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Researcher
Ruben Hemelings
- Disciplines:Biomedical image processing
Affiliations
- Research Group Ophthalmology (Division)
Member
From16 Oct 2017 → Today
Publications
1 - 10 of 11
- A prototype protocol for evaluating the real-world data set using a structured electronic health record in glaucoma(2024)
Authors: Ruben Hemelings
Pages: 216 - 227 - Artificial intelligence for glaucoma: state of the art and future perspectives(2024)
Authors: Ruben Hemelings
Pages: 104 - 110 - Author Correction: Deep learning on fundus images detects glaucoma beyond the optic disc.(2023)
Authors: Ruben Hemelings, João Breda
Pages: 21456 - A generalizable deep learning regression model for automated glaucoma screening from fundus images(2023)
Authors: Ruben Hemelings, Matthew Blaschko, João Breda
- Predicting glaucomatous visual field progression from baseline fundus photos using deep learning(2023)
Authors: Ruben Hemelings, João Breda
- Pointwise Visual Field Estimation FromOptical Coherence Tomography in Glaucoma Using Deep Learning(2022)
Authors: Ruben Hemelings, João Breda, Matthew Blaschko, Ingeborg Stalmans
- Deep learning on fundus images detects glaucoma beyond the optic disc(2021)
Authors: Ruben Hemelings, João Breda, Matthew Blaschko, Ingeborg Stalmans
- Pathological myopia classification with simultaneous lesion segmentation using deep learning(2021)
Authors: Ruben Hemelings, Matthew Blaschko, Julie Jacob, Ingeborg Stalmans
- Pathological myopia classification with simultaneous lesion segmentation using deep learning(2020)
Authors: Ruben Hemelings, Bart Elen, Matthew Blaschko, Julie Jacob, Ingeborg Stalmans, Patrick De Boever
- Accurate prediction of glaucoma from color fundus images with a convolutional neural network that relies on active and transfer learning(2020)
Authors: Ruben Hemelings, Sophie Lemmens, Maarten Meire, Evelien Vandewalle, Matthew Blaschko, Ingeborg Stalmans
Pages: e94 - e100