User profiles for Benjamin De Leener

Benjamin De Leener

Assistant Professor of Biomedical Engineering, Polytechnique Montreal
Verified email at polymtl.ca
Cited by 2788

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

B De Leener, S Lévy, SM Dupont, VS Fonov, N Stikov… - Neuroimage, 2017 - Elsevier
For the past 25 years, the field of neuroimaging has witnessed the development of several
software packages for processing multi-parametric magnetic resonance imaging (mpMRI) to …

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

C Gros, B De Leener, A Badji, J Maranzano, D Eden… - Neuroimage, 2019 - Elsevier
The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS)
patients. Segmentation of the spinal cord and lesions from MRI data provides measures of …

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

B De Leener, VS Fonov, DL Collins, V Callot, N Stikov… - Neuroimage, 2018 - Elsevier
Template-based analysis of multi-parametric MRI data of the spinal cord sets the foundation
for standardization and reproducibility, thereby helping the discovery of new biomarkers of …

Robust, accurate and fast automatic segmentation of the spinal cord

B De Leener, S Kadoury, J Cohen-Adad - Neuroimage, 2014 - Elsevier
Spinal cord segmentation provides measures of atrophy and facilitates group analysis via
inter-subject correspondence. Automatizing this procedure enables studies with large …

Generic acquisition protocol for quantitative MRI of the spinal cord

…, B De Leener, M Descoteaux, PL de Sousa… - Nature protocols, 2021 - nature.com
Quantitative spinal cord (SC) magnetic resonance imaging (MRI) presents many challenges,
including a lack of standardized imaging protocols. Here we present a prospectively …

[HTML][HTML] Spinal cord grey matter segmentation challenge

…, BN Conrad, E Datta, G Dávid, B De Leener… - Neuroimage, 2017 - Elsevier
An important image processing step in spinal cord magnetic resonance imaging is the ability
to reliably and accurately segment grey and white matter for tissue specific analysis. There …

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

VS Fonov, A Le Troter, M Taso, B De Leener… - Neuroimage, 2014 - Elsevier
The field of spinal cord MRI is lacking a common template, as existing for the brain, which
would allow extraction of multi-parametric data (diffusion-weighted, magnetization transfer, etc.…

Spatial distribution of multiple sclerosis lesions in the cervical spinal cord

D Eden, C Gros, A Badji, SM Dupont, B De Leener… - Brain, 2019 - academic.oup.com
Spinal cord lesions detected on MRI hold important diagnostic and prognostic value for
multiple sclerosis. Previous attempts to correlate lesion burden with clinical status have had …

[HTML][HTML] Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

…, B De Leener, M Descoteaux, PL De Sousa… - Scientific Data, 2021 - nature.com
In a companion paper by Cohen-Adad et al. we introduce the spine generic quantitative
MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and …

Automatic segmentation of the spinal cord and spinal canal coupled with vertebral labeling

B De Leener, J Cohen-Adad… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Quantifying spinal cord (SC) atrophy in neurodegenerative and traumatic diseases brings
important diagnosis and prognosis information for the clinician. We recently developed the …