Raphaël Marée

Orcid: 0000-0002-9587-1954

Affiliations:
  • Université de Liège, Belgium


According to our database1, Raphaël Marée authored at least 25 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Shareish (Share & Cherish): an open-source, map-based, web platform to foster mutual aid.
Proceedings of the 11th International Conference on Communities and Technologies (C&T), Lahti, Finland, 29 May 2023, 2023

2022
Relieving Pixel-Wise Labeling Effort for Pathology Image Segmentation with Self-training.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Empirical Evaluation of Deep Learning Approaches for Landmark Detection in Fish Bioimages.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Multi-Task Pre-Training of Deep Neural Networks for Digital Pathology.
IEEE J. Biomed. Health Informatics, 2021

Bioimage analysis workflows: community resources to navigate through a complex ecosystem.
F1000Research, 2021

Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images.
Proceedings of the Computer Analysis of Images and Patterns, 2021

2020
BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows.
Patterns, 2020

2018
Comparison of Deep Transfer Learning Strategies for Digital Pathology.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Automated Multimodal Volume Registration based on Supervised 3D Anatomical Landmark Detection.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

2016
Towards generic image classification using tree-based learning: An extensive empirical study.
Pattern Recognit. Lett., 2016

Collaborative analysis of multi-gigapixel imaging data using Cytomine.
Bioinform., 2016

An approach for detection of glomeruli in multisite digital pathology.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge.
IEEE Trans. Medical Imaging, 2015

2014
A hybrid human-computer approach for large-scale image-based measurements using web services and machine learning.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2011
Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods.
Proceedings of the Pattern Recognition in Bioinformatics, 2011

2010
Incremental indexing and distributed image search using shared randomized vocabularies.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Biomedical Imaging Modality Classification Using Bags of Visual and Textual Terms with Extremely Randomized Trees: Report of ImageCLEF 2010 Experiments.
Proceedings of the CLEF 2010 LABs and Workshops, 2010

2009
Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees.
IPSJ Trans. Comput. Vis. Appl., 2009

Fast Multi-class Image Annotation with Random Subwindows and Multiple Output Randomized Trees.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

A machine learning approach for material detection in hyperspectral images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2006
Reinforcement Learning with Raw Image Pixels as Input State.
Proceedings of the Advances in Machine Vision, 2006

2005
Classification automatique d'images par arbres de d'ecision.
PhD thesis, 2005

Random Subwindows for Robust Image Classification.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Biomedical Image Classification with Random Subwindows and Decision Trees.
Proceedings of the Computer Vision for Biomedical Image Applications, 2005

2003
A Comparison of Generic Machine Learning Algorithms for Image Classification.
Proceedings of the Research and Development in Intelligent Systems XX, 2003


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