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Julien Cohen-Adad
Phd (Paris/Montreal), MSc (Rennes), Eng (Paris)

Research interests and affiliations

Research interests

My lab is developing advanced Magnetic Resonance Imaging (MRI) techniques for quantitative assessment of the brain and spinal cord structure. These developments include hardware (coils), MRI sequences (relaxometry, diffusion tensor imaging, magnetization transfer, functional MRI) and software (multimodal registration, segmentation, motion correction, distortion correction). There is a strong focus on translating research developments into clinics, aiming to improve the diagnosis and prognosis in patients suffering from neurological diseases and traumas. 

The environment is highly multi-disciplinary. We interact with biomedical engineers, physicists, radiologists, neurologists and neurophysiologists. Plus, our lab collaborates with the Martinos Center for Biomedical Imaging at Harvard, therefore some projects will involve travelling to Boston. Projects include:

  • Developing methods for spinal cord MRI in multiple sclerosis (collaboration with Harvard),
  • Studying features of the brain using ultra-high field MRI (collaboration with Harvard),
  • Development of deep learning methods for analysis of medical images
  • Development of open source software for medical imaging applications
  • Building of MRI antenna
Expertise type(s) (NSERC subjects)
  • 1900 BIOMEDICAL ENGINEERING
  • 1901 Biomedical technology
  • 3102 Nuclear physics
  • 6400 LIFE SCIENCES RESEARCH RELATED TO HUMAN HEALTH AND DISEASE
  • 9000 MEDICAL SCIENCES

Publications

Recent publications
Journal article
Badj, A., de la Colina, A.N., Boshkovski, T., Sabra, D., Karakuzu, A., Robitaille-Grou, M.-C., Gros, C., Joubert, S., Bherer, L., Lamarre-Cliche, M., Stikov, N., Gauthier, C.J., Cohen-Adad, J. & Girouard, H. (2020). A Cross-Sectional Study on the Impact of Arterial Stiffness on the Corpus Callosum, a Key White Matter Tract Implicated in Alzheimer's Disease. Journal of Alzheimers Disease, 77(2), 591-605. Retrieved from https://doi.org/10.3233/jad-200668
Journal article
Mancini, M., Karakuzu, A., Cohen-Adad, J., Cercignani, M., Nichols, T.E. & Stikov, N. (2020). An interactive meta-analysis of MRI biomarkers of myelin. Elife, 9, 23 pages. Retrieved from https://doi.org/10.7554/eLife.61523
Journal article
Badji, A., Adrian, N.d.l.C., Karakuzu, A., Duval, T., Desjardins-Crepeau, L., Parizet, M., Joubert, S., Bherer, L., Lamarre-Cliche, M., Stikov, N., Cohen-Adad, J. & Girouard, H. (2020). Arterial stiffness cut-off value and white matter integrity in the elderly. Neuroimage-Clinical, 26, 11 pages. Retrieved from https://doi.org/10.1016/j.nicl.2019.102007

Biography

Prof. Cohen-Adad is an MR physicist and software developer with over 15 years of experience in advanced MRI methods for quantitative assessment of the brain and spinal cord structure and function. He is an associate professor at Polytechnique Montreal, adjunct professor of neuroscience at the University of Montreal, associate director of the Neuroimaging Functional Unit (Univ. Montreal), member of Mila (Univ. Montreal) and he holds the Canada Research Chair in Quantitative Magnetic Resonance Imaging. Along with his colleague Prof. Nikola Stikov, he is directing the NeuroPoly Lab (www.neuro.polymtl.ca), which includes about 20 graduate students and research associates. Prof. Cohen-Adad's research is highly cited (Google Scholar). As a leader in the field, he organized multiple workshops at international conferences (https://spinalcordmri.org/workshops.html). He is a frequent guest lecturer on advanced MRI methods and he regularly serves as consultant for various companies (e.g. Biospective Inc., NeuroRx, IMEKA) and academic (Harvard, U. Toronto, UCL, UCSF, etc.) for setting up MRI acquisition and image processing protocols. 

Do you want to join the lab? See: job opportunities

Teaching

  • GBM6125
  • GBM6904/7904
  • GBM8378

Supervision at Polytechnique

COMPLETED

  • Ph.D. Thesis (3)

    • De Leener, B. (2017). Development of an MRI template and analysis pipeline for the spinal cord and application in patients with spinal cord injury (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2743/
    • Duval, T. (2017). Quantification de la microstructure de la moelle épinière humaine par IRM et application chez des patients avec sclérose en plaques (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2871/
    • Lopez Rios, N. (2017). Development of a New Multi-Channel MRI Coil Optimized for Brain Studies in Human Neonates (Ph.D. Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2816/
  • Master's Thesis (12)

    • Rouhier, L. (2020). Prognosis for Degenerative Cervical Myelopathy: A Computer Learning Approach on the AOspine Database (Master's Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/5348/
    • Nami, H. (2019). Clustering of the White Matter Tracts in the Rat Spinal Cord Based on Quantitative Histology (Master's Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/4009/
    • Samuel Perone, C. (2019). Deep Learning Methods for MRI Spinal Cord Gray Matter Segmentation (Master's Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/3811/
    • Gros, C. (2018). Automatic Segmentation of Intramedullary Multiple Sclerosis Lesions (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/3200/
    • Zaimi, A. (2018). Automatic axon and myelin segmentation of microscopy images and morphometrics extraction (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/3089/
    • Germain, G. (2017). Une antenne hybride RF/shimming pour l'IRM de la moelle épinière (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2623/
    • Saliani, A. (2017). Construction d'un atlas de la microstructure de la matière blanche de la moelle épinière chez le rat à partir d'acquisitions histologiques (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2734/
    • Vuong, M.T. (2017). Comparison of Myelin Imaging Techniques in Ex Vivo Spinal Cord (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2683/
    • Lévy, S. (2016). Caractérisation de la microstructure des voies spinales humaines par IRM multiparamétrique (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2068/
    • Mangeat, G. (2016). Study of Human Cortical Microstructure Using Magnetization Transfer and T2* Mapping with Application in Multiple Sclerosis (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2079/
    • Foias, A. (2015). Design and Construction of a Highly Sensitive Coil for MRI of the Spinal Cord (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/2001/
    • De Leener, B. (2014). Segmentation automatique de la moelle épinière sur des images de résonance magnétique par propagation de modèles déformables (Master's Thesis, École Polytechnique de Montréal). Retrieved from https://publications.polymtl.ca/1471

News about Julien Cohen-Adad

NEWS | February 24, 2021
50 Polytechnique Montréal researchers among the top 2% most cited in their respective fields | Read

Press review about Julien Cohen-Adad

February 8, 2016, Le Devoir, Les capacités d'apprentissage du système nerveux Image obtenue par résonance magnétique des faisceaux de fibres nerveuses (ou axones) qui descendent dans la moelle épinière et dont les corps cellulaires sont situés dans le cortex cérébral. ( Photo: Laboratoire du professeur Julien Cohen-Adad, École Polytechnique de Montréal).