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Rémy Vandaele
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Collaborative analysis of multi-gigapixel imaging data using Cytomine
R Marée, L Rollus, B Stévens, R Hoyoux, G Louppe, R Vandaele, ...
Bioinformatics 32 (9), 1395-1401, 2016
1752016
Evaluation and comparison of anatomical landmark detection methods for cephalometric x-ray images: a grand challenge
CW Wang, CT Huang, MC Hsieh, CH Li, SW Chang, WC Li, R Vandaele, ...
IEEE transactions on medical imaging 34 (9), 1890-1900, 2015
1712015
Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach
R Vandaele, J Aceto, M Muller, F Péronnet, V Debat, CW Wang, ...
Scientific reports 8 (1), 538, 2018
422018
BIAFLOWS: A collaborative framework to reproducibly deploy and benchmark bioimage analysis workflows
U Rubens, R Mormont, L Paavolainen, V Bäcker, B Pavie, LA Scholz, ...
Patterns 1 (3), 2020
312020
Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning
R Vandaele, SL Dance, V Ojha
Hydrology and Earth System Sciences 25 (8), 4435-4453, 2021
302021
Automatic cephalometric x-ray landmark detection challenge 2014: A tree-based algorithm
R Vandaele, R Marée, S JODOGNE, P Geurts
ISBI, 2014
262014
Cytomine: An open-source software for collaborative analysis of whole-slide images
R Marée, L Rollus, B Stevens, R Hoyoux, G Louppe, R Vandaele, ...
Diagnostic Pathology 1 (8), 2016
172016
Transfer learning for instance segmentation of waste bottles using Mask R-CNN algorithm
P Jaikumar, R Vandaele, V Ojha
International Conference on Intelligent Systems Design and Applications, 140-149, 2020
92020
Automated water segmentation and river level detection on camera images using transfer learning
R Vandaele, SL Dance, V Ojha
DAGM German Conference on Pattern Recognition, 232-245, 2020
82020
Deep learning for the estimation of water-levels using river cameras
R Vandaele, SL Dance, V Ojha
Hydrology and Earth System Sciences Discussions 2021, 1-29, 2021
42021
Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach, Sci. Rep.-UK, 8, 1–13
R Vandaele, J Aceto, M Muller, F Péronnet, V Debat, CW Wang, ...
42018
Automated multimodal volume registration based on supervised 3d anatomical landmark detection
R Vandaele, F Lallemand, P Martinive, A Gulyban, S Jodogne, P Coucke, ...
12th International Conference on Computer Vision Theory and Applications …, 2017
42017
Biaflows: A collaborative framework to benchmark bioimage analysis workflows
U Rubens, R Mormont, V Baecker, G Michiels, L Paavolainen, G Ball, ...
32019
Automatic Cephalometric X-Ray Landmark Detection Challenge 2014: a machine learning tree-based approach
R Vandaele, R Marée, S Jodogne, P Geurts
14th International Congress for Stereology and Image AnalysisLiège, 2015
22015
Calibrated river-level estimation from river cameras using convolutional neural networks
R Vandaele, SL Dance, V Ojha
Environmental Data Science 2, e11, 2023
12023
Deep learning for the estimation of water-levels using river cameras: networks and datasets
R Vandaele, S Dance, V Ojha
University of Reading, 2021
12021
Machine Learning for Landmark Detection in Biomedical Applications
R Vandaele
ULiège-Université de Liège, 2018
12018
Automated landmark detection for rigid registration between the simulation CT and the treatment CBCT
R Vandaele, R Marée, P Coucke, A Gulyban, F Lallemand, P Geurts, ...
Acta Stereologica, 2015
12015
Comparison of deep learning approaches to monitor trash screen blockage from CCTV cameras
R Vandaele, SL Dance, V Ojha
EGU General Assembly Conference Abstracts, EGU-3928, 2023
2023
Trash screen blockage detection using cameras and deep learning: code and dataset
R Vandaele
University of Reading, 2023
2023
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Articles 1–20