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Research interests and affiliations

Research interests

My research interests pertain to the development of new technologies in pediatric neuroimaging. More particularly, my research lab focuses on developing open-source software for analyzing brain and spinal cord images acquired with magnetic resonance imaging, using advanced segmentation and registration approaches using machine learning and neurodevelopmental templates and atlases. The laboratory is closely linked to the TransMedTech institute and the Research Center of the Sainte-Justine University Hospital, enabling strong collaborations between researchers, engineers, psychologists, radiologists, and clinicians.

  • Medical imaging
  • Computer vision
  • Pediatric neuroimaging
  • Image processing and analysis
  • Machine learning
  • Modelisation
Expertise type(s) (NSERC subjects)
  • 1901 Biomedical technology
  • 2603 Computer vision
  • 2605 Pattern analysis and machine intelligence
  • 2604 Intelligent systems applications
  • 2708 Image and video processing

Publications

Recent publications
Journal article
Mangeat, G., Ouellette, R., Wabartha, M., De Leener, B., Platten, M., Karrenbauer, V.D., Warntjes, M., Stikov, N., Mainero, C., Cohen-Adad, J. & Granberg, T. (2020). Machine Learning and Multiparametric Brain MRI to Differentiate Hereditary Diffuse Leukodystrophy with Spheroids from Multiple Sclerosis. Journal of Neuroimaging, 30(5), 674-682. Retrieved from https://doi.org/10.1111/jon.12725
Journal article
Ouellette, R., Treaba, C.A., Granberg, T., Herranz, E., Barletta, V., Mehndiratta, A., De Leener, B., Tauhid, S., Yousuf, F., Dupont, S.M., Klawiter, E.C., Sloane, J.A., Bakshi, R., Cohen-Adad, J. & Mainero, C. (2020). 7 T imaging reveals a gradient in spinal cord lesion distribution in multiple sclerosis. Brain, 143, 2973-2987. Retrieved from https://doi.org/10.1093/brain/awaa249
Journal article
Gros, C., De Leener, B., Badji, A., Maranzano, J., Eden, D., Dupont, S.M., Talbott, J., Zhuoquiong, R., Liu, Y., Granberg, T., Ouellette, R., Tachibana, Y., Hori, M., Kamiya, K., Chougar, L., Stawiarz, L., Hillert, J., Bannier, E., Kerbrat, A., Edan, G., Labauge, P., Callot, V., Pelletier, J., Audoin, B., Rasoanandrianina, H., Brisset, J.-C., Valsasina, P., Rocca, M.A., Filippi, M., Bakshi, R., Tauhid, S., Prados, F., Yiannakas, M., Kearney, H., Ciccarelli, O., Smith, S., Treaba, C.A., Mainero, C., Lefeuvre, J., Reich, D.S., Nair, G., Auclair, V., McLaren, D.G., Martin, A.R., Fehlings, M.G., Vahdat, S., Khatibi, A., Doyon, J., Shepherd, T., Charlson, E., Narayanan, S. & Cohen-Adad, J. (2019). Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. NeuroImage, 184, 901-915. Retrieved from https://doi.org/10.1016/j.neuroimage.2018.09.081
Conference paper
Ouellette, R., Treaba, C.A., Granberg, T., Herranz, E., Barletta, V., Mehndiratta, A., De Leener, B., Tauhid, S., Yousuf, F., Dupont, S., Klawiter, E.C., Sloane, J.A., Bakshi, R., Cohen-Adad, J. & Mainero, C. (2019). Characterization of outer and inner spinal cord pathology in multiple sclerosis by 7 Tesla imaging [Abstract]. Paper presented at the 35th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS) and 24th Annual Conference of Rehabilitation in MS, Stockholm, Sweden. (Published in Multiple Sclerosis Journal, 25, 681-682). Retrieved from https://doi.org/10.1177/1352458519868081

Teaching

INF1005D – Programmation procédurale en Python

INF1007 - Introduction à la programmation

GBM8770 - Traitement numérique d'images médicales

Education

  • Ph.D. in biomedical engineering, Polytechnique Montréal, Canada
  • Master in biomedical engineering, Polytechnique Montréal, Canada
  • Master in biomedical engineering, Université Libre de Bruxelles, Belgium
  • Bachelor in civil engineering, Université Libre de Bruxelles, Belgium

Supervision at Polytechnique

IN PROGRESS

  • Ph.D. (1)

    • Zhang, Erjun. Diffusion MRI Model for Impacts Quantification of Hypoglycemia on Preterm Baby Brain.
  • Master (thesis) (2)

    • Blanc, Colline. Development of an automated pipeline for spinal cord MR image analysis dedicated to pediatric populations.
    • Ridani, Daniel. Development of a QSM reconstruction algorithm for neonatal MRI.

Press review about Benjamin De Leener

March 1, 2021, La Presse, ChrysaLabs : du génie biomédical aux sondes d’analyse du sol Gabriel Mangeat, étudiant au doctorat en génie biomédical, et Benjamin De Leener, professeur adjoint au Département de génie informatique et génie logiciel, tous deux à Polytechnique Montréal, qui ont fondé ChrysaLabs, parlent de la mise en marché d'une sonde portative pour analyser le sol en temps réel.  
March 10, 2020, McGill, Neural Pathways: Dr. Benjamin De Leener Article sur Benjamin De Leener, professeur adjoint au Département de génie informatique et génie logiciel de Polytechnique Montréal et titulaire de la chaire de recherche TransMedTech.