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ARVO Annual Meeting Abstract June 2025

Deep learning predicts future glaucoma progression using baseline color fundus photographs

Ruben Hemelings; Damon Wong; Ingeborg Stalmans; Leopold Schmetterer

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):855.

ARVO Annual Meeting Abstract June 2024

Monitoring glaucoma progression from fundus photos using a novel deep learning-based trend analysis

Ruben Hemelings; Damon Wong; João Barbosa-Breda; Jan Van Eijgen; Andrew Jr White; Hannele Uusitalo-Järvinen; Paul Mitchell; Anja Tuulonen; Ingeborg Stalmans; Leopold Schmetterer

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1633.

ARVO Annual Meeting Abstract June 2023

Predicting glaucomatous visual field progression from baseline fundus photos using deep learning

Ruben Hemelings; Damon W. K. Wong; Jan Van Eijgen; Jacqueline Chua; João Barbosa Breda; Ingeborg Stalmans; Leopold Schmetterer

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):380.

Artificial Intelligence August 2022

Pointwise Visual Field Estimation From Optical Coherence Tomography in Glaucoma Using Deep Learning

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Ruben Hemelings; Bart Elen; João Barbosa-Breda; Erwin Bellon; Matthew B. Blaschko; Patrick De Boever; Ingeborg Stalmans
TAGS: deep learning, glaucoma, optical coherence tomography, visual fields, scanning laser ophthalmoscopy
Trans. Vis. Sci. Tech.. 2022; 11(8):22. https://doi.org/10.1167/tvst.11.8.22

ARVO Annual Meeting Abstract June 2022

Pointwise visual field estimation from opposing macular optical coherence tomography B-scan pairings using a 2D convolutional neural network

Ruben Hemelings; Damon Wong; Jacqueline Chua; Jan Van Eijgen; Eirini Christinaki; Gerhard Garhofer; Leopold Schmetterer; Ingeborg Stalmans

Invest. Ophthalmol. Vis. Sci.. 2022; 63(7):2016 – A0457.

ARVO Annual Meeting Abstract June 2021

Convolutional neural network predicts visual field threshold values from optical coherence tomography scans

Ruben Hemelings; Bart Elen; João Barbosa Breda; Matthew B. Blaschko; Patrick De Boever; Ingeborg Stalmans

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1022.

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