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Raphaël Marée
ORCID
Publication Activity (10 Years)
Years Active: 2003-2023
Publications (10 Years): 14
Top Topics
Transfer Learning
Landmark Detection
Grand Challenge
Deep Learning
Top Venues
ISBI
Bioinform.
ECCV Workshops (7)
CoRR
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Publications
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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)
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)
Romain Mormont
,
Mehdi Testouri
,
Raphaël Marée
,
Pierre Geurts
Relieving Pixel-Wise Labeling Effort for Pathology Image Segmentation with Self-training.
ECCV Workshops (7)
(2022)
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 (2021)
Romain Mormont
,
Pierre Geurts
,
Raphaël Marée
Multi-Task Pre-Training of Deep Neural Networks for Digital Pathology.
IEEE J. Biomed. Health Informatics
25 (2) (2021)
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)
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) (2020)
Romain Mormont
,
Pierre Geurts
,
Raphaël Marée
Multi-task pre-training of deep neural networks for digital pathology.
CoRR
(2020)
Romain Mormont
,
Pierre Geurts
,
Raphaël Marée
Comparison of Deep Transfer Learning Strategies for Digital Pathology.
CVPR Workshops
(2018)
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)
Raphaël Marée
,
Stephane Dallongeville
,
Jean-Christophe Olivo-Marin
,
Vannary Meas-Yedid
An approach for detection of glomeruli in multisite digital pathology.
ISBI
(2016)
Raphaël Marée
,
Pierre Geurts
,
Louis Wehenkel
Towards generic image classification using tree-based learning: An extensive empirical study.
Pattern Recognit. Lett.
74 (2016)
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) (2016)
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) (2015)
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)
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)
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)
Raphaël Marée
,
Philippe Denis
,
Louis Wehenkel
,
Pierre Geurts
Incremental indexing and distributed image search using shared randomized vocabularies.
Multimedia Information Retrieval
(2010)
Marie Dumont
,
Raphaël Marée
,
Louis Wehenkel
,
Pierre Geurts
Fast Multi-class Image Annotation with Random Subwindows and Multiple Output Randomized Trees.
VISAPP (2)
(2009)
Raphaël Marée
,
Pierre Geurts
,
Louis Wehenkel
Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees.
IPSJ Trans. Comput. Vis. Appl.
1 (2009)
Raphaël Marée
,
Benjamin Stevens
,
Pierre Geurts
,
Y. Guern
,
P. Mack
A machine learning approach for material detection in hyperspectral images.
CVPR Workshops
(2009)
Raphaël Marée
,
Pierre Geurts
,
Louis Wehenkel
Content-Based Image Retrieval by Indexing Random Subwindows with Randomized Trees.
ACCV (2)
(2007)
Damien Ernst
,
Raphaël Marée
,
Louis Wehenkel
Reinforcement Learning with Raw Image Pixels as Input State.
IWICPAS
(2006)
Raphaël Marée
,
Pierre Geurts
,
Justus H. Piater
,
Louis Wehenkel
Random Subwindows for Robust Image Classification.
CVPR (1)
(2005)
Raphaël Marée
,
Pierre Geurts
,
Justus H. Piater
,
Louis Wehenkel
Biomedical Image Classification with Random Subwindows and Decision Trees.
CVBIA
(2005)
Raphaël Marée
,
Pierre Geurts
,
Giorgio Visimberga
,
Justus H. Piater
,
Louis Wehenkel
A Comparison of Generic Machine Learning Algorithms for Image Classification.
SGAI Conf.
(2003)