Rémy Vandaele
Title
Cited by
Cited by
Year
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
922016
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
712015
Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach
R Vandaele, J Aceto, M Muller, F Peronnet, V Debat, CW Wang, ...
Scientific reports 8 (1), 1-13, 2018
192018
Automatic cephalometric x-ray landmark detection challenge 2014: A tree-based algorithm
R Vandaele, R Marée, S JODOGNE, P Geurts
ISBI, 2014
162014
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), 100040, 2020
72020
Cytomine: An open-source software for collaborative analysis of whole-slide images
R Marée, L Rollus, B Stévens, R Hoyoux, G Louppe, R Vandaele, ...
Diagnostic Pathology 1 (8), 2016
72016
Machine Learning for Landmark Detection in Biomedical Applications
R Vandaele
Université de Liège, Liège, Belgique, 2018
22018
Automated multimodal volume registration based on supervised 3d anatomical landmark detection
R Vandaele, F Lallemand, P Martinive, A Gulyban, S Jodogne, P Coucke, ...
SCITEPRESS Digital Library, 2017
22017
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
22015
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
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
12015
Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution treebased approach. Sci Rep 2018; 8 (1)
R Vandaele, J Aceto, M Muller, F Péronnet, V Debat, CW Wang, ...
1
Deep learning for the estimation of water-levels using river cameras
R Vandaele, SL Dance, V Ojha
Hydrology and Earth System Sciences Discussions, 1-29, 2021
2021
Automated water segmentation and river level detection on camera images using transfer learning
R Vandaele, SL Dance, V Ojha
Pattern Recognition 12544, 232, 2020
2020
Détection automatique de points d'intérêt sur des images 2D et 3D
R Vandaele
2016
Collaborative analysis of gigapixel images using Cytomine
R Marée, L Rollus, B Stévens, R Hoyoux, JM Begon, R Vandaele, ...
Acta Stereologica, 2015
2015
EP-1529: Automated landmarks detection for rigid registration between the simulation-CT and the treatment CBCT
R Vandaele, R Marée, P Coucke, E Lenaerts, A Gulyban, F Lallemand, ...
Radiotherapy and Oncology 115, S834-S835, 2015
2015
GIGA-Cancer: Image Registration for Radiotherapy
R Vandaele
2014
Automatic Landmark Detection in 2D images: A tree-based approach with multiresolution pixel features
R Vandaele, R Marée, S Jodogne, P Geurts
ULG, 2014
2014
Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge
RM Vandaele, S Jodogne, P Geurts, C Chen, G Zheng, B Ibragimov
2010
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Articles 1–20