Julien Cohen-Adad
Phd (Paris/Montreal), MSc (Rennes), Eng (Paris)
Associate Professor
Department of Electrical Engineering
Department of Electrical Engineering
Student research project(s)
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 (collaboration with Mila),
- Development of open source software for medical imaging applications,
- Building of MRI antenna
Affiliation(s)
- Tier-2 Canada Research Chair in Quantitative Magnetic Resonance Imaging, Chairholder
- Functional Neuroimaging Unit (UNF), Co-director
- Laboratoire de Recherche en Neuroimagerie (NeuroPoly), Co-director
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal (CRIUGM), Researcher
- Department of Neurosciences, Université de Montréal, Adjunct Professor
- Institute for Data Valorization (IVADO), Member
- Biomedical Science and Technologies Research Centre (GRSTB), Member
- Institut de génie biomédical, Member
- Quebec Bio-Imaging Network (QBIN), Member
- Advanced Research Centre in Microwaves and Space Electronics (POLY-GRAMES), Member
- Mila - Quebec AI Institute, Montreal, QC, Canada, Associate member
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
Conference paper
Journal article
Journal article
Khatibi, A., Vahdat, S., Lungu, O., Finsterbusch, J., Büchel, C., Cohen-Adad, J., Marchand-Pauvert, V. & Doyon, J. (2022). Brain-spinal cord interaction in long-term motor sequence learning in human: An fMRI study. NeuroImage, 253, 11 pages. Retrieved from https://doi.org/10.1016/j.neuroimage.2022.119111
Querin, G., Saracino, D., Rinaldi, D., Salachas, F., Marchand-Pauvert, V., Cohen-Adad, J., Le Ber, I. & Pradat, P. (2022). Cervical spinal cord MRI parameters as predictors of early degeneration in asymptomatic C9Orf72 carriers: a longitudinal study [Poster]. Paper presented at the 27th International Congress of the World Muscle Society, Halifax, Nova Scotia, Canada. (Published in Neuromuscular Disorders, 32(Supplement 1), S134-S135). Retrieved from https://doi.org/10.1016/j.nmd.2022.07.385
Cohen-Adad, J., Alonso-Ortiz, E., Alley, S., Lagana, M.M., Baglio, F., Vannesjo, S.J., Karbasforoushan, H., Seif, M., Seifert, A.C., Xu, J., Kim, J.-W., Labounek, R., Vojtiek, L., Dostal, M., Valoek, J., Samson, R.S., Grussu, F., Battiston, M., Gandini Wheeler-Kingshott, C.A.M., Yiannakas, M.C., Gilbert, G., Schneider, T., Johnson, B. & Prados, F. (2022). Comparison of multicenter MRI protocols for visualizing the spinal cord gray matter. Magnetic Resonance in Medicine, 88(2), 849-859. Retrieved from https://doi.org/10.1002/mrm.29249
Bourget, M.-H., Kamentsky, L., Ghosh, S.S., Mazzamuto, G., Lazari, A., Markiewicz, C.J., Oostenveld, R., Niso, G., Halchenko, Y.O., Lipp, I., Takerkart, S., Toussaint, P.-J., Khan, A.R., Nilsonne, G., Castelli, F.M., Cohen-Adad, J., Appelhoff, S., Blair, R., Earl, E., Feingold, F., Galassi, A., Gau, R., Markiewicz, C.J. & Salo, T. (2022). Microscopy-BIDS: An Extension to the Brain Imaging Data Structure for Microscopy Data. Frontiers in Neuroscience, 16, 8 pages. Retrieved from https://doi.org/10.3389/fnins.2022.871228
See all publications (393)
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
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Ph.D. Thesis (5)
- Mangeat, G. (2021). Development of in-Vivo Histology with Quantitative Magnetic Resonance Imaging to Resolve Fine Neurodegenerative Features (Ph.D. Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/6280/
- Topfer, R. (2021). Local Coils and Prospective Shimming for MRI of the Spinal Cord (Ph.D. Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/10011/
- 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/
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Master's Thesis (15)
- Cereza, G. (2022). Development of an Innovative Solution Minimizing RF Field Inhomogeneity and Energy Deposition in Ultra-High Field MRI Applications (Master's Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/10282/
- Lemay, A. (2022). Impact of Soft Segmentation Training on Medical Image Segmentation and Uncertainty Representation (Master's Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/10259/
- Vincent, O. (2021). Impact of Rater Style on Deep Learning Segmentation in Medical Imaging (Master's Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/6283/
- 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
|
January 6, 2022
Québec Science Discovery of the Year: two Polytechnique Montréal professors among the top10 finalists |
Read
Press review about Julien Cohen-Adad
January 23, 2022,
Québec Science,
Un nouveau protocole qui promet de changer le monde médical
Une équipe de 92 personnes, menée par le Pr Julien Cohen-Adad du Département de génie électrique de Polytechnique Montréal, a mis au point un protocole permettant de créer des images par résonance magnétique de la moelle épinière plus claires et plus justes qu’auparavant.
January 1, 2022,
Québec Science,
Moelle épinière : nouveau souffle pour les IRM
Jusqu’à tout récemment, les images de la moelle épinière obtenues par résonance magnétique n’étaient pas standardisées, ce qui empêchait de les comparer et de suivre l’évolution des lésions. C’est maintenant réglé grâce à une avancée du Pr Julien Cohen-Adad du Département de génie électrique sélectionnée parmi les 10 Découvertes de l’année par le magazine Québec Science.
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).
