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

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

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

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)

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

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