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Title
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Authors
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Published in
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Date
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| abadie.22.das
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A Benchmark of Named Entity Recognition Approaches in Historical Documents
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Nathalie Abadie, Edwin Carlinet, Joseph Chazalon, Bertrand Duménieu
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Proceedings of the 15th IAPR International Workshop on Document Analysis System
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7 April 2022
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| movn.21.bmvc
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Introducing the Boundary-Aware Loss for Deep Image Segmentation
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Minh Ôn Vũ Ngoc, Yizi Chen, Joseph Chazalon, Edwin Carlinet, Jonathan Fabrizio, Clément Mallet, Thierry Géraud, Nicolas Boutry
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Proceedings of the 32nd British Machine Vision Conference (BMVC)
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28 November 2021
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| chazalon.21.icdar.2
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ICDAR 2021 Competition on Historical Map Segmentation
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Joseph Chazalon, Edwin Carlinet, Yizi Chen, Julien Perret, Bertrand Duménieu, Clément Mallet, Thierry Géraud, Vincent Nguyen, Nam Nguyen, Josef Baloun, Ladislav Lenc, Pavel Král
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Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR'21)
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17 May 2021
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| chen.21.icdar
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Vectorization of Historical Maps Using Deep Edge Filtering and Closed Shape Extraction
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Yizi Chen, Edwin Carlinet, Joseph Chazalon, Clément Mallet, Bertrand Duménieu, Julien Perret
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Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR'21)
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17 May 2021
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| chazalon.21.icdar.1
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Revisiting the Coco Panoptic Metric to Enable Visual and Qualitative Analysis of Historical Map Instance Segmentation
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Joseph Chazalon, Edwin Carlinet
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Proceedings of the 16th International Conference on Document Analysis and Recognition (ICDAR'21)
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17 May 2021
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| chen.21.dgmm
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Combining Deep Learning and Mathematical Morphology for Historical Map Segmentation
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Yizi Chen, Edwin Carlinet, Joseph Chazalon, Clément Mallet, Bertrand Duménieu, Julien Perret
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Proceedings of the IAPR International Conference on Discrete Geometry and Mathematical Morphology (DGMM)
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16 February 2021
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| buatois.19.brainles
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Two Stages CNN-Based Segmentation of GliomasUncertainty Quantification and Prediction of Overall Patient Survival
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Thibault Buatois, Élodie Puybareau, Joseph Chazalon, Guillaume Tochon
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International MICCAI Brainlesion Workshop
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3 September 2020
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| boutry.20.brainles
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Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures
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Nicolas Boutry, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Hugues Talbot, Thierry Géraud
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Proceedings of the 4th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019
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1 June 2020
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| puybareau.18.brainles
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Segmentation of Gliomas and Prediction of Patient Overall Survival: A Simple and Fast Procedure
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Élodie Puybareau, Guillaume Tochon, Joseph Chazalon, Jonathan Fabrizio
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Proceedings of the Workshop on Brain Lesions (BrainLes)in conjunction with MICCAI
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5 November 2018
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| puybareau.18.rfiap
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Segmentation des hyperintensités de la matière blanche en quelques secondes à l'aide d'un réseau de neurones convolutif et de transfert d'apprentissage
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Élodie Puybareau, Yongchao Xu, Joseph Chazalon, Isabelle Bloch, Thierry Géraud
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Actes du congrès Reconnaissance des Formes, ImageApprentissage et Perception (RFIAP), session spéciale “Deep Learning, deep in France”
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4 May 2018
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| xu.18.brainles
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White Matter Hyperintensities Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learning
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Yongchao Xu, Thierry Géraud, Élodie Puybareau, Isabelle Bloch, Joseph Chazalon
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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries— 3rd International WorkshopBrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14 2017, Revised Selected Papers
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6 February 2018
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| drapeau.17.grec
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Extraction of Ancient Map Contents Using Trees of Connected Components
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Jordan Drapeau, Thierry Géraud, Mickaël Coustaty, Joseph Chazalon, Jean-Christophe Burie, Véronique Eglin, Stéphane Bres
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Proceedings of the 12th IAPR International Workshop on Graphics Recognition (GREC)
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20 October 2017
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