Raphaël Marée

28 papers Journal 9Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Challenging the Growth Narrative in and Through HCI. XRDS Vishal Sharma, Asra Sakeen Wani, Raphaël Marée, Christoph Becker, Douglas Schuler, Aparajita Marathe, Neha Kumar, Han Qiao, Rikke Hagensby Jensen, Anupriya Tuli
2023	—	`conf`	Shareish (Share & Cherish): an open-source, map-based, web platform to foster mutual aid. C&T Adrien Guilliams, Ulysse Rubens, Florent Banneux, Pierre Chapeau, Raphaël Marée
2022	—	`conf`	Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages. ECCV Workshops (4) Navdeep Kumar, Claudia Di Biagio, Zachary Dellacqua, Ratish Raman, Arianna Martini, Clara Boglione, Marc Muller, Pierre Geurts, Raphaël Marée
2022	—	`conf`	Relieving Pixel-Wise Labeling Effort for Pathology Image Segmentation with Self-training. ECCV Workshops (7) Romain Mormont, Mehdi Testouri, Raphaël Marée, Pierre Geurts
2021	J	`jnl`	Bioimage analysis workflows: community resources to navigate through a complex ecosystem. F1000Research 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
2021	—	`conf`	Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images. CAIP (1) Navdeep Kumar, Alessio Carletti, Paulo Jorge Gavaia, Marc Muller, M. Leonor Cancela, Pierre Geurts, Raphaël Marée
2021	J	`jnl`	Multi-Task Pre-Training of Deep Neural Networks for Digital Pathology. IEEE J. Biomed. Health Informatics Romain Mormont, Pierre Geurts, Raphaël Marée
2020	J	`jnl`	BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows. Patterns 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, Ofra Golani, Stefan G. Stanciu, Natasa Sladoje, Perrine Paul-Gilloteaux, Raphaël Marée, Sébastien Tosi
2020	J	`jnl`	Multi-task pre-training of deep neural networks for digital pathology. CoRR Romain Mormont, Pierre Geurts, Raphaël Marée
2018	—	`conf`	Comparison of Deep Transfer Learning Strategies for Digital Pathology. CVPR Workshops Romain Mormont, Pierre Geurts, Raphaël Marée
2017	—	`conf`	Automated Multimodal Volume Registration based on Supervised 3D Anatomical Landmark Detection. VISIGRAPP (5: VISAPP) Remy Vandaele, François Lallemand, Philippe Martinive, Akos Gulyban, Sébastien Jodogne, Philippe Coucke, Pierre Geurts, Raphaël Marée
2016	—	`conf`	An approach for detection of glomeruli in multisite digital pathology. ISBI Raphaël Marée, Stephane Dallongeville, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid
2016	J	`jnl`	Collaborative analysis of multi-gigapixel imaging data using Cytomine. Bioinform. Raphaël Marée, Loic Rollus, Benjamin Stevens, Renaud Hoyoux, Gilles Louppe, Remy Vandaele, Jean-Michel Begon, Philipp Kainz, Pierre Geurts, Louis Wehenkel
2016	J	`jnl`	Towards generic image classification using tree-based learning: An extensive empirical study. Pattern Recognit. Lett. Raphaël Marée, Pierre Geurts, Louis Wehenkel
2015	J	`jnl`	Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge. IEEE Trans. Medical Imaging 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, Guoyan Zheng, Chengwen Chu, Hengameh Mirzaalian, Ghassan Hamarneh, Tomaz Vrtovec, Bulat Ibragimov
2014	—	`conf`	A hybrid human-computer approach for large-scale image-based measurements using web services and machine learning. ISBI Raphaël Marée, Loic Rollus, Benjamin Stevens, Gilles Louppe, Olivier Caubo, Natacha Rocks, Sandrine Bekaert, Didier Cataldo, Louis Wehenkel
2011	—	`conf`	Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods. PRIB Olivier Stern, Raphaël Marée, Jessica Aceto, Nathalie Jeanray, Marc Muller, Louis Wehenkel, Pierre Geurts
2010	—	`conf`	Biomedical Imaging Modality Classification Using Bags of Visual and Textual Terms with Extremely Randomized Trees: Report of ImageCLEF 2010 Experiments. CLEF (Notebook Papers/LABs/Workshops) Raphaël Marée, Olivier Stern, Pierre Geurts
2010	—	`conf`	Incremental indexing and distributed image search using shared randomized vocabularies. Multimedia Information Retrieval Raphaël Marée, Philippe Denis, Louis Wehenkel, Pierre Geurts
2009	—	`conf`	A machine learning approach for material detection in hyperspectral images. CVPR Workshops Raphaël Marée, Benjamin Stevens, Pierre Geurts, Y. Guern, P. Mack
2009	J	`jnl`	Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees. IPSJ Trans. Comput. Vis. Appl. Raphaël Marée, Pierre Geurts, Louis Wehenkel
2009	—	`conf`	Fast Multi-class Image Annotation with Random Subwindows and Multiple Output Randomized Trees. VISAPP (2) Marie Dumont, Raphaël Marée, Louis Wehenkel, Pierre Geurts
2007	—	`conf`	Content-Based Image Retrieval by Indexing Random Subwindows with Randomized Trees. ACCV (2) Raphaël Marée, Pierre Geurts, Louis Wehenkel
2006	—	`conf`	Reinforcement Learning with Raw Image Pixels as Input State. IWICPAS Damien Ernst, Raphaël Marée, Louis Wehenkel
2005	—	`conf`	Biomedical Image Classification with Random Subwindows and Decision Trees. CVBIA Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel
2005	—	`—`	Classification automatique d'images par arbres de d'ecision. Raphaël Marée
2005	—	`conf`	Random Subwindows for Robust Image Classification. CVPR (1) Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel
2003	—	`conf`	A Comparison of Generic Machine Learning Algorithms for Image Classification. SGAI Conf. Raphaël Marée, Pierre Geurts, Giorgio Visimberga, Justus H. Piater, Louis Wehenkel