Ruben Hemelings

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Citazioni	412	412
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Bart ElenPrincipal deep learning research scientist at VITO HealthEmail verificata su vito.be
Patrick De BoeverHasselt University, Centre for Environmental SciencesEmail verificata su uhasselt.be
Matthew BlaschkoKU LeuvenEmail verificata su esat.kuleuven.be
Joao Barbosa BredaMD, PhD KU Leuven/University of PortoEmail verificata su kuleuven.be
Karel Van KeerOphthalmology department, University Hospitals LeuvenEmail verificata su uzleuven.be
Sayeh PourjavanOphthalmologist, Cliniques Universitaires Saint Luc, UCL,Email verificata su saintluc.uclouvain.be
Stefan NickelsThe German National Institute for state examinations in Medicine, Pharmacy and Psychotherapy (IMPP)Email verificata su impp.de
Andrew WhiteClinical Associate Professor, University of SydneyEmail verificata su sydney.edu.au
Norbert PfeifferProfessor für OphthalmologieEmail verificata su unimedizin-mainz.de
Alexander K. SchusterDepartment of Ophthalmology, University of Mainz, GermanyEmail verificata su uni-mainz.de
Leopold SchmettererMedical University of ViennaEmail verificata su meduniwien.ac.at
Damon W.K. WongSingapore Eye Research Institute / Nanyang Technological UniversityEmail verificata su seri.com.sg
Jacqueline Chua (BOptom, PhD, FAAO)Associate Professor at Duke-NUS Graduate Medical School, Singapore Eye Research InstituteEmail verificata su seri.com.sg
Abegão Pinto LVisual Sciences Study Center, Faculty of Medicine Lisbon UniversityEmail verificata su campus.ul.pt
Eirini ChristinakiBiomedical Sciences Group, Department of Neurosciences, Research Group Ophthalmology, KU LeuvenEmail verificata su kuleuven.be
Anu VaajanenOphthalmologist, eye surgeon, Tampere UniversityEmail verificata su fimnet.fi

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Ruben Hemelings

PhD, Singapore Eye Research Institute

Email verificata su kuleuven.be

Medical image analysis


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	118	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	109	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	74*	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	54	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	32	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	17*	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	3	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
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
Translational Vision Science & Technology MT Kuo, BWY Hsu, YS Lin, PC Fang, HJ Yu, YT Hsiao, VS Tseng, ... Cornea 12, 29, 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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