25 citations · 27 across the 3 of their papers we have counts for
3 papers
Assessing glaucoma in retinal fundus photographs using Deep Feature Consistent Variational Autoencoders
Sayan Mandal, Alessandro A. Jammal, Felipe A. Medeiros
One of the leading causes of blindness is glaucoma, which is challenging to detect since it remains asymptomatic until the symptoms are severe. Thus, diagnosis is usually possible…
RetiNerveNet: Using Recursive Deep Learning to Estimate Pointwise 24-2 Visual Field Data based on Retinal Structure
Shounak Datta, Eduardo B. Mariottoni, David Dov +3
Glaucoma is the leading cause of irreversible blindness in the world, affecting over 70 million people. The cumbersome Standard Automated Perimetry (SAP) test is most frequently us…
From Machine to Machine: An OCT-trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs
Felipe A. Medeiros, Alessandro A. Jammal, Atalie C. Thompson
Previous approaches using deep learning algorithms to classify glaucomatous damage on fundus photographs have been limited by the requirement for human labeling of a reference trai…