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 | 114 | 2019 |
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 | 98 | 2020 |
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 | 69* | 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 | 52 | 2021 |
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 | 22 | 2023 |
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 | 12* | 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 | 4 | 2021 |
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 | 2 | 2024 |
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 | 1 | 2023 |
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 J Cluceru, N Anegondi, SS Gao, AY Lee, EM Lad, U Chakravarthy, ... Cornea 13, 40, 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 |