QUATRESOOZ, P., Defaweux, V., Rollus, L., Stevens, B., Marée, R., Martin, V., Van de Poël, J.-F., Schaffer, P., Vincke, G., Wehenkel, L., & Verpoorten, D. (30 October 2014). HistoWeb - Transforming a professional bioimages platform into a learning tool for histology [Paper presentation]. E-Learning conference and celebration of the 30th anniversary of the Charter Saar Lor Lux Rhineland-Palatinate Wallony (Open and boundless – OER, MOOCs & Co. Opportunities for the Greater Region), Saarbrücken, Germany. |
Quatresooz, P., Defaweux, V., Rollus, L., Stevens, B., Marée, R., Martin, V., Lecomte, B., Van de Poël, J.-F., Schaffer, P., Wehenkel, L., & Verpoorten, D. (18 June 2014). Using a rich internet application to teach histology [Paper presentation]. 12th European Congress of Digital Pathology 2014. |
Marée, R., Rollus, L., Stevens, B., Louppe, G., Caubo, O., Rocks, N., Bekaert, S., Cataldo, D., & Wehenkel, L. (2014). A hybrid human-computer approach for large-scale image-based measurements using web services and machine learning. In Proceedings IEEE International Symposium on Biomedical Imaging. IEEE. doi:10.1109/isbi.2014.6868017 Peer reviewed |
Marée, R., Stevens, B., Rollus, L., Rocks, N., Moles Lopez, X., Salmon, I., Cataldo, D., & Wehenkel, L. (30 September 2013). A rich internet application for remote visualization and collaborative annotation of digital slide images in histology and cytology. Diagnostic Pathology, 8 (S1), 26. doi:10.1186/1746-1596-8-S1-S26 Peer Reviewed verified by ORBi |
Marée, R., Stevens, B., Rollus, L., Louppe, G., & Wehenkel, L. (October 2012). A rich internet application for remote visualization, collaborative annotation, and automated analysis of large-scale biomages [Poster presentation]. Turning Images to Knowledge: Large-Scale 3D Image Annotation, Management, and Visualization, Ashburn, United States. |
Stevens, B., Rollus, L., Wehenkel, L., & Marée, R. (02 November 2011). A web-based framework for visualization, annotation, and automatic exploitation of high-resolution bioimages using tree-based machine learning methods [Poster presentation]. 6th IAPR International Conference on Pattern Recognition in Bioinformatics, Delft, Netherlands. |