Author

Samuel I. Berchuck

Duke UniversityORCID 0000-0001-5705-3144Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:trajectory inference· 1 Approach:variational autoencoder· 1

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Felipe Andrade MedeirosiD· 1 shared Sayan MukherjeeiD· 1 shared

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BioinformaticsScientific ReportsPeer-reviewedDec 2, 2019

Estimating Rates of Progression and Predicting Future Visual Fields in Glaucoma Using a Deep Variational Autoencoder

Samuel I. Berchuck, Sayan Mukherjee, Felipe Andrade Medeiros

This paper develops a deep variational autoencoder to estimate glaucoma progression rates and predict future visual field loss, showing improved performance compared to traditional methods.

76 citationstop 2%

deep learningvariational autoencoder

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