Benjamin De Leener

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Julien Doyon

> Home > Persons > Benjamin De Leener

Publications

2021
[j10]
- view
  - electronic edition via DOI (open access)
  - references & citations
  authority control:
- export record
  dblp key:
  - journals/neuroimage/LandelleLVKMLD21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/neuroimage/LandelleLVKMLD21
Caroline Landelle, Ovidiu V. Lungu, Shahabeddin Vahdat, Anne Kavounoudias, Véronique Marchand-Pauvert, Benjamin De Leener, Julien Doyon:
Investigating the human spinal sensorimotor pathways through functional magnetic resonance imaging. NeuroImage 245: 118684 (2021)
2018
[i1]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1805-06349
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1805-06349
Charley Gros, Benjamin De Leener, Atef Badji, Josefina Maranzano, Dominique Eden, Sara M. Dupont, Jason Talbott, Ren Zhuoquiong, Yaou Liu, Tobias Granberg, Russell Ouellette, Yasuhiko Tachibana, Masaaki Hori, Kouhei Kamiya, Lydia Chougar, Leszek Stawiarz, Jan Hillert, Elise Bannier, Anne Kerbrat, Gilles Edan, Pierre Labauge, Virginie Callot, Jean Pelletier, Bertrand Audoin, Henitsoa Rasoanandrianina, Jean-Christophe Brisset, Paola Valsasina, Maria Assunta Rocca, Massimo Filippi, Rohit Bakshi, Shahamat Tauhid, Ferran Prados, Marios C. Yiannakas, Hugh Kearney, Olga Ciccarelli, Seth A. Smith, Constantina Andrada Treaba, Caterina Mainero, Jennifer Lefeuvre, Daniel S. Reich, Govind Nair, Vincent Auclair, Donald G. McLaren, Allan R. Martin, Michael G. Fehlings, Shahabeddin Vahdat, Ali Khatibi, Julien Doyon, Timothy M. Shepherd, Erik Charlson, Sridar Narayanan, Julien Cohen-Adad:
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. CoRR abs/1805.06349 (2018)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.