B. Leener

发表

J. Cohen‐Adad, V. Callot, M. Taso, 2016, Magnetic Resonance Materials in Physics, Biology and Medicine.

A Clinically Feasible Quantitative MRI Protocol to Assess Tissue Injury in the Cervical Spinal Cord Using DTI, MT, and T2*-Weighted Imaging: Reliability and Variations with Confounding Variables

Allan R. Martin, D. Cadotte, J. Cohen‐Adad, 2016 .

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

V. Noblet, B. Leener, Andjela Dimitrijevic, 2022, WBIR.

Combining Conventional Methods and Deep Learning Unsupervised Models for Fast Intra-subject Registration of Pediatric Brain MR Images

B. Leener, Andjela Dimitrijevic, 2022 .

Spinal cord grey matter segmentation challenge

Julien Cohen-Adad, Salvatore Saporito, Sébastien Ourselin, 2017, NeuroImage.

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

Julien Cohen-Adad, Rohit Bakshi, Massimo Filippi, 2018, NeuroImage.

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

Julien Cohen-Adad, Rohit Bakshi, Michaël Sdika, 2018, Medical Image Anal..

Investigating the human spinal sensorimotor pathways through functional magnetic resonance imaging

J. Doyon, V. Marchand-Pauvert, O. Lungu, 2021, NeuroImage.

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

Julien Cohen-Adad, D. Louis Collins, Virginie Callot, 2017, NeuroImage.

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

Allan R. Martin, J. Doyon, O. Ciccarelli, 2018 .

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

Julien Cohen-Adad, D. Louis Collins, Vladimir Fonov, 2018, NeuroImage.

Robust, accurate and fast automatic segmentation of the spinal cord

Julien Cohen-Adad, Samuel Kadoury, Benjamin De Leener, 2014, NeuroImage.

Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective.

Pradeep Reddy Raamana, Samuel A. Nastase, Katherine L. Bottenhorn, 2021, GigaScience.

Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective.

Saige Rutherford, Tristan Glatard, Simon B. Eickhoff, 2021, GigaScience.

Non-invasive in vivo MRI detects long-term microstructural brain alterations related to learning and memory impairments in a model of inflammation-induced white matter injury

Wyston C Pierre, F. Lesage, G. Lodygensky, 2022, Behavioural Brain Research.

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

D. L. Collins, J. Cohen-Adad, A. Le Troter, 2014, NeuroImage.

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

Julien Cohen-Adad, Lisa Tang, Youngjin Yoo, 2017, DLMIA/ML-CDS@MICCAI.

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

Julien Cohen-Adad, Sylvie Nadeau, Arnaud Le Troter, 2017, NeuroImage.

Topologically preserving straightening of spinal cord MRI

Virginie Callot, Allan R. Martin, Nikola Stikov, 2017, Journal of magnetic resonance imaging : JMRI.

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

Julien Cohen-Adad, Samuel Kadoury, Benjamin De Leener, 2015, IEEE Transactions on Medical Imaging.

Adolescent Scoliosis 1A001: Radiographic Results of Selecting the Touched Vertebra as the Lowest Instrumented Vertebra in Lenke Type 1 (Main Thoracic) & Type 2 (Double Thoracic) Curves at a Minimum 5-year Follow-up

Kai-Ming G. Fu, Kevin L. Ingalls, Sang Gu Lee, 2017, Global Spine Journal.

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

Samuel Kadoury, Anais Badoual, Benjamin De Leener, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

A Novel MRI Biomarker of Spinal Cord White Matter Injury: T2*-Weighted White Matter to Gray Matter Signal Intensity Ratio

A. Crawley, D. Mikulis, D. Cadotte, 2017, American Journal of Neuroradiology.

Clinically Feasible Microstructural MRI to Quantify Cervical Spinal Cord Tissue Injury Using DTI, MT, and T2*-Weighted Imaging: Assessment of Normative Data and Reliability

A. Crawley, D. Mikulis, D. Cadotte, 2017, American Journal of Neuroradiology.

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

Vladimir S Fonov, H. Benali, M. Sdika, 2014, NeuroImage.

Body size interacts with the structure of the central nervous system: A multi-center in vivo neuroimaging study

Nicole T. Atcheson, C. Lenglet, N. Weiskopf, 2024, bioRxiv.