| 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 | 101 | 2016 |
| 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 | 79 | 2015 |
| 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 | 23 | 2018 |
| Automatic cephalometric x-ray landmark detection challenge 2014: A tree-based algorithm R Vandaele, R Marée, S JODOGNE, P Geurts ISBI, 2014 | 18 | 2014 |
| 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 | 9 | 2020 |
| 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 | 7 | 2016 |
| Machine Learning for Landmark Detection in Biomedical Applications R Vandaele Université de Liège, Liège, Belgique, 2018 | 2 | 2018 |
| 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 | 2 | 2017 |
| 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 | 2 | 2015 |
| 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 | 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 |
| 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: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021 | | 2021 |
| 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 | | 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 |
