Julien Cohen-Adad

Thème (s)

• Imagerie par Résonance Magnétique (IRM), neuroimagerie, biomarqueurs, modélisation biophysique;
• Traitement d’images (segmentation de lésions, recalage non-rigide, etc.), Apprentissage profond (deep learning);
• Applications aux maladies neurodégénératives (Alzheimer, Parkinson, sclérose en plaques, sclérose latérale amyotrophique) et traumatiques (lésions de la moelle épinière).

Publications choisies

• Cohen-Adad J, Alonso-Ortiz E, …, Xu J. Generic acquisition protocol for quantitative MRI of the spinal cord. Nature Protocols, 16:4611-4632, 2021.
• Ouellette R, Treaba CA, …, Cohen-Adad J, Mainero C. 7 T imaging reveals a gradient in spinal cord lesion distribution in multiple sclerosis. Brain, 143(10):2973-2987, 2020.
• Kerbrat A, Gros C, …, Cohen-Adad J. Multiple sclerosis lesions in motor tracts from the brain to the cervical cord: spatial distribution and correlation with disability. Brain, 143(7):2089-2105, 2020. Cover page.
• Gergely D, Mohammadi S, Martin A, Cohen-Adad J., Weiskopf N, Thompson A, Freund P. Traumatic and nontraumatic spinal cord injury: pathological insights from neuroimaging. Nature Review Neurology, 15(12):718-731, 2019.
• Karbasforoushan H, Cohen-Adad J., Dewald JPA. Brainstem and spinal cord MRI identifies altered sensorimotor pathways post-stroke. Nature Communication, 10(1):3524, 2019.
• Eden D, Gros C, Badji A, …, Cohen-Adad J. Spatial distribution of multiple sclerosis lesions in the cervical spinal cord. Brain. 2019 Jan 30.