| 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 | 256 | 2015 |
| 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 | 224 | 2016 |
| 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 | 84 | 2021 |
| Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán AJ Charlton-Perez, HF Dacre, S Driscoll, SL Gray, B Harvey, NJ Harvey, ... npj Climate and Atmospheric Science 7 (1), 93, 2024 | 77 | 2024 |
| 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 | 55 | 2018 |
| 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 | 47 | 2020 |
| Automatic cephalometric x-ray landmark detection challenge 2014: A tree-based algorithm R Vandaele, R Marée, S JODOGNE, P Geurts ISBI, 2014 | 32 | 2014 |
| 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 | 23 | 2020 |
| 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 | 22 | 2016 |
| 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 | 18 | 2020 |
| Calibrated river-level estimation from river cameras using convolutional neural networks R Vandaele, SL Dance, V Ojha Environmental Data Science 2, e11, 2023 | 16 | 2023 |
| 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, ... | 6 | 2018 |
| Deep learning for automated trash screen blockage detection using cameras: Actionable information for flood risk management R Vandaele, SL Dance, V Ojha Journal of Hydroinformatics 26 (4), 889-903, 2024 | 4 | 2024 |
| 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 | 4 | 2017 |
| Biaflows: A collaborative framework to benchmark bioimage analysis workflows U Rubens, R Mormont, V Baecker, G Michiels, L Paavolainen, G Ball, ... | 3 | 2019 |
| Automatic Cephalometric X-Ray Landmark Detection Challenge 2014: a machine learning tree-based approach R Vandaele, R Marée, S Jodogne, P Geurts Proceedings of the 14th International Congress for Stereology and Image …, 2015 | 2 | 2015 |
| Deep learning for the estimation of water-levels using river cameras: networks and datasets R Vandaele, S Dance, V Ojha University of Reading, 2021 | 1 | 2021 |
| Machine Learning for Landmark Detection in Biomedical Applications R Vandaele PQDT-Global, 2019 | 1 | 2019 |
| 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 | 1 | 2015 |
| A Sentinel-3 foundation model for ocean colour G Dawson, R Vandaele, A Taylor, D Moffat, H Tamura-Wicks, S Jackson, ... arXiv preprint arXiv:2509.21273, 2025 | | 2025 |
