đź“š Publications

List of publications on Google Scholar and Pubmed.

Journal Articles

  1. Cohen-Adad J et al.. Generic acquisition protocol for quantitative MRI of the spinal cord.. Nat Protocols 2021

  2. Cohen-Adad J et al.. Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers.. Sci Data 2021

  3. Gros C, Lemay A, Cohen-Adad J. SoftSeg: Advantages of soft versus binary training for image segmentation. Med Image Anal 2021

  4. Noriega de la Colina A, Badji A, Robitaille-Grou MC, Gagnon C, Boshkovski T, Lamarre-Cliche M, Joubert S, Gauthier C, Bherer L, Cohen-Adad J, Girouard H. Associations between relative morning blood pressure, cerebral blood flow, and memory in older adults treated and controlled for hypertension. Hypertension 2021

  5. Ost K, Jacobs WB, Evaniew N, Cohen-Adad J, Anderson D, Cadotte D. Spinal Cord Morphology in Degenerative Myelopathy Patients; Assessing Key Morphological Characteristics Using Machine Vision Tools. Journal of Clinical Medicine 2021

  6. Mummaneni N, Burke JF, DiGiorgio AM, Thomas LH, Duong-Fernandez X, Harris M, Pascual LU, Ferguson AR, Russell Huie J, Pan JZ, Hemmerle DD, Singh V, Torres-Espin A, Omondi C, Kyritsis N, Weinstein PR, Whetstone WD, Manley GT, Bresnahan JC, Beattie MS, Cohen-Adad J, Dhall SS, Talbott JF. Injury Volume Extracted from MRI Predicts Neurologic Outcome in Acute Spinal Cord Injury: A Prospective TRACK-SCI Pilot Study. J Clin Neurosci 2020

  7. Labounek R, Valošek J, Horák T, Svátková A, Bednařík P, Vojtíšek L, Horáková M, Nestrašil I, Lenglet C, Cohen-Adad J, Bednařík J, Hluštík P. HARDI-ZOOMit protocol improves specificity to microstructural changes in presymptomatic myelopathy. Sci Rep 2020

  8. Mancini M, Karakuzu A, Cohen-Adad J, Cercignani M, Nichols T, Stikov N. An interactive meta-analysis of MRI biomarkers of myelin. eLife 2020

  9. Tinnermann A, BĂĽchel C, Cohen-Adad J. (https://pubmed.ncbi.nlm.nih.gov/33039624/)[Cortico-spinal imaging to study pain]. NeuroImage 2020

  10. Karakuzu A, Boudreau M, Duval T, Boshkovski T, Leppert IL, Cabana J-F, Gagnon I, Beliveau P, Pike GB, Cohen-Adad J, Stikov N. qMRLab: Quantitative MRI analysis, under one umbrella. Journal of Open Source Software 2020

  11. Vahdat S, Khatibi A, Lungu O, Finsterbusch J, BĂĽchel C, Cohen-Adad J, Marchand-Pauvert V, Doyon J. Resting-state brain and spinal cord networks in humans are functionally integrated. PLoS Biol 2020

  12. Taghanaki SA, Abhishek K, Cohen JP, Cohen-Adad J, Hamarneh G. Deep Semantic Segmentation of Natural and Medical Images: A Review. Artificial Intelligence Review 2020

  13. Ouellette R, Treaba CA, Granberg T, Herranz E, Barletta V, Mehndiratta A, De Leener B, Tauhid S, Yousuf F, Dupont SM, Klawiter EC, Sloane JA, Bakshi R, Cohen-Adad J, Mainero C. 7 T imaging reveals a gradient in spinal cord lesion distribution in multiple sclerosis. Brain 2020

  14. Kerbrat A, Gros C, Badji A, Bannier E, Galassi F, Combès B, Chouteau R, Labauge P, Ayrignac X, Carra Dallière C, Maranzano J, Zhuoquiong R, Granberg T, Ouellette R, Stawiarz L, Hillert J, Talbott J, Tachibana Y, Hori M, Kamiya K, Chougar L, Lefeuvre J, Reich DS, Nair G, Valsasina P, Rocca MA, Filippi M, Chu R, Bakshi R, Callot V, Pelletier J, Audoin B, Maarouf A, Collongues N, De Seze J, Edan G, Cohen-Adad J. Multiple sclerosis lesions in motor tracts from the brain to the cervical cord: spatial distribution and correlation with disability. Brain 2020

  15. Mangeat G, Ouellette R, Wabartha M, De Leener B, Plattén M, Danylaité Karrenbauer V, Warntjes M, Stikov N, Mainero C, Cohen-Adad J, Granberg T. Machine learning and multi-parametric brain MRI to differentiate hereditary diffuse leukodystrophy with spheroids from multiple sclerosis. J Neuroimaging 2020

  16. Bagnato F, Gauthier SA, Laule C, Moore GRW, Bove R, Cai Z, Cohen-Adad J, Harrison DM, Klawiter EC, Morrow SA, Ă–z G, Rooney WD, Smith SA, Calabresi PA, Henry RG, Oh J, Ontaneda D, Pelletier D, Reich DS, Shinohara RT, Sicotte NL; NAIMS Cooperative. Imaging mechanisms of disease progression in multiple sclerosis: beyond brain atrophy. J Neuroimaging 2020

  17. Grussu F, Battiston M, Veraart J, Schneider T, Cohen-Adad J, Shepherd TM, Alexander DC, Fieremans E, Novikov DS, Gandini Wheeler-Kingshott CAM. Multi-parametric quantitative in vivo spinal cord MRI with unified signal readout and image denoising. Neuroimage 2020

  18. Ouellette R, Mangeat G, Polyak I, Warntjes M, Forslin Y, Bergendal Å, Plattén M, Uppman M, Treaba CA, Cohen-Adad J, Piehl F, Wiberg MK, Fredrikson S, Mainero C, Granberg T. Validation of Rapid Magnetic Resonance Myelin Imaging in Multiple Sclerosis. Ann Neurol 2020

  19. Badji A, Noriega de la Colina A, Karakuzu A, Duval T, Desjardins-Crépeau L, Parizet M, Joubert S, Bherer L, Lamarre-Cliche M, Stikov N, Cohen-Adad J, Girouard H. Arterial stiffness cut-off value and white matter integrity in the elderly. Neuroimage Clin 2019

  20. Saliani A, Zaimi A, Nami H, Duval T, Stikov N, Cohen-Adad J. Construction of a rat spinal cord atlas of axon morphometry. Neuroimage 2019

  21. 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. Nat Rev Neurol 2019

  22. Herranz E, Louapre C, Treaba CA, Govindarajan ST, Ouellette R, Mangeat G, Loggia ML, Cohen-Adad J, Klawiter EC, Sloane JA, Mainero C. Profiles of cortical inflammation in multiple sclerosis by 11C-PBR28 MR-PET and 7 Tesla imaging. Mult Scler 2019

  23. Karbasforoushan H, Cohen-Adad J, Dewald JPA. Brainstem and spinal cord MRI identifies altered sensorimotor pathways post-stroke. Nat Commun 2019

  24. Querin G, Bede P, El Mendili MM, Li M, Pélégrini-Issac M, Rinaldi D, Catala M, Saracino D, Salachas F, Camuzat A, Marchand-Pauvert V, Cohen-Adad J, Colliot O, Le Ber I, Pradat P-F. Presymptomatic spinal cord pathology in c9orf72 mutation carriers: A longitudinal neuroimaging study. Ann Neurol 2019

  25. Andica C, Hagiwara A, Kamagata K, Yokoyama K, Shimoji K, Saito A, Takenaka Y, Nakazawa M, Hori M, Cohen-Adad J, Takemura MY, Hattori N, Aoki S. Gray Matter Alterations in Early and Late Relapsing-Remitting Multiple Sclerosis Evaluated with Synthetic Quantitative Magnetic Resonance Imaging. Sci Rep 2019

  26. Seif M, Gandini Wheeler-Kingshott CA, Cohen-Adad J, Flanders AE, Freund P. Guidelines for the conduct of clinical trials in spinal cord injury: Neuroimaging biomarkers. Spinal Cord 2019

  27. Badji A, Sabra D, Bherer L, Cohen-Adad J, Girouard H, Gauthier C. Arterial stiffness and brain integrity: A review of MRI findings. Ageing Res Rev 2019

  28. Paugam F, Lefeuvre J, Perone CS, Gros C, Reich DS, Sati P, Cohen-Adad J. Open-source pipeline for multi-class segmentation of the spinal cord with deep learning. Magn Reson Imaging 2019

  29. Chougar L, Hagiwara A, Takano N, Andica C, Cohen-Adad J, Warntjes M, Maekawa T, Hori M, Koshino S, Nakazawa M, Abe O, Aoki S. Signal Intensity within Cerebral Venous Sinuses on Synthetic MRI. Magn Reson Med Sci 2019

  30. McCoy DB, Dupont SM, Gros C, Cohen-Adad J, Huie RJ, Ferguson A, Duong-Fernandez X, Thomas LH, Singh V, Narvid J, Pascual L, Kyritsis N, Beattie MS, Bresnahan JC, Dhall S, Whetstone W, Talbott JF, Investigators T-S. Convolutional Neural Network-Based Automated Segmentation of the Spinal Cord and Contusion Injury: Deep Learning Biomarker Correlates of Motor Impairment in Acute Spinal Cord Injury. AJNR Am J Neuroradiol 2019

  31. Perone CS, Cohen-Adad J. Promises and limitations of deep learning for medical image segmentation. Journal of Medical Artificial Intelligence 2019

  32. Perone CS, Ballester P, Barros RC, Cohen-Adad J. Unsupervised domain adaptation for medical imaging segmentation with self-ensembling. Neuroimage 2019

  33. Badji A, Noriega de la Colina A, Karakuzu A, Duval T, Desjardins-Crepeau L, Joubert S, Bherer L, Lamarre-Cliche M, Stikov N, Girouard H, Cohen-Adad J. Arterial stiffness and white matter integrity in the elderly: A diffusion tensor and magnetization transfer imaging study. Neuroimage 2019

  34. Eden D, Gros C, Badji A, Dupont SM, De Leener B, Maranzano J, Zhuoquiong R, Liu Y, Granberg T, Ouellette R, Stawiarz L, Hillert J, Talbott J, Bannier E, Kerbrat A, Edan G, Labauge P, Callot V, Pelletier J, Audoin B, Rasoanandrianina H, Brisset JC, Valsasina P, Rocca MA, Filippi M, Bakshi R, Tauhid S, Prados F, Yiannakas M, Kearney H, Ciccarelli O, Smith S, Treaba CA, Mainero C, Lefeuvre J, Reich DS, Nair G, Shepherd T, Charlson E, Tachibana Y, Hori M, Kamiya K, Chougar L, Narayanan S, Cohen-Adad J. Spatial distribution of multiple sclerosis lesions in the cervical spinal cord. Brain 2019

  35. Duval T, Saliani A, Nami H, Nanci A, Stikov N, Leblond H, Cohen-Adad J. Axons morphometry in the human spinal cord. Neuroimage 2019

  36. Gros C, De Leener B, Badji A, Maranzano J, Eden D, Dupont SM, 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 JC, Valsasina P, Rocca MA, Filippi M, Bakshi R, Tauhid S, Prados F, Yiannakas M, Kearney H, Ciccarelli O, Smith S, Treaba CA, Mainero C, Lefeuvre J, Reich DS, Nair G, Auclair V, McLaren DG, Martin AR, Fehlings MG, Vahdat S, Khatibi A, Doyon J, Shepherd T, Charlson E, Narayanan S, Cohen-Adad J. Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. Neuroimage 2019

  37. Hagiwara A, Hori M, Cohen-Adad J, Nakazawa M, Suzuki Y, Kasahara A, Horita M, Haruyama T, Andica C, Maekawa T, Kamagata K, Kumamaru KK, Abe O, Aoki S. Linearity, Bias, Intrascanner Repeatability, and Interscanner Reproducibility of Quantitative Multidynamic Multiecho Sequence for Rapid Simultaneous Relaxometry at 3 T: A Validation Study With a Standardized Phantom and Healthy Controls. Invest Radiol 2019

  38. Querin G, El Mendili MM, Lenglet T, Behin A, Stojkovic T, Salachas F, Devos D, Le Forestier N, Del Mar Amador M, Debs R, Lacomblez L, Meninger V, Bruneteau G, Cohen-Adad J, Lehéricy S, Laforêt P, Blancho S, Benali H, Catala M, Li M, Marchand-Pauvert V, Hogrel JY, Bede P, Pradat PF. The spinal and cerebral profile of adult spinal-muscular atrophy: A multimodal imaging study. Neuroimage Clin 2019

  39. Lee L, Ljungberg E, Shin D, Figley C, Vavasour I, Rauscher A, Cohen-Adad J, Li D, Traboulsee A, MacKay A, Lee J, Kolind S. Inter-Vendor Reproducibility of Myelin Water Imaging Using a 3D Gradient and Spin Echo Sequence. Front Neurosci 2018

  40. Lopez Rios N, Foias A, Lodygensky G, Dehaes M, Cohen-Adad J. Size-adaptable 13-channel receive array for brain MRI in human neonates at 3 T. NMR Biomed 2018

  41. Calabrese E, Adil SM, Cofer G, Perone CS, Cohen-Adad J, Lad SP, Johnson GA. Postmortem diffusion MRI of the entire human spinal cord at microscopic resolution. Neuroimage Clin 2018

  42. Martin AR, De Leener B, Cohen-Adad J, Kalsi-Ryan S, Cadotte DW, Wilson JR, Tetreault L, Nouri A, Crawley A, Mikulis DJ, Ginsberg H, Massicotte EM, Fehlings MG. Monitoring for myelopathic progression with multiparametric quantitative MRI. PLoS ONE 2018

  43. Perone CS, Calabrese E, Cohen-Adad J. Spinal cord gray matter segmentation using deep dilated convolutions. Sci Rep 2018

  44. Martin AR, De Leener B, Cohen-Adad J, Cadotte DW, Nouri A, Wilson JR, Tetreault L, Crawley AP, Mikulis DJ, Ginsberg H, Fehlings MG. Can microstructural MRI detect subclinical tissue injury in subjects with asymptomatic cervical spinal cord compression? A prospective cohort study. BMJ Open 2018

  45. Morozov D, Lopez Rios N, Duval T, Foias A, Cohen-Adad J. Effect of cardiac-related translational motion in diffusion MRI of the spinal cord. Magn Reson Imaging 2018

  46. Zaimi A, Wabartha M, Herman V, Antonsanti P-L, Perone CS, Cohen-Adad J. AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks. Sci Rep 2018

  47. Mangeat G, Badji A, Ouellette R, Treaba CA, Herranz E, Granberg T, Louapre C, Stikov N, Sloane JA, Bellec P, Mainero C, Cohen-Adad J. Changes in structural network are associated with cortical demyelination in early multiple sclerosis. Hum Brain Mapp 2018

  48. Albrecht DS, Ahmed SU, Kettner NW, Borra RJH, Cohen-Adad J, Deng H, Houle TT, Opalacz A, Roth SA, Melo MFV, Chen L, Mao J, Hooker JM, Loggia ML, Zhang Y. Neuroinflammation of the spinal cord and nerve roots in chronic radicular pain patients. Pain 2018

  49. Lopez Rios N, Pouliot P, Papoutsis K, Foias A, Stikov N, Lesage F, Dehaes M, Cohen-Adad J. Design and construction of an optimized transmit/receive hybrid birdcage resonator to improve full body images of medium-sized animals in 7T scanner. PLoS ONE 2018

  50. Levy S, Guertin MC, Khatibi A, Mezer A, Martinu K, Chen JI, Stikov N, Rainville P, Cohen-Adad J. Test-retest reliability of myelin imaging in the human spinal cord: Measurement errors versus region- and aging-induced variations. PLoS ONE 2018

  51. Gros C, De Leener B, Dupont SM, Martin AR, Fehlings MG, Bakshi R, Tummala S, Auclair V, McLaren DG, Callot V, Cohen-Adad J, Sdika M. Automatic spinal cord localization, robust to MRI contrasts using global curve optimization. Med Image Anal 2018

  52. Duval T, Smith V, Stikov N, Klawiter EC, Cohen-Adad J. Scan-rescan of axcaliber, macromolecular tissue volume, and g-ratio in the spinal cord. Magn Reson Med 2018

  53. Paquin ME, El Mendili MM, Gros C, Dupont SM, Cohen-Adad J, Pradat PF. Spinal Cord Gray Matter Atrophy in Amyotrophic Lateral Sclerosis. AJNR Am J Neuroradiol 2018

  54. Campbell JSW, Leppert IR, Narayanan S, Boudreau M, Duval T, Cohen-Adad J, Pike GB, Stikov N. Promise and pitfalls of g-ratio estimation with MRI. Neuroimage 2018

  55. De Leener B, Fonov VS, Collins DL, Callot V, Stikov N, Cohen-Adad J. PAM50: Unbiased multimodal template of the brainstem and spinal cord aligned with the ICBM152 space. Neuroimage 2018

  56. De Tillieux P, Topfer R, Foias A, Leroux I, El Maachi I, Leblond H, Stikov N, Cohen-Adad J. A pneumatic phantom for mimicking respiration-induced artifacts in spinal MRI. Magn Reson Med 2018

  57. Saliani A, Perraud B, Duval T, Stikov N, Rossignol S, Cohen-Adad J. Axon and Myelin Morphology in Animal and Human Spinal Cord. Front Neuroanat 2017

  58. Mingasson T, Duval T, Stikov N, Cohen-Adad J. AxonPacking: An Open-Source Software to Simulate Arrangements of Axons in White Matter. Front Neuroinform 2017

  59. Granberg T, Fan Q, Treaba CA, Ouellette R, Herranz E, Mangeat G, Louapre C, Cohen-Adad J, Klawiter EC, Sloane JA, Mainero C. In vivo characterization of cortical and white matter neuroaxonal pathology in early multiple sclerosis. Brain 2017

  60. Khoshnejad M, Roy M, Martinu K, Chen JI, Cohen-Adad J, Grondin S, Rainville P. Brain processing of the temporal dimension of acute pain in short-term memory. Pain 2017

  61. Prados F, Ashburner J, Blaiotta C, Brosch T, Carballido-Gamio J, Cardoso MJ, Conrad BN, Datta E, Dávid G, Leener BD, Dupont SM, Freund P, Wheeler-Kingshott CAMG, Grussu F, Henry R, Landman BA, Ljungberg E, Lyttle B, Ourselin S, Papinutto N, Saporito S, Schlaeger R, Smith SA, Summers P, Tam R, Yiannakas MC, Zhu A, Cohen-Adad J. Spinal cord grey matter segmentation challenge. Neuroimage 2017

  62. Martin AR, De Leener B, Cohen-Adad J, Cadotte DW, Kalsi-Ryan S, Lange SF, Tetreault L, Nouri A, Crawley A, Mikulis DJ, Ginsberg H, Fehlings MG. A Novel MRI Biomarker of Spinal Cord White Matter Injury: T2*-Weighted White Matter to Gray Matter Signal Intensity Ratio. AJNR Am J Neuroradiol 2017

  63. Martin AR, De Leener B, Cohen-Adad J, Cadotte DW, Kalsi-Ryan S, Lange SF, Tetreault L, Nouri A, Crawley A, Mikulis DJ, Ginsberg H, Fehlings MG. Clinically Feasible Microstructural MRI to Quantify Cervical Spinal Cord Tissue Injury Using DTI, MT, and T2*-Weighted Imaging: Assessment of Normative Data and Reliability. AJNR Am J Neuroradiol 2017

  64. De Leener B, Mangeat G, Dupont S, Martin AR, Callot V, Stikov N, Fehlings MG, Cohen-Adad J. Topologically preserving straightening of spinal cord MRI. J Magn Reson Imaging 2017

  65. McCoy DB, Talbott JF, Wilson M, Mamlouk M, Cohen-Adad J, Wilson M, Narvid J. MRI Atlas-Based Measurement of Spinal Cord Injury Predicts Outcome in Acute Flaccid Myelitis. AJNR Am J Neuroradiol 2017

  66. De Leener B, LĂ©vy S, Dupont SM, Fonov VS, Stikov N, Louis Collins D, Callot V, Cohen-Adad J. SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data. Neuroimage 2017

  67. Duval T, LĂ©vy S, Stikov N, Campbell J, Mezer A, Witzel T, Keil B, Smith V, Wald LL, Klawiter E, Cohen-Adad J. g-Ratio weighted imaging of the human spinal cord in vivo. Neuroimage 2017

  68. Dupont SM, De Leener B, Taso M, Le Troter A, Nadeau S, Stikov N, Callot V, Cohen-Adad J. Fully-integrated framework for the segmentation and registration of the spinal cord white and gray matter. Neuroimage 2017

  69. Duval T, Stikov N, Cohen-Adad J. Modeling white matter microstructure. Funct Neurol 2016

  70. Zaimi A, Duval T, Gasecka A, Côté D, Stikov N, Cohen-Adad J. AxonSeg: open source software for axon and myelin segmentation and morphometric analysis. Front Neuroinform 2016

  71. Topfer R, Starewicz P, Lo KM, Metzemaekers K, Jette D, Hetherington HP, Stikov N, Cohen-Adad J. A 24-channel shim array for the human spinal cord: Design, evaluation, and application. Magn Reson Med 2016

  72. Craddock CR, S Margulies D, Bellec P, Nolan Nichols B, Alcauter S, A Barrios F, Burnod Y, J Cannistraci C, Cohen-Adad J, De Leener B, Dery S, Downar J, Dunlop K, R Franco A, Seligman Froehlich C, J Gerber A, S Ghosh S, J Grabowski T, Hill S, SĂłlon Heinsfeld A, Matthew Hutchison R, Kundu P, R Laird A, Liew SL, J Lurie D, G McLaren D, Meneguzzi F, Mennes M, Mesmoudi S, O'Connor D, H Pasaye E, Peltier S, Poline JB, Prasad G, Fraga Pereira R, Quirion PO, Rokem A, S Saad Z, Shi Y, C Strother S, Toro R, Q Uddin L, D Van Horn J, W Van Meter J, C Welsh R, Xu T. Brainhack: a collaborative workshop for the open neuroscience community. Gigascience 2016

  73. Samson RS, Levy S, Schneider T, Smith AK, Smith SA, Cohen-Adad J, Gandini Wheeler-Kingshott CA. ZOOM or Non-ZOOM? Assessing Spinal Cord Diffusion Tensor Imaging Protocols for Multi-Centre Studies. PLoS ONE 2016

  74. De Leener B, Taso M, Cohen-Adad J, Callot V. Segmentation of the human spinal cord. MAGMA 2016

  75. Louapre C, Govindarajan ST, Gianni C, Cohen-Adad J, Gregory MD, Nielsen AS, Madigan N, Sloane JA, Kinkel RP, Mainero C. Is the Relationship between Cortical and White Matter Pathologic Changes in Multiple Sclerosis Spatially Specific? A Multimodal 7-T and 3-T MR Imaging Study with Surface and Tract-based Analysis. Radiology 2016

  76. Cabana J-F, Gu Y, Boudreau M, Levesque IR, Atchia Y, Sled JG, Narayanan S, Arnold DL, Pike GB, Cohen-Adad J, Duval T, Vuong M-T, Stikov N. Quantitative magnetization transfer imaging made easy with qMTLab: Software for data simulation, analysis, and visualization. Concepts in Magnetic Resonance Part A 2016

  77. Martin AR, Aleksanderek I, Cohen-Adad J, Tarmohamed Z, Tetreault L, Smith N, Cadotte DW, Crawley AP, Ginsberg H, Mikulis D, Fehlings MG. Translating state-of-the-art spinal cord MRI techniques to clinical use: A systematic review of clinical studies utilizing DTI, MT, MWF, MRS, and fMRI. Neuroimage Clin 2015

  78. Yiannakas MC, Mustafa A, De Leener B, Kearney H, Tur C, Altmann DR, De Angelis F, Plantone D, Ciccarelli O, Miller DH, Cohen-Adad J, Wheeler-Kingshott C. Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis. Neuroimage Clin 2015

  79. Stikov N, Campbell JS, Stroh T, Lavelee M, Frey S, Novek J, Nuara S, Ho MK, Bedell BJ, Dougherty RF, Leppert IR, Boudreau M, Narayanan S, Duval T, Cohen-Adad J, Picard PA, Gasecka A, Cote D, Pike GB. Quantitative analysis of the myelin g-ratio from electron microscopy images of the macaque corpus callosum. Data Brief 2015

  80. Stikov N, Campbell JS, Stroh T, Lavelee M, Frey S, Novek J, Nuara S, Ho MK, Bedell BJ, Dougherty RF, Leppert IR, Boudreau M, Narayanan S, Duval T, Cohen-Adad J, Picard PA, Gasecka A, Cote D, Pike GB. In vivo histology of the myelin g-ratio with magnetic resonance imaging. Neuroimage 2015

  81. Eichner C, Cauley SF, Cohen-Adad J, Moller HE, Turner R, Setsompop K, Wald LL. Real diffusion-weighted MRI enabling true signal averaging and increased diffusion contrast. Neuroimage 2015

  82. Levy S, Benhamou M, Naaman C, Rainville P, Callot V, Cohen-Adad J. White matter atlas of the human spinal cord with estimation of partial volume effect. Neuroimage 2015

  83. Duval T, McNab JA, Setsompop K, Witzel T, Schneider T, Huang SY, Keil B, Klawiter EC, Wald LL, Cohen-Adad J. In vivo mapping of human spinal cord microstructure at 300mT/m. Neuroimage 2015

  84. De Leener B, Cohen-Adad J, Kadoury S. Automatic segmentation of the spinal cord and spinal canal coupled with vertebral labeling. IEEE Trans Med Imaging 2015

  85. Vahdat S, Lungu O, Cohen-Adad J, Marchand-Pauvert V, Benali H, Doyon J. Simultaneous Brain-Cervical Cord FMRI Reveals Intrinsic Spinal Cord Plasticity during Motor Sequence Learning. PLoS Biol 2015

  86. Gagnon L, Sakadzic S, Lesage F, Musacchia JJ, Lefebvre J, Fang Q, Yucel MA, Evans KC, Mandeville ET, Cohen-Adad J, Polimeni JR, Yaseen MA, Lo EH, Greve DN, Buxton RB, Dale AM, Devor A, Boas DA. Quantifying the microvascular origin of BOLD-fMRI from first principles with two-photon microscopy and an oxygen-sensitive nanoprobe. J Neurosci 2015

  87. Farooq H, Genis H, Alarcon J, Vuong B, Jivraj J, Yang VXD, Cohen-Adad J, Fehlings MG, Cadotte A. High resolution imaging of the central nervous system: how novel imaging methods combined with navigation strategies will advance patient care. Prog Brain Res 2015

  88. Mainero C, Louapre C, Govindarajan ST, Gianni C, Nielsen AS, Cohen-Adad J, Sloane J, Kinkel RP. A gradient in cortical pathology in multiple sclerosis by in vivo quantitative 7 T imaging. Brain 2015

  89. Huang SY, Nummenmaa A, Witzel T, Duval T, Cohen-Adad J, Wald LL, McNab JA. The impact of gradient strength on in vivo diffusion MRI estimates of axon diameter. Neuroimage 2015

  90. Govindarajan ST, Cohen-Adad J, Sormani MP, Fan AP, Louapre C, Mainero C. Reproducibility of T2* mapping in the human cerebral cortex in vivo at 7 Tesla MRI. J Magn Reson Imaging 2015

  91. Cadotte DW, Cadotte A, Cohen-Adad J, Fleet D, Livne M, Wilson JR, Mikulis D, Nugaeva N, Fehlings MG. Characterizing the location of spinal and vertebral levels in the human cervical spinal cord. AJNR Am J Neuroradiol 2015

  92. Hendrix P, Griessenauer CJ, Cohen-Adad J, Rajasekaran S, Cauley KA, Shoja MM, Pezeshk P, Shane Tubbs R. Spinal diffusion tensor imaging: A comprehensive review with emphasis on spinal cord anatomy and clinical applications. Clin Anat 2015

  93. El Mendili MM, Chen R, Tiret B, Pelegrini-Issac M, Cohen-Adad J, Lehericy S, Pradat PF, Benali H. Validation of a semiautomated spinal cord segmentation method. J Magn Reson Imaging 2015

  94. Fonov VS, Le Troter A, Taso M, De Leener B, Leveque G, Benhamou M, Sdika M, Benali H, Pradat PF, Collins DL, Callot V, Cohen-Adad J. Framework for integrated MRI average of the spinal cord white and gray matter: the MNI-Poly-AMU template. Neuroimage 2014

  95. Ullmann E, Thong W, Pelletier Paquette JP, Cohen-Adad J. Automatic labeling of vertebral levels using a robust template-based approach. Int J Biomed Imaging 2014

  96. El Mendili MM, Cohen-Adad J, Pelegrini-Issac M, Rossignol S, Morizot-Koutlidis R, Marchand-Pauvert V, Iglesias C, Sangari S, Katz R, Lehericy S, Benali H, Pradat PF. Multi-parametric spinal cord MRI as potential progression marker in amyotrophic lateral sclerosis. PLoS ONE 2014

  97. De Leener B, Kadoury S, Cohen-Adad J. Robust, accurate and fast automatic segmentation of the spinal cord. Neuroimage 2014

  98. Zhao W, Cohen-Adad J, Polimeni JR, Keil B, Guerin B, Setsompop K, Serano P, Mareyam A, Hoecht P, Wald LL. Nineteen-channel receive array and four-channel transmit array coil for cervical spinal cord imaging at 7T. Magn Reson Med 2014

  99. Wheeler-Kingshott CA, Stroman PW, Schwab JM, Bacon M, Bosma R, Brooks J, Cadotte DW, Carlstedt T, Ciccarelli O, Cohen-Adad J, Curt A, Evangelou N, Fehlings MG, Filippi M, Kelley BJ, Kollias S, Mackay A, Porro CA, Smith S, Strittmatter SM, Summers P, Thompson AJ, Tracey I. The current state-of-the-art of spinal cord imaging: applications. Neuroimage 2014

  100. Stroman PW, Wheeler-Kingshott C, Bacon M, Schwab JM, Bosma R, Brooks J, Cadotte D, Carlstedt T, Ciccarelli O, Cohen-Adad J, Curt A, Evangelou N, Fehlings MG, Filippi M, Kelley BJ, Kollias S, Mackay A, Porro CA, Smith S, Strittmatter SM, Summers P, Tracey I. The current state-of-the-art of spinal cord imaging: methods. Neuroimage 2014

  101. Cohen-Adad J. What can we learn from T2* maps of the cortex?. Neuroimage 2014

  102. Stikov N, Boudreau M, Tardif CL, Levesque IR, Barral JK, Pike GB. On the Accuracy of T1 Mapping: Searching for Common Ground.. Magnetic Resonance in Medicine 2014

  103. Satpute A, Wager T, Cohen-Adad J, Bianciardi M, Choi J-K, Buhle J, Wald LL, Fedman Barret L. Identification of discrete functional subregions of the human periaqueductal gray. Proc Natl Acad Sci U S A 2013

  104. Setsompop K, Kimmlingen R, Eberlein E, Witzel T, Cohen-Adad J, McNab JA, Keil B, Tisdall MD, Hoecht P, Dietz P, Cauley SF, Tountcheva V, Matschl V, Lenz H, Bhat H, Heberlein K, Potthast A, Thein H, Van Horn JD, Toga AW, Schmitt F, Lehne D, Rosen BR, Wedeen VJ, Wald LL. Pushing the limits of in vivo diffusion MRI for the Human Connectome Project. NeuroImage 2013

  105. McNab JA, Edlow BL, Witzel T, Huang SY, Bhat H, Heberlein K, Feiweier T, Liu K, Keil B, Cohen-Adad J, Tisdall MD, Folkerth RD, Kinney HC, Wald LL. The Human Connectome Project and beyond: initial applications of 300 mT/m gradients. NeuroImage 2013

  106. Cohen-Adad J, El Mendili MM, Morizot-Koutlidis R, Lehericy S, Meininger V, Blancho S, Rossignol S, Benali H, Pradat P-F. Involvement of spinal sensory pathway in ALS and specificity of cord atrophy to lower motor neuron degeneration. Amyotroph Lateral Scler Frontotemporal Degener 2013

  107. Lundell H, Barthelemy D, Biering-Sorensen F, Cohen-Adad J, Nielsen JB, Dyrby TB. Fast diffusion tensor imaging and tractography of the whole cervical spinal cord using point spread function corrected echo planar imaging. Magn Reson Med 2013

  108. Cohen-Adad J, Zhao W, Keil B, Ratai E-M, Triantafyllou C, Lawson R, Dheel C, Wald LL, Rosen BR, Cudkowicz M, Atassi N. 7-T MRI of the spinal cord can detect lateral corticospinal tract abnormality in amyotrophic lateral sclerosis. Muscle Nerve 2013

  109. Mezer AA, Yeatman J, Stikov N, Kay K, Cho N, Dougherty RF, Perry LM, Parvizi J, Hua LH, Butts-Pauly K, Wandell BA. Measuring within the Voxel: Brain Tissue Volume in Individual Subjects.. Nature Medicine 2013

  110. Bilgic B, Setsompop K, Cohen-Adad J, Yendiki A, Wald LL, Adalsteinsson E. Accelerated diffusion spectrum imaging with compressed sensing using adaptive dictionaries. Magn Reson Med 2012

  111. Cohen-Adad J, Zhao W, Wald LL, Oaklander AL. 7T MRI of spinal cord injury. Neurology 2012

  112. Xie G, Piche M, Khoshejad M, Perlbarg V, Chen J-I, Hoge RD, Benali H, Rossignol S, Rainville P, Cohen-Adad J. Reduction of physiological noise with independent component analysis improves the detection of nociceptive responses with fMRI of the human spinal cord. NeuroImage 2012

  113. Setsompop K, Cohen-Adad J, Gagoski BA, Raij T, Yendiki A, Keil B, Wedeen VJ, Wald LL. Improving diffusion MRI using simultaneous multi-slice echo planar imaging. Neuroimage 2012

  114. Cohen-Adad J, Polimeni JR, Helmer KG, Benner T, McNab JA, Wald LL, Rosen B, Mainero C. T2* mapping and B0 orientation-dependence at 7T reveal cyto- and myeloarchitecture organization of the human cortex. Neuroimage 2012

  115. Nielsen AS, Kinkel RP, Tinelli E, Benner T, Cohen-Adad J, Mainero C. Focal cortical lesion detection in multiple sclerosis: 3 Tesla DIR versus 7 Tesla FLASH-T2. J Magn Reson Imaging 2012

  116. Stikov N. Improving the Accuracy of Cross-relaxation Imaging. International Journal of Imaging Systems and Technology 2012

  117. Cheng HLM, Stikov N, Ghugre N, Wright GA. Practical Clinical Applications of MR relaxometry. Journal of Magnetic Resonance Imaging 2012

  118. Sharman M, Cohen-Adad J, Descoteaux M, Messé A, Benali H, Lehericy S. Impact of outliers on diffusion tensor and Q-ball imaging: clinical implications and correction strategies. J Magn Reson Imaging 2011

  119. Cohen-Adad J, Leblond H, Delivet-Mongrain H, Martinez M, Benali H, Rossignol S. Wallerian degeneration after spinal cord lesions in cats detected with diffusion tensor imaging. Neuroimage 2011

  120. Cohen-Adad J, El Mendili M-M, Lehéricy S, Pradat P-F, Blancho S, Rossignol S, Benali H. Demyelination and degeneration in the injured human spinal cord detected with diffusion and magnetization transfer MRI. Neuroimage 2011

  121. Cohen-Adad J, Mareyam A, Keil B, Polimeni JR, Wald LL. 32-channel RF coil optimized for brain and cervical spinal cord at 3 T. Magn Reson Med 2011

  122. Cohen-Adad J, Benner T, Greve DN, Kinkel RP, Radding A, Fischl B, Rosen BR, Mainero C. In vivo evidence of disseminated subpial T2* signal changes in multiple sclerosis at 7 T: a surface-based analysis. Neuroimage 2011

  123. Stikov N, Perry LM, Ryklevskaya E, Mezer A, Wandell BA, Pauly JM, Dougherty RF. Bound Pool Fractions Complement Diffusion Measures in Characterizing White Matter Micro and Macrostructure. Neuroimage 2011

  124. Miller KL, Tijssen RHN, Stikov N, Okell. Steady-state MRI: Methods for Neuroimaging.. Imaging in Medicine 2011

  125. Barral JK, Gudmundson E, Stikov N, Etezadi-Amoli M, Stoica P, Nishimura DG. A Robust Methodology for T1 Mapping. Magnetic Resonance in Medicine 2010

  126. Onu M, Gervai P, Cohen-Adad J, Lawrence J, Kornelsen J, Tomanek B, Sboto-Frankenstein UN. Human cervical spinal cord funiculi: investigation with magnetic resonance diffusion tensor imaging. J Magn Reson Imaging 2010

  127. Cohen-Adad J, Gauthier CJ, Brooks JCW, Slessarev M, Han J, Fisher JA, Rossignol S, Hoge RD. BOLD signal responses to controlled hypercapnia in human spinal cord. Neuroimage 2010

  128. Piché M, Cohen-Adad J, Nejad MK, Perlbarg V, Xie G, Beaudoin G, Benali H, Rainville P. Characterization of cardiac-related noise in fMRI of the cervical spinal cord. Magn Reson Imaging 2009

  129. Cohen-Adad J, Hoge RD, Leblond H, Xie G, Beaudoin G, Song AW, Krueger G, Doyon J, Benali H, Rossignol S. Investigations on spinal cord fMRI of cats under ketamine. Neuroimage 2009

  130. Cohen-Adad J, Descoteaux M, Rossignol S, Hoge RD, Deriche R, Benali H. Detection of multiple pathways in the spinal cord using q-ball imaging. Neuroimage 2008

  131. Cohen-Adad J, Benali H, Hoge RD, Rossignol S. In vivo DTI of the healthy and injured cat spinal cord at high spatial and angular resolution. Neuroimage 2008

  132. Cohen-Adad J, Benali H, Barrière G, Leblond H, Hoge RD, Rossignol S. Development of clinical diffusion tensor MRI of the spinal cord in a context of spinal cord injury. IRBM 2008

  133. Cohen-Adad J, Chapuisat S, Doyon J, Rossignol S, Lina JM, Benali H, Lesage F. Activation detection in diffuse optical imaging by means of the general linear model. Med Image Anal 2007

Book Chapters

  1. Chen JJ and Cohen-Adad J. Functional Magnetic Resonance Imaging, Encyclopedia of Biomedical Engineering, Elsevier, 2017.

  2. Martin AR, Cohen-Adad J, Fehlings MG. Magnetic Resonance Imaging of the Injured Spinal Cord: The Present and the Future. AOS Masters Series SCI Textbook: Thieme; 2015.

  3. Cohen-Adad J, Wald LL. Coil arrays. In: Cohen-Adad J, Wheeler-Kingshott C, editors. Quantitative MRI of the Spinal Cord. San Diego: Elsevier; 2014

  4. Ellingson BM, Cohen-Adad J. Diffusion-weighted imaging. In: Cohen-Adad J, Wheeler-Kingshott C, editors. Quantitative MRI of the Spinal Cord. San Diego: Elsevier; 2014

  5. Summers P, Brooks JCW, Cohen-Adad J. Spinal cord fMRI. In: Cohen-Adad J, Wheeler-Kingshott C, editors. Quantitative MRI of the Spinal Cord. San Diego: Elsevier; 2014

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Newspaper/Public Coverage

Theses

PhD Theses

  • De Leener, B. (2017). Development of an MRI template and analysis pipeline for the spinal cord and application in patients with spinal cord injury (Thèse de doctorat, École Polytechnique de MontrĂ©al). TirĂ© de https://publications.polymtl.ca/2743/​

  • Duval, T. (2017). Quantification de la microstructure de la moelle Ă©pinière humaine par IRM et application chez des patients avec sclĂ©rose en plaques (Thèse de doctorat, École Polytechnique de MontrĂ©al). TirĂ© de https://publications.polymtl.ca/2871/​

MSc Theses

  • Rouhier, L. (2020). Prognosis for Degenerative Cervical Myelopathy: A Computer Learning Approach on the AOspine Database. (Masters thesis, Polytechnique MontrĂ©al). TirĂ© de https://publications.polymtl.ca/5348/​

  • Samuel Perone, C. (2019). Deep Learning Methods for MRI Spinal Cord Gray Matter Segmentation. (Masters thesis, Polytechnique MontrĂ©al). TirĂ© de https://publications.polymtl.ca/3811/​

  • Nami, H. (2019). Clustering of the White Matter Tracts in the Rat Spinal Cord Based on Quantitative Histology. (Masters thesis, Polytechnique MontrĂ©al). https://publications.polymtl.ca/4009/​

  • Gros, C. (2018). Automatic Segmentation of Intramedullary Multiple Sclerosis Lesions (MĂ©moire de maĂ®trise, École Polytechnique de MontrĂ©al). TirĂ© de https://publications.polymtl.ca/3200/​

  • Zaimi, A. (2018). Automatic axon and myelin segmentation of microscopy images and morphometrics extraction (MĂ©moire de maĂ®trise, École Polytechnique de MontrĂ©al). TirĂ© de https://publications.polymtl.ca/3089/​

  • Germain, G. (2017). Une antenne hybride RF/shimming pour l'IRM de la moelle Ă©pinière (MĂ©moire de maĂ®trise, École Polytechnique de MontrĂ©al). TirĂ© de https://publications.polymtl.ca/2623/​

  • Saliani, A. (2017). Construction d'un atlas de la microstructure de la matière blanche de la moelle Ă©pinière chez le rat Ă  partir d'acquisitions histologiques (MĂ©moire de maĂ®trise, École Polytechnique de MontrĂ©al). TirĂ© de https://publications.polymtl.ca/2734/​

  • Vuong, M.T. (2017). Comparison of Myelin Imaging Techniques in Ex Vivo Spinal Cord (MĂ©moire de maĂ®trise, École Polytechnique de MontrĂ©al). TirĂ© de https://publications.polymtl.ca/2683/​

  • LĂ©vy, S. (2016). CaractĂ©risation de la microstructure des voies spinales humaines par IRM multiparamĂ©trique (MĂ©moire de maĂ®trise, École Polytechnique de MontrĂ©al). TirĂ© de https://publications.polymtl.ca/2068/​

  • Mangeat, G. (2016). Study of Human Cortical Microstructure Using Magnetization Transfer and T2* Mapping with Application in Multiple Sclerosis (MĂ©moire de maĂ®trise, École Polytechnique de MontrĂ©al). TirĂ© de https://publications.polymtl.ca/2079/​

  • Foias, A. (2015). Design and Construction of a Highly Sensitive Coil for MRI of the Spinal Cord (MĂ©moire de maĂ®trise, École Polytechnique de MontrĂ©al). TirĂ© de https://publications.polymtl.ca/2001/​

  • De Leener, B. (2014). Segmentation automatique de la moelle Ă©pinière sur des images de rĂ©sonance magnĂ©tique par propagation de modèles dĂ©formables (MĂ©moire de maĂ®trise, École Polytechnique de MontrĂ©al). TirĂ© de https://publications.polymtl.ca/1471​