RNFL thickness measurements and generate an SF map from simulated defects.

Deep Learning-Assisted Detection of Glaucoma Progression in Spectral-Domain OCT.

A DL model was able to assess the probability of glaucomatous structural progression from SD-OCT RNFL thickness measurements.

Effect of Blood Pressure on Rates of Progression in Focal Ischemic vs. Generalized Cup Enlargement Glaucoma Phenotypes.

Lower systemic BP levels were associated with faster RNFL thinning in the FI optic disc phenotype but not in the GE phenotype.

Hazard Detection During Simulated Driving in Glaucoma Patients.

RTs in response to hazardous driving situations were slower for glaucoma patients compared with controls.