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UID:20260928T022358EDT-4316UJVg4v@132.216.98.100
DTSTAMP:20260928T062358Z
DESCRIPTION:REPARTI Seminar\n\nUn voyage sur vos autoroutes cérébrales : IR
 M de diffusion et connectomics du futur\n\nA journey on your brain highway
 s: diffusion MRI and connectomics of the future \n\nJoin Zoom Webinar Meet
 ing \n\nMeeting ID (Numéro de la rencontre) : 268 900 3498\n\nPassword (Mo
 t de passe) : 135845\n\nLa présentation sera donnée en français et les dia
 pos seront en anglais.\n\nThe presentation will be given in French and the
  slides will be in English.\n\nRésumé :\n\nL'imagerie par résonance magnét
 ique de diffusion est basée sur le mouvement brownien de la molécule d'eau
  dans les tissus biologiques. Dans cet exposé\, je présenterai l'imagerie 
 de diffusion en bref à des fins de quantification de l'intégrité de la mat
 ière blanche et sa connectivité via la tractographie. Je présenterai de fa
 çon didactique le « connectome »\, son importance pour les neurosciences e
 t les maladies du cerveau\, afin que tous les membres du REPARTI puissent 
 apprécier et apprendre quelque chose. Je partagerai quelques contributions
  personnelles au domaine et vous donnerez ma vision du futur pour l'imager
 ie du connectome de façon quantitative et multi-modale.\n\n \n\nAbstract:
 \n\nDiffusion magnetic resonance imaging is based on the Brownian motion o
 f the water molecules in biological tissue. In this talk\, I will briefly 
 present diffusion imaging for the purpose of quantifying the integrity of 
 white matter and its connectivity via tractography. I will present in a di
 dactic manner the 'connectome'\, its importance for neurosciences and brai
 n diseases\, so that all REPARTI members will be able to learn something. 
 I will share some personal contributions to the field and give you my visi
 on of the future for connectome imaging in a quantitative and multimodal w
 ay.\n\n \n\nBio:\n\nMaxime DESCOTEAUX\, PhD is a Professor in Computer Sci
 ence since 2009 in the Faculty of Science of Sherbrooke University. He is 
 the founder and director of the Sherbrooke Connectivity Imaging Laboratory
  (SCIL). His research focuses on brain connectivity from state-of-the-art 
 diffusion MRI acquisition\, reconstruction\, tractography\, processing and
  visualization. The aim of the SCIL is to better understand structural con
 nectivity\, develop novel tractography algorithms\, validate them and use 
 them for human brain mapping and connectomics applications. Maxime Descote
 aux was a post-doctoral fellow at NeuroSpin under the supervision of Cyril
  Poupon and Denis Le Bihan. He also obtained a PhD in Computer Science at 
 INRIA Sophia Antipolis - Mediterranée\, supervised by R. Deriche after com
 pleting a M.Sc. under the supervision of K. Siddiqi in Computer Science at
  the Center for Intelligent Machines\, McGill University\, where he also o
 btained a B.Sc.\, graduating from the joint honors Mathematics and Compute
 r Science program. Professor Descoteaux holds the USherbrooke Institutiona
 l Research Chair in NeuroInformatics. He has been cited more than 8500+ ti
 mes and has 110+ journal publications\, according to google scholar.\n
DTSTART:20210216T170000Z
DTEND:20210216T180000Z
LOCATION:CA\, ZOOM
SUMMARY:A journey on your brain highways: diffusion MRI and connectomics of
  the future 
URL:https://www.mcgill.ca/cim/channels/event/journey-your-brain-highways-di
 ffusion-mri-and-connectomics-future-328519
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