Benjamin De Leener

According to our database, Benjamin De Leener authored at least 17 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Combining PropSeg and a convolutional neural network for automatic spinal cord segmentation in pediatric populations and patients with spinal cord injury.

Colline Blanc, Shiva Shahrampour, Feroze B. Mohamed, Benjamin De Leener

Int. J. Imaging Syst. Technol., July, 2023

2022

Deep Learning-Based Longitudinal Intra-subject Registration of Pediatric Brain MR Images.

Andjela Dimitrijevic, Vincent Noblet, Benjamin De Leener

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

2021

Investigating the human spinal sensorimotor pathways through functional magnetic resonance imaging.

Caroline Landelle, Ovidiu V. Lungu, Shahabeddin Vahdat, Anne Kavounoudias, Véronique Marchand-Pauvert, Benjamin De Leener, Julien Doyon

NeuroImage, 2021

2019

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.

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, Julien Cohen-Adad

NeuroImage, 2019

2018

PAM50: Unbiased multimodal template of the brainstem and spinal cord aligned with the ICBM152 space.

Benjamin De Leener, Vladimir S. Fonov, D. Louis Collins, Virginie Callot, Nikola Stikov, Julien Cohen-Adad

NeuroImage, 2018

Automatic spinal cord localization, robust to MRI contrasts using global curve optimization.

Charley Gros, Benjamin De Leener, Sara M. Dupont, Allan R. Martin, Michael G. Fehlings, Rohit Bakshi, Subhash Tummala, Vincent Auclair, Donald G. McLaren, Virginie Callot, Julien Cohen-Adad, Michaël Sdika

Medical Image Anal., 2018

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.

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

CoRR, 2018

2017

Spinal cord grey matter segmentation challenge.

Ferran Prados, John Ashburner, Claudia Blaiotta, Tom Brosch, Julio Carballido-Gamio, Manuel Jorge Cardoso, Benjamin N. Conrad, Esha Datta, Gergely Dávid, Benjamin De Leener, Sara M. Dupont, Patrick Freund, Claudia A. M. Gandini Wheeler-Kingshott, Francesco Grussu, Roland G. Henry, Bennett A. Landman, Emil Ljungberg, Bailey Lyttle, Sébastien Ourselin, Nico Papinutto, Salvatore Saporito, Regina Schlaeger, Seth A. Smith, Paul E. Summers, Roger C. Tam, Marios C. Yiannakas, Alyssa H. Zhu, Julien Cohen-Adad

NeuroImage, 2017

SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data.

Benjamin De Leener, Simon Lévy, Sara M. Dupont, Vladimir S. Fonov, Nikola Stikov, D. Louis Collins, Virginie Callot, Julien Cohen-Adad

NeuroImage, 2017

Fully-integrated framework for the segmentation and registration of the spinal cord white and gray matter.

Sara M. Dupont, Benjamin De Leener, Manuel Taso, Arnaud Le Troter, Sylvie Nadeau, Nikola Stikov, Virginie Callot, Julien Cohen-Adad

NeuroImage, 2017

Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections.

Adam Porisky, Tom Brosch, Emil Ljungberg, Lisa Y. W. Tang, Youngjin Yoo, Benjamin De Leener, Anthony Traboulsee, Julien Cohen-Adad, Roger C. Tam

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization.

Charley Gros, Benjamin De Leener, Sara M. Dupont, Allan R. Martin, Michael G. Fehlings, Rohit Bakshi, Subhash Tummala, Vincent Auclair, Donald G. McLaren, Virginie Callot, Michaël Sdika, Julien Cohen-Adad

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

3D vascular path planning of chemo-embolizations using segmented hepatic arteries from MR angiography.

Anais Badoual, Maxime Gerard, Benjamin De Leener, Nadine Abi-Jaoudeh, Samuel Kadoury

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Automatic Segmentation of the Spinal Cord and Spinal Canal Coupled With Vertebral Labeling.

Benjamin De Leener, Julien Cohen-Adad, Samuel Kadoury

IEEE Trans. Medical Imaging, 2015

2014

Robust, accurate and fast automatic segmentation of the spinal cord.

Benjamin De Leener, Samuel Kadoury, Julien Cohen-Adad

NeuroImage, 2014

Framework for integrated MRI average of the spinal cord white and gray matter: The MNI-Poly-AMU template.

Vladimir S. Fonov, Arnaud Le Troter, Manuel Taso, Benjamin De Leener, G. Lévêque, M. Benhamou, Michaël Sdika, Habib Benali, Pierre-Franois Pradat, D. Louis Collins, Virginie Callot, Julien Cohen-Adad

NeuroImage, 2014

Automatic 3D segmentation of spinal cord MRI using propagated deformable models.

Benjamin De Leener, Julien Cohen-Adad, Samuel Kadoury

Proceedings of the Medical Imaging 2014: Image Processing, 2014