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ORCIDRaphaël Marée
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- affiliation: Université de Liège, Belgium
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2020 – today
- 2023
[c18]Adrien Guilliams
, Ulysse Rubens, Florent Banneux, Pierre Chapeau, Raphaël Marée:
Shareish (Share & Cherish): an open-source, map-based, web platform to foster mutual aid. C&T 2023: 238-251- 2022
- [c17]Navdeep Kumar, Claudia Di Biagio, Zachary Dellacqua, Ratish Raman, Arianna Martini, Clara Boglione, Marc Muller, Pierre Geurts, Raphaël Marée:
Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages. ECCV Workshops (4) 2022: 470-486 - [c16]Romain Mormont, Mehdi Testouri, Raphaël Marée, Pierre Geurts:
Relieving Pixel-Wise Labeling Effort for Pathology Image Segmentation with Self-training. ECCV Workshops (7) 2022: 577-592 - 2021
- [j6]Romain Mormont, Pierre Geurts, Raphaël Marée:
Multi-Task Pre-Training of Deep Neural Networks for Digital Pathology. IEEE J. Biomed. Health Informatics 25(2): 412-421 (2021) - [c15]Navdeep Kumar, Alessio Carletti, Paulo J. Gavaia, Marc Muller, M. Leonor Cancela, Pierre Geurts, Raphaël Marée:
Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images. CAIP (1) 2021: 154-164 - [i2]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:
Bioimage analysis workflows: community resources to navigate through a complex ecosystem. F1000Research 10: 320 (2021) - 2020
- [j5]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:
BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows. Patterns 1(3): 100040 (2020) - [i1]Romain Mormont, Pierre Geurts, Raphaël Marée:
Multi-task pre-training of deep neural networks for digital pathology. CoRR abs/2005.02561 (2020)
2010 – 2019
- 2018
- [c14]Romain Mormont, Pierre Geurts, Raphaël Marée:
Comparison of Deep Transfer Learning Strategies for Digital Pathology. CVPR Workshops 2018: 2262-2271 - 2017
- [c13]Remy Vandaele, François Lallemand, Philippe Martinive, Akos Gulyban, Sébastien Jodogne, Philippe Coucke, Pierre Geurts, Raphaël Marée:
Automated Multimodal Volume Registration based on Supervised 3D Anatomical Landmark Detection. VISIGRAPP (5: VISAPP) 2017: 333-340 - 2016
- [j4]Raphaël Marée, Loic Rollus, Benjamin Stevens, Renaud Hoyoux, Gilles Louppe, Remy Vandaele, Jean-Michel Begon, Philipp Kainz, Pierre Geurts, Louis Wehenkel:
Collaborative analysis of multi-gigapixel imaging data using Cytomine. Bioinform. 32(9): 1395-1401 (2016) - [j3]Raphaël Marée, Pierre Geurts, Louis Wehenkel:
Towards generic image classification using tree-based learning: An extensive empirical study. Pattern Recognit. Lett. 74: 17-23 (2016) - [c12]Raphaël Marée, Stephane Dallongeville, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid:
An approach for detection of glomeruli in multisite digital pathology. ISBI 2016: 1033-1036 - 2015
- [j2]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:
Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge. IEEE Trans. Medical Imaging 34(9): 1890-1900 (2015) - 2014
- [c11]Raphaël Marée, Loic Rollus, Benjamin Stevens, Gilles Louppe, Olivier Caubo, Natacha Rocks, Sandrine Bekaert, Didier Cataldo, Louis Wehenkel:
A hybrid human-computer approach for large-scale image-based measurements using web services and machine learning. ISBI 2014: 902-906 - 2011
- [c10]Olivier Stern, Raphaël Marée, Jessica Aceto, Nathalie Jeanray, Marc Muller, Louis Wehenkel, Pierre Geurts:
Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods. PRIB 2011: 179-190 - 2010
- [c9]Raphaël Marée, Olivier Stern, Pierre Geurts:
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) 2010 - [c8]Raphaël Marée, Philippe Denis, Louis Wehenkel, Pierre Geurts:
Incremental indexing and distributed image search using shared randomized vocabularies. Multimedia Information Retrieval 2010: 91-100
2000 – 2009
- 2009
- [j1]Raphaël Marée, Pierre Geurts, Louis Wehenkel:
Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees. IPSJ Trans. Comput. Vis. Appl. 1: 46-57 (2009) - [c7]Raphaël Marée, Benjamin Stevens, Pierre Geurts, Y. Guern, P. Mack:
A machine learning approach for material detection in hyperspectral images. CVPR Workshops 2009: 106-111 - [c6]Marie Dumont, Raphaël Marée, Louis Wehenkel, Pierre Geurts:
Fast Multi-class Image Annotation with Random Subwindows and Multiple Output Randomized Trees. VISAPP (2) 2009: 196-203 - 2007
- [c5]Raphaël Marée, Pierre Geurts, Louis Wehenkel:
Content-Based Image Retrieval by Indexing Random Subwindows with Randomized Trees. ACCV (2) 2007: 611-620 - 2006
- [c4]Damien Ernst, Raphaël Marée, Louis Wehenkel:
Reinforcement Learning with Raw Image Pixels as Input State. IWICPAS 2006: 446-454 - 2005
- [b1]Raphaël Marée:
Classification automatique d'images par arbres de d'ecision. University of Liège, Belgium, 2005 - [c3]Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel:
Biomedical Image Classification with Random Subwindows and Decision Trees. CVBIA 2005: 220-229 - [c2]Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel:
Random Subwindows for Robust Image Classification. CVPR (1) 2005: 34-40 - 2003
- [c1]Raphaël Marée, Pierre Geurts, Giorgio Visimberga, Justus H. Piater, Louis Wehenkel:
A Comparison of Generic Machine Learning Algorithms for Image Classification. SGAI Conf. 2003: 169-182
Coauthor Index
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