Benjamin De Leener

According to our database1, Benjamin De Leener authored at least 16 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Deep Learning-Based Longitudinal Intra-subject Registration of Pediatric Brain MR Images.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Investigating the human spinal sensorimotor pathways through functional magnetic resonance imaging.
NeuroImage, 2021

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.
NeuroImage, 2019

PAM50: Unbiased multimodal template of the brainstem and spinal cord aligned with the ICBM152 space.
NeuroImage, 2018

Automatic spinal cord localization, robust to MRI contrasts using global curve optimization.
Medical Image Anal., 2018

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.
CoRR, 2018

Spinal cord grey matter segmentation challenge.
NeuroImage, 2017

SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data.
NeuroImage, 2017

Fully-integrated framework for the segmentation and registration of the spinal cord white and gray matter.
NeuroImage, 2017

Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

3D vascular path planning of chemo-embolizations using segmented hepatic arteries from MR angiography.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Automatic Segmentation of the Spinal Cord and Spinal Canal Coupled With Vertebral Labeling.
IEEE Trans. Medical Imaging, 2015

Robust, accurate and fast automatic segmentation of the spinal cord.
NeuroImage, 2014

Framework for integrated MRI average of the spinal cord white and gray matter: The MNI-Poly-AMU template.
NeuroImage, 2014

Automatic 3D segmentation of spinal cord MRI using propagated deformable models.
Proceedings of the Medical Imaging 2014: Image Processing, 2014