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Benjamin De Leener

Researcher at École Polytechnique de Montréal

Publications -  33
Citations -  1531

Benjamin De Leener is an academic researcher from École Polytechnique de Montréal. The author has contributed to research in topics: Spinal cord & White matter. The author has an hindex of 16, co-authored 26 publications receiving 1059 citations. Previous affiliations of Benjamin De Leener include Montreal Neurological Institute and Hospital.

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

TL;DR: The Spinal Cord Toolbox is introduced, a comprehensive software dedicated to the processing of spinal cord MRI data that is tailored towards standardization and automation of the processing pipeline, versatility, modularity, and it follows guidelines of software development and distribution.
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Robust, accurate and fast automatic segmentation of the spinal cord.

TL;DR: A new automatic segmentation method (PropSeg) optimized for robustness, accuracy and speed that can be used to quantify morphological features such as cross-sectional area along the whole spinal cord is presented.
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Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.

TL;DR: In this paper, a CNN-based segmentation of the spinal cord and lesion from MRI images is presented. But, the method is not suitable for the case of multiple sclerosis (MS) patients due to the heterogeneity of lesion contrast, size, location and shape.
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PAM50: Unbiased multimodal template of the brainstem and spinal cord aligned with the ICBM152 space.

TL;DR: The fusion of the PAM50 and ICBM152 templates will facilitate group and multi‐center studies of combined brain and spinal cord MRI, and enable the use of existing atlases of the brainstem compatible with the ICBM space.