2024

Vandaele, R. ORCID: https://orcid.org/0000-0002-0693-8011, Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2024) Deep learning for automated trash screen blockage detection using cameras: actionable information for flood risk management. Journal of Hydroinformatics, 26 (4). pp. 889-903. ISSN 1465-1734 doi: https://doi.org/10.2166/hydro.2024.013

Charlton-Perez, A. J. ORCID: https://orcid.org/0000-0001-8179-6220, Dacre, H. F. ORCID: https://orcid.org/0000-0003-4328-9126, Driscoll, S., Gray, S. L. ORCID: https://orcid.org/0000-0001-8658-362X, Harvey, B. ORCID: https://orcid.org/0000-0002-6510-8181, Harvey, N. J. ORCID: https://orcid.org/0000-0003-0973-5794, Hunt, K. M. R. ORCID: https://orcid.org/0000-0003-1480-3755, Lee, R. W. ORCID: https://orcid.org/0000-0002-1946-5559, Swaminathan, R. ORCID: https://orcid.org/0000-0001-5853-2673, Vandaele, R. and Volonté, A. ORCID: https://orcid.org/0000-0003-0278-952X (2024) Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán. npj Climate and Atmospheric Science, 7. 93. ISSN 2397-3722 doi: https://doi.org/10.1038/s41612-024-00638-w

2021

Vandaele, R., Dance, S. L. ORCID: https://orcid.org/0000-0003-1690-3338 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Deep learning for automated river-level monitoring through river camera images: an approach based on water segmentation and transfer learning. Hydrology and Earth System Sciences, 25 (8). pp. 4435-4453. ISSN 1027-5606 doi: https://doi.org/10.5194/hess-25-4435-2021

Vandaele, R., Dance, S. ORCID: https://orcid.org/0000-0003-1690-3338 and Ojha, V. ORCID: https://orcid.org/0000-0002-9256-1192 (2021) Automated water segmentation and river level detection on camera images using transfer learning. In: 42nd German Conference on Pattern Recognition (DAGM GCPR 2020), 28 Sep - 1 Oct 2020, pp. 232-245. doi: https://doi.org/10.1007/978-3-030-71278-5

2018

Vandaele, R., Aceto, J., Muller, M., Péronnet, F., Debat, V., Wang, C.-W., Huang, C.-T., Jodogne, S., Martineve, P., Geurts, P. and Marée, R. (2018) Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach. Scientific Reports, 8 (1). 538. ISSN 2045-2322 doi: https://doi.org/10.1038/s41598-017-18993-5

2017

Vandaele, R., Lallemand, F., Martineve, P., Gulyban, A., Jodogne, S., Geurts, P., Geurts, P. and Marée, R. (2017) Automated multimodal volume registration based on supervised 3D anatomical landmark detection. In: Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 27-1 Feb 2017, Porto, Portugal, pp. 333-340. (Volume 5)

2016

Marée, R., Rollus, L., Stévens, B., Hoyoux, R., Louppe, G., Vandaele, R., Begon, J.-M., Kainz, P., Geurts, P. and Wehenkel, L. (2016) Collaborative analysis of multi-gigapixel imaging data using Cytomine. Bioinformatics, 32 (9). pp. 1395-1401. ISSN 1460-2059 doi: https://doi.org/10.1093/bioinformatics/btw013

2015

Wang, C.-W., Huang, C.-T., Hsieh, M.-C., Li, C. H., Chang, S.-W., Li, W.-C., Vandaele, R., Marée, R., Jodogne, S., Geurts, P., Chen, C., Zheng, G., Chu, C., Mirzaalian, H., Hamarneh, G., Vrtovec, T. and Ibragimov, B. (2015) Evaluation and comparison of anatomical landmark detection methods for cephalometric X-Ray images: a grand challenge. IEEE Transactions on Medical Imaging, 34 (9). pp. 1890-1900. ISSN 1558-254X doi: https://doi.org/10.1109/TMI.2015.2412951