User

Difference between revisions of "Chazalon"

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== Publications ==
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== General Information ==
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* Full name: Joseph Chazalon
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* Position: Associate professor
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* Phone: 0184071604
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* Postal mail: LRDE/EPITA, 14-16 rue Voltaire, 94270 Le Kremlin-Bicêtre, France
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* Office location: LRDE, building Paritalie (X), 3rd floor, 15 Rue Pasteur, 94270 Le Kremlin-Bicêtre ([https://drive.google.com/open?id=1iZUCWYAOP_Vkavy0H3VxiIOnqLAENSLg&usp=sharing map])
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* Research Topics: Computer Science, Computer Vision, Document Image Processing, Reproducible Research
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* Webpages: [https://jchazalon.github.io/ personal], [https://www.lrde.epita.fr/~jchazalo/ professional]
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* Online profiles: [https://orcid.org/0000-0002-3757-074X ORCiD], [https://scholar.google.fr/citations?user=zu8wSDAAAAAJ Google Scholar], [https://dblp.org/pers/hd/c/Chazalon:Joseph DBLP], [https://hal.archives-ouvertes.fr/search/index/?qa%5BauthIdHal_s%5D%5B%5D=joseph-chazalon HAL]
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== Recent Publications ==
   
 
{{Publications/AuthorList|Joseph Chazalon}}
  
{{Publications/AuthorList|Joseph Chazalon}}

Revision as of 10:13, 27 June 2019

General Information

  • Full name: Joseph Chazalon
  • Position: Associate professor
  • Phone: 0184071604
  • Postal mail: LRDE/EPITA, 14-16 rue Voltaire, 94270 Le Kremlin-Bicêtre, France
  • Office location: LRDE, building Paritalie (X), 3rd floor, 15 Rue Pasteur, 94270 Le Kremlin-Bicêtre (map)
  • Research Topics: Computer Science, Computer Vision, Document Image Processing, Reproducible Research
  • Webpages: personal, professional
  • Online profiles: ORCiD, Google Scholar, DBLP, HAL

Recent Publications

    Conference papers

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    abadie.22.das A Benchmark of Named Entity Recognition Approaches in Historical Documents Nathalie Abadie, Edwin Carlinet, Joseph Chazalon, Bertrand Duménieu Proceedings of the 15th IAPR International Workshop on Document Analysis System 7 April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

    Journal papers

    Title Authors Published in Date
    mehta.22.melba QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation — Analysis of Ranking Scores and Benchmarking Results Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil Nalawade, Chandan Ganesh, Ben Wagner, YuFang F., Baowei Fei, Ananth J Madhuranthakam, Joseph A Maldjian, Laura Daza, GómezCatalina, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Reynaud, Yuanhan Mo, Elsa Angelini, Yike Guo, Wenjia Bai, BanerjeeSubhashis, Linmin Pei, Murat AK, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh Hoang Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Veronica Vilaplana, Hugh McHugh, Gonzalo Maso Talou, Alan Wang, Jay Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, VidyaratneLasitha, Md Monibor Rahman, Khan M Iftekharuddin, Joseph Chazalon, Elodie Puybareau, TochonGuillaume, Jun Ma, Mariano Cabezas, LladoXavier, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, SoltaninejadMohammadreza, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas Tustison, MeyerCraig, Nisarg A Shah, Sanjay Talbar, WeberMarc-André, Abhishek Mahajan, Andras Jakab, Roland Wiest, Hassan M Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel Marcus, Aikaterini Kotrotsou, Rivka Colen, John Freymann, Justin Kirby, Christos Davatzikos, MenzeBjoern, Spyridon Bakas, Yarin Gal, Tal Arbel Journal of Machine Learning for Biomedical Imaging (MELBA) 9 January 2022
    rusinol.17.mtap Augmented Songbook: an Augmented Reality Educational Application for Raising Music Awareness Marçal Rusiñol, Joseph Chazalon, Katerine Diaz-Chito Multimedia Tools and Applications 29 June 2017
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