Raphaël Marée

发表

Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2007, IPSJ Trans. Comput. Vis. Appl..

The Need for Careful Data Collection for Pattern Recognition in Digital Pathology

Raphaël Marée, R. Marée, 2017, Journal of pathology informatics.

A Comparison of Generic Machine Learning Algorithms for Image Classification

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2003, SGAI Conf..

Collaborative analysis of gigapixel images using Cytomine

Gilles Louppe, Raphaël Marée, Pierre Geurts, 2015 .

HistoWeb - Transforming a professional bioimages platform into a learning tool for histology

Raphaël Marée, Louis Wehenkel, Dominique Verpoorten, 2014 .

A rich internet application for remote visualization and collaborative annotation of digital slides in histology and cytology

Raphaël Marée, Louis Wehenkel, Isabelle Salmon, 2013, Diagnostic Pathology.

Content-based Image Retrieval by Indexing Random Subwindows with Randomized Trees

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2009, IPSJ Trans. Comput. Vis. Appl..

A generic approach for image classification based on decision tree ensembles and local sub-windows

Raphaël Marée, Louis Wehenkel, Justus Piater, 2004 .

Towards generic image classification using tree-based learning: An extensive empirical study

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2016, Pattern Recognit. Lett..

Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach

Raphaël Marée, Pierre Geurts, Sébastien Jodogne, 2018, Scientific Reports.

Automatic Cephalometric X-Ray Landmark Detection Challenge 2014: A tree-based algorithm

Raphaël Marée, Sébastien Jodogne, Pierre Geurts, 2014 .

Open Practices and Resources for Collaborative Digital Pathology

Raphaël Marée, R. Marée, 2019, Front. Med..

Cytomine: Toward an Open and Collaborative Software Platform for Digital Pathology Bridged to Molecular Investigations

Raphaël Marée, Laurent Vanosmael, Renaud Hoyoux, 2018, Proteomics. Clinical applications.

Using a rich internet application to teach histology

Raphaël Marée, Louis Wehenkel, Dominique Verpoorten, 2014 .

Incremental indexing and distributed image search using shared randomized vocabularies

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2010, MIR '10.

Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge

Chengwen Chu, Guoyan Zheng, Ghassan Hamarneh, 2015, IEEE Transactions on Medical Imaging.

Radar classification based on extra-trees

Raphaël Marée, Louis Wehenkel, Jacques Verly, 2010 .

A hybrid human-computer approach for large-scale image-based measurements using web services and machine learning

Gilles Louppe, Raphaël Marée, Louis Wehenkel, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Collaborative analysis of multi-gigapixel imaging data using Cytomine

Gilles Louppe, Raphaël Marée, Pierre Geurts, 2016, Bioinform..

SEMI-AUTOMATIC QUANTIFICATION OF MRNA EXPRESSION IN WHOLE-SLIDE TISSUE IMAGES

Raphaël Marée, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid, 2016 .

Biological Image Classification with Random Subwindows and Extra-Trees

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2006 .

SLDC: an open-source workflow for object detection in multi-gigapixel images

Raphaël Marée, Renaud Hoyoux, Jean-Michel Begon, 2016 .

Extremely Randomized Trees and Random Subwindows for Image Classification, Annotation, and Retrieval

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2013 .

Reinforcement Learning with Raw Image Pixels as Input State

Raphaël Marée, Louis Wehenkel, Damien Ernst, 2006, IWICPAS.

Segment and combine: a generic approach for supervised learning of invariant classifiers from topologically structured data

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2006 .

Biomedical Imaging Modality Classification Using Bags of Visual and Textual Terms with Extremely Randomized Trees: Report of ImageCLEF 2010 Experiments

Raphaël Marée, Pierre Geurts, Olivier Stern, 2010, CLEF.

Decision Trees and Random Subwindows for Object Recognition

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2005 .

Random Subwindows and Randomized Trees for Image Retrieval, Classification, and Annotation

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2007 .

Remote Visualization, Collaborative Annotation, and Automated Analysis of High-Resolution Bioimages Through Internet

Raphaël Marée, Louis Wehenkel, Loïc Rollus, 2012 .

Biomedical Image Classification with Random Subwindows and Decision Trees

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2005, CVBIA.

Reinforcement learning with raw image pixels as state input

Raphaël Marée, Louis Wehenkel, Damien Ernst, 2006 .

A machine learning approach for material detection in hyperspectral images

Raphaël Marée, Pierre Geurts, Benjamin Stevens, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Towards generic image classification: an extensive empirical study

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2014 .

Fast Multi-class Image Annotation with Random Subwindows and Multiple Output Randomized Trees

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2009, VISAPP.

A web-based framework for visualization, annotation, and automatic exploitation of high-resolution bioimages using tree-based machine learning methods

Raphaël Marée, Louis Wehenkel, Loïc Rollus, 2011 .

A rich internet application for remote visualization, collaborative annotation, and automated analysis of large-scale biomages

Gilles Louppe, Raphaël Marée, Louis Wehenkel, 2012 .

An empirical comparison of machine learning algorithms for generic image classification

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2003 .

A web-based software for visualization, collaborative annotation, and automated analysis of bioimages: Zebrafish applications

Raphaël Marée, 2012 .

Automatic Localization of Interest Points in Zebrafish Images with Tree-Based Methods

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2011, PRIB.

Automated Multimodal Volume Registration based on Supervised 3D Anatomical Landmark Detection

Raphaël Marée, Pierre Geurts, Sébastien Jodogne, 2017, VISIGRAPP.

Random subwindows for robust image classification

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Comparison of Deep Transfer Learning Strategies for Digital Pathology

Raphaël Marée, Pierre Geurts, Romain Mormont, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

BIAFLOWS: A collaborative framework to benchmark bioimage analysis workflows

Lassi Paavolainen, Raphaël Marée, Natasa Sladoje, 2019, bioRxiv.

Cytomine: An Open-Source Software For Collaborative Analysis Of Whole-Slide Images

Gilles Louppe, Raphaël Marée, Pierre Geurts, 2016 .

Automatic Landmark Detection in 2D images: A tree-based approach with multiresolution pixel features

Raphaël Marée, Pierre Geurts, Sébastien Jodogne, 2014 .

Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images

Raphaël Marée, Pierre Geurts, Navdeep Kumar, 2021, CAIP.

Oligodendrocyte development and myelinogenesis are not impaired by high concentrations of phenylalanine or its metabolites

Raphaël Marée, Pengyu Hong, Vincent Bours, 2010, Journal of Inherited Metabolic Disease.

PREDetector: a new tool to identify regulatory elements in bacterial genomes.

Raphaël Marée, Louis Wehenkel, Sébastien Rigali, 2007, Biochemical and biophysical research communications.

Phenotype Classification of Zebrafish Embryos by Supervised Learning

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2012, PloS one.

Roles of polarized neutrophils on lung tumour development in an orthotopic lung tumour mouse model

Raphaël Marée, Natacha Rocks, Didier Cataldo, 2013 .

Phenotype Classification of Zebrafish Embryos by Supervised Learning

Raphaël Marée, Pierre Geurts, Louis Wehenkel, 2012, PloS one.

Automated processing of zebrafish imaging data: a survey.

Raphaël Marée, Pierre Geurts, Ralf Mikut, 2013, Zebrafish.

Evaluation of BRCA1-related molecular features and microRNAs as prognostic factors for triple negative breast cancers

Raphaël Marée, Vincent Bours, Stephane Wenric, 2015, BMC Cancer.

Automatic Cephalometric X-Ray Landmark Detection Challenge 2014: A machine learning tree-based approach

Raphaël Marée, Pierre Geurts, Sébastien Jodogne, 2014 .