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Ruben Hemelings
Ruben Hemelings
PhD, Singapore Eye Research Institute
Verified email at kuleuven.be
Title
Cited by
Cited by
Year
Artery–vein segmentation in fundus images using a fully convolutional network
R Hemelings, B Elen, I Stalmans, K Van Keer, P De Boever, MB Blaschko
Computerized Medical Imaging and Graphics 76, 101636, 2019
1112019
Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
R Hemelings, B Elen, J Barbosa-Breda, S Lemmens, M Meire, ...
Acta ophthalmologica 98 (1), e94-e100, 2020
962020
Deep learning on fundus images detects glaucoma beyond the optic disc
R Hemelings, B Elen, J Barbosa-Breda, MB Blaschko, P De Boever, ...
Scientific Reports 11, 20313, 2021
66*2021
Pathological myopia classification with simultaneous lesion segmentation using deep learning
R Hemelings, B Elen, MB Blaschko, J Jacob, I Stalmans, P De Boever
Computer Methods and Programs in Biomedicine 199, 105920, 2021
472021
A generalizable deep learning regression model for automated glaucoma screening from fundus images
R Hemelings, B Elen, AK Schuster, MB Blaschko, J Barbosa-Breda, ...
NPJ digital medicine 6 (1), 112, 2023
172023
Pointwise visual field estimation from optical coherence tomography in glaucoma using deep learning
R Hemelings, B Elen, J Barbosa-Breda, E Bellon, MB Blaschko, ...
Translational vision science & technology 11 (8), 22-22, 2022
10*2022
Convolutional neural network predicts visual field threshold values from optical coherence tomography scans
R Hemelings, B Elen, J Barbosa-Breda, MB Blaschko, P De Boever, ...
Investigative Ophthalmology & Visual Science 62 (8), 1022-1022, 2021
42021
Artificial intelligence for glaucoma: state of the art and future perspectives
RC Barão, R Hemelings, LA Pinto, M Pazos, I Stalmans
Current Opinion in Ophthalmology 35 (2), 104-110, 2024
12024
Predicting glaucomatous visual field progression from baseline fundus photos using deep learning
R Hemelings, DWK Wong, J Van Eijgen, J Chua, JB Breda, I Stalmans, ...
Investigative Ophthalmology & Visual Science 64 (8), 380-380, 2023
12023
Monitoring glaucoma progression from fundus photos using a novel deep learning-based trend analysis
R Hemelings, D Wong, J Barbosa-Breda, J Van Eijgen, ...
Investigative Ophthalmology & Visual Science 65 (7), 1633-1633, 2024
2024
A prototype protocol for evaluating the real‐world data set using a structured electronic health record in glaucoma
S Sulonen, S Leinonen, E Lehtonen, P Hujanen, A Vaajanen, U Syvänen, ...
Acta Ophthalmologica 102 (2), 216-227, 2024
2024
External testing of an established glaucoma screening AI on a glaucoma clinic population from Finland
R Hemelings, L Schmetterer, I Stalmans, A Tuulonen
Acta Ophthalmologica 102, 2024
2024
Translational Vision Science & Technology
TV More
Cornea 13, 3, 2024
2024
Deep learning on fundus images detects glaucoma beyond the optic disc (vol 11, 20313, 2021)
R Hemelings, B Elen, J Barbosa-Breda, MB Blaschko, P De Boever, ...
SCIENTIFIC REPORTS 13 (1), 2023
2023
Author Correction: Deep learning on fundus images detects glaucoma beyond the optic disc
R Hemelings, B Elen, J Barbosa-Breda, MB Blaschko, P De Boever, ...
Scientific Reports 13 (1), 21456, 2023
2023
On a quest for solutions
R Hemelings
Acta Ophthalmologica 100, 2022
2022
Pointwise visual field estimation from opposing macular optical coherence tomography B-scan pairings using a 2D convolutional neural network
R Hemelings, D Wong, J Chua, J Van Eijgen, E Christinaki, G Garhofer, ...
Investigative Ophthalmology & Visual Science 63 (7), 2016–A0457-2016–A0457, 2022
2022
Deep learning in glaucoma
R Hemelings
2021
Artificial intelligence in glaucoma: Assisted diagnosis and risk assessment
R Hemelings
Acta Ophthalmologica 97, 2019
2019
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Articles 1–19