| 2022 | ECCV | Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages. | Navdeep Kumar, Claudia Di Biagio, Zachary Dellacqua, Ratish Raman, Arianna Martini, Clara Boglione, Marc Muller, Pierre Geurts, Raphal Mare |
| 2022 | ECCV | Relieving Pixel-Wise Labeling Effort for Pathology Image Segmentation with Self-training. | Romain Mormont, Mehdi Testouri, Raphal Mare, Pierre Geurts |
| 2021 | CAIP | Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images. | Navdeep Kumar, Alessio Carletti, Paulo Jorge Gavaia, Marc Muller, M. Leonor Cancela, Pierre Geurts, Raphal Mare |
| 2018 | CVPR | Comparison of Deep Transfer Learning Strategies for Digital Pathology. | Romain Mormont, Pierre Geurts, Raphal Mare |
| 2009 | CVPR | A machine learning approach for material detection in hyperspectral images. | Raphal Mare, Benjamin Stevens, Pierre Geurts, Y. Guern, P. Mack |
| 2007 | ACCV | Content-Based Image Retrieval by Indexing Random Subwindows with Randomized Trees. | Raphal Mare, Pierre Geurts, Louis Wehenkel |
| 2005 | CVPR | Random Subwindows for Robust Image Classification. | Raphal Mare, Pierre Geurts, Justus H. Piater, Louis Wehenkel |
| 2003 | SGAI | A Comparison of Generic Machine Learning Algorithms for Image Classification. | Raphal Mare, Pierre Geurts, Giorgio Visimberga, Justus H. Piater, Louis Wehenkel |