A Comparison of Generic Machine Learning Algorithms for Image Classification. - Raphaël Marée; Pierre Geurts; Giorgio Visimberga; Justus H. Piater; Louis Wehenkel (SGAI Conf., 2003)

Biomedical Image Classification with Random Subwindows and Decision Trees. - Raphaël Marée; Pierre Geurts; Justus H. Piater; Louis Wehenkel (CVBIA, 2005)

Random Subwindows for Robust Image Classification. - Raphaël Marée; Pierre Geurts; Justus H. Piater; Louis Wehenkel (CVPR (1), 2005)

Classification automatique d'images par arbres de d'ecision. - Raphaël Marée (2005)

Reinforcement Learning with Raw Image Pixels as Input State. - Damien Ernst; Raphaël Marée; Louis Wehenkel (IWICPAS, 2006)

A machine learning approach for material detection in hyperspectral images. - Raphaël Marée; Benjamin Stevens; Pierre Geurts; Y. Guern; P. Mack (CVPR Workshops, 2009)

Fast Multi-class Image Annotation with Random Subwindows and Multiple Output Randomized Trees. - Marie Dumont; Raphaël Marée; Louis Wehenkel; Pierre Geurts (VISAPP (2), 2009)

Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees. - Raphaël Marée; Pierre Geurts; Louis Wehenkel (IPSJ Trans. Comput. Vis. Appl., 2009)

Biomedical Imaging Modality Classification Using Bags of Visual and Textual Terms with Extremely Randomized Trees: Report of ImageCLEF 2010 Experiments. - Raphaël Marée; Olivier Stern; Pierre Geurts (CLEF (Notebook Papers/LABs/Workshops), 2010)

Incremental indexing and distributed image search using shared randomized vocabularies. - Raphaël Marée; Philippe Denis; Louis Wehenkel; Pierre Geurts (Multimedia Information Retrieval, 2010)

Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods. - Olivier Stern; Raphaël Marée; Jessica Aceto; Nathalie Jeanray; Marc Muller; Louis Wehenkel; Pierre Geurts (PRIB, 2011)

A hybrid human-computer approach for large-scale image-based measurements using web services and machine learning. - Raphaël Marée; Loic Rollus; Benjamin Stevens; Gilles Louppe; Olivier Caubo; Natacha Rocks; Sandrine Bekaert; Didier Cataldo; Louis Wehenkel (ISBI, 2014)

Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge. - Ching-Wei Wang; Cheng-Ta Huang; Meng-Che Hsieh; Chung-Hsing Li; Sheng-Wei Chang; Wei-Cheng Li; Remy Vandaele; Raphaël Marée; Sébastien Jodogne; Pierre Geurts; Cheng Chen 022; Guoyan Zheng; et al. (IEEE Trans. Medical Imaging, 2015)

An approach for detection of glomeruli in multisite digital pathology. - Raphaël Marée; Stephane Dallongeville; Jean-Christophe Olivo-Marin; Vannary Meas-Yedid (ISBI, 2016)

Collaborative analysis of multi-gigapixel imaging data using Cytomine. - Raphaël Marée; Loic Rollus; Benjamin Stevens; Renaud Hoyoux; Gilles Louppe; Remy Vandaele; Jean-Michel Begon; Philipp Kainz; Pierre Geurts; Louis Wehenkel (Bioinform., 2016)

Towards generic image classification using tree-based learning: An extensive empirical study. - Raphaël Marée; Pierre Geurts; Louis Wehenkel (Pattern Recognit. Lett., 2016)

Automated Multimodal Volume Registration based on Supervised 3D Anatomical Landmark Detection. - Remy Vandaele; François Lallemand; Philippe Martinive; Akos Gulyban; Sébastien Jodogne; Philippe Coucke; Pierre Geurts; Raphaël Marée (VISIGRAPP (5: VISAPP), 2017)

Comparison of Deep Transfer Learning Strategies for Digital Pathology. - Romain Mormont; Pierre Geurts; Raphaël Marée (CVPR Workshops, 2018)

BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows. - Ulysse Rubens; Romain Mormont; Lassi Paavolainen; Volker Bäcker; Benjamin Pavie; Leandro A. Scholz; Gino Michiels; Martin Maska; Devrim Ünay; Graeme Ball; Renaud Hoyoux; Rémy Vandaele; et al. (Patterns, 2020)

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; Raphaël Marée (CAIP (1), 2021)

Bioimage analysis workflows: community resources to navigate through a complex ecosystem. - Perrine Paul-Gilloteaux; Sébastien Tosi; Jean-Karim Hériché; Alban Gaignard; Hervé Ménager; Raphaël Marée; Volker Bäcker; Anna H. Klemm; Matús Kalas; Chong Zhang; Kota Miura; Julien Colombelli (F1000Research, 2021)

Multi-Task Pre-Training of Deep Neural Networks for Digital Pathology. - Romain Mormont; Pierre Geurts; Raphaël Marée (IEEE J. Biomed. Health Informatics, 2021)

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; Raphaël Marée (ECCV Workshops (4), 2022)

Relieving Pixel-Wise Labeling Effort for Pathology Image Segmentation with Self-training. - Romain Mormont; Mehdi Testouri; Raphaël Marée; Pierre Geurts (ECCV Workshops (7), 2022)

Shareish (Share & Cherish): an open-source, map-based, web platform to foster mutual aid. - Adrien Guilliams; Ulysse Rubens; Florent Banneux; Pierre Chapeau; Raphaël Marée (C&T, 2023)