Bart Elen
Bart Elen
Principal deep learning research scientist at VITO Health
Verified email at - Homepage
Cited by
Cited by
Assessment of air quality microsensors versus reference methods: The EuNetAir joint exercise
C Borrego, AM Costa, J Ginja, M Amorim, M Coutinho, K Karatzas, ...
Atmospheric Environment 147, 246-263, 2016
The Aeroflex: a bicycle for mobile air quality measurements
B Elen, J Peters, M Van Poppel, N Bleux, J Theunis, M Reggente, ...
Sensors 13 (1), 221-240, 2012
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
Assessment of air quality microsensors versus reference methods: The EuNetAir Joint Exercise–Part II
C Borrego, J Ginja, M Coutinho, C Ribeiro, K Karatzas, T Sioumis, ...
Atmospheric Environment 193, 127-142, 2018
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
Health impact model for modal shift from car use to cycling or walking in Flanders: application to two bicycle highways
J Buekers, E Dons, B Elen, LI Panis
Journal of Transport & Health 2 (4), 549-562, 2015
Opportunistic mobile air pollution monitoring: a case study with city wardens in Antwerp
J Van den Bossche, J Theunis, B Elen, J Peters, D Botteldooren, ...
Atmospheric environment 141, 408-421, 2016
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 (1), 20313, 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
Age and sex affect deep learning prediction of cardiometabolic risk factors from retinal images
N Gerrits, B Elen, TV Craenendonck, D Triantafyllidou, IN Petropoulos, ...
Scientific reports 10 (1), 9432, 2020
Participatory patterns in an international air quality monitoring initiative
A SÓrbu, M Becker, S Caminiti, B De Baets, B Elen, L Francis, P Gravino, ...
PLOS one 10 (8), e0136763, 2015
The EveryAware SensorBox: a tool for community-based air quality monitoring
B Elen, J Theunis, S Ingarra, A Molino, J Van den Bossche, M Reggente, ...
Sensing a Changing World 156, 2012
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
Systematic comparison of heatmapping techniques in deep learning in the context of diabetic retinopathy lesion detection
T Van Craenendonck, B Elen, N Gerrits, P De Boever
Translational vision science & technology 9 (2), 64-64, 2020
Participatory air quality monitoring in urban environments: reconciling technological challenges and participation
J Theunis, J Peters, B Elen
Participatory sensing, opinions and collective awareness, 255-271, 2017
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
Artificial intelligence software for diabetic eye screening: diagnostic performance and impact of stratification
F Peeters, S Rommes, B Elen, N Gerrits, I Stalmans, J Jacob, P De Boever
Journal of Clinical Medicine 12 (4), 1408, 2023
A middleware pattern to support complex sensor network applications
B Elen, S Michiels, W Joosen, P Verbaeten
ACM SIGPLAN, 22-26, 2006
Convolutional neural network predicts visual field threshold values from optical coherence tomography scans
R Hemelings, B Elen, JB Breda, MB Blaschko, P De Boever, I Stalmans
Investigative Ophthalmology & Visual Science 62 (8), 1022-1022, 2021
Glaucoma detection beyond the optic disc: the importance of the peripapillary region using explainable deep learning
R Hemelings, B Elen, J Barbosa Breda, MB Blaschko, P De Boever, ...
arXiv e-prints, arXiv: 2103.11895, 2021
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