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ARVO Annual Meeting Abstract June 2020

Kalman Filtering Based Machine Learning to Predict Future Mean Deviation Values for Patients with Glaucoma -- Enhancing Existing Models Using Data from Optical Coherence Tomography. A Study Using Data from ADAGES and DIGS.

Mohammad Zhalechian; Mark P Van Oyen; Mariel S Lavieri; Carlos Gustavo De Moraes; Christopher A Girkin; Massimo Antonio Fazio; Robert N Weinreb; Christopher Bowd; Jeffrey M Liebmann; Linda M Zangwill; Chris A Andrews; Joshua D Stein

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1986. doi:

ARVO Annual Meeting Abstract June 2017

Using Kalman Filtering to Personalize the Monitoring of Persons with Normal Tension Glaucoma

Mariel S Lavieri; Xiang Liu; Zhining Zhou; Jingyuan Wang; Kazuhisa Sugiyama; Koji Nitta; Chris Andrews; Mark Van Oyen; Joshua D Stein

Invest. Ophthalmol. Vis. Sci.. 2017; 58(8):2870. doi:

ARVO Annual Meeting Abstract April 2014

User Friendly Tool Using Kalman Filter Algorithms to Display Glaucoma Progression Indicators and Personalized Time to Next Test

Mariel S. Lavieri; Sam Devaprasad; Manqi Li; Greggory Schell; Pamela Martinez Villarreal; Jonathan E Helm; Mark Van Oyen; David C Musch; Joshua D Stein

Invest. Ophthalmol. Vis. Sci.. 2014; 55(13):5611. doi:

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