Egan Catherine

Automated Detection of Glaucoma With Interpretable Machine Learning Using Clinical Data and Multimodal Retinal Images.

The accuracy of our model suggests distinct sources of information in each imaging modality and in the different clinical and demographic variables.

Dynamic volume-rendered optical coherence tomography pupillometry.

This 3D pupillometry OCT assessment allows for quantitative measurements of pupil function, contractility and response to light.