Automatic 3D segmentation of spinal cord MRI using propagated deformable models. - Benjamin De Leener; Julien Cohen-Adad; Samuel Kadoury (Image Processing, 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-François Pradat; D. Louis Collins; Virginie Callot; Julien Cohen-Adad (NeuroImage, 2014)

Robust, accurate and fast automatic segmentation of the spinal cord. - Benjamin De Leener; Samuel Kadoury; Julien Cohen-Adad (NeuroImage, 2014)

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)

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 (ISBI, 2016)

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 (MICCAI (2), 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 (DLMIA/ML-CDS@MICCAI, 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)

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)

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; et al. (NeuroImage, 2017)

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; et al. (CoRR, 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)

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 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; et al. (NeuroImage, 2019)

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)

Deep Learning-Based Longitudinal Intra-subject Registration of Pediatric Brain MR Images. - Andjela Dimitrijevic; Vincent Noblet; Benjamin De Leener (WBIR, 2022)

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., 2023)

Impact of Initialization on Intra-subject Pediatric Brain MR Image Registration: A Comparative Analysis between SyN ANTs and Deep Learning-Based Approaches. - Andjela Dimitrijevic; Vincent Noblet; Benjamin De Leener (CoRR, 2024)

Diffusion Bubble Model: A novel MRI approach for detection and subtyping of neonatal punctate white matter lesions. - Erjun Zhang; Benjamin De Leener; Gregory A. Lodygensky (NeuroImage, 2025)