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SUMMARY:CIS - "Get to know your neighbors" Seminar series - Prof. Jean-Phi
 lippe Thiran
DTSTART:20220307T151500
DTEND:20220307T161500
DTSTAMP:20260509T115352Z
UID:7e7d05cd5c0c58b6cee0b46525ae863d7095b9da494c3672702f66ea
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Jean-Philippe Thiran\nTitle: Microstructure imaging by d
 iffusion MRI: modelling\, simulation\, machine learning\, application to b
 rain imaging and more.\n \nAbstract: Magnetic resonance (MR) imaging is t
 he reference imaging modality both for functional and structural study of 
 the human brain. Diffusion MR imaging allows measuring the water diffusion
  properties in every voxel of a volume. When considering the white matter 
 of the brain\, this low-level information allows to infer higher-level inf
 ormation\, namely about the orientation of the neuronal fiber bundles\, an
 d therefore about brain connectivity as a whole. In this talk\, we will fi
 rst give a brief introduction to the physical phenomenon of diffusion and 
 how it can be used in MRI to infer brain neuronal fiber orientation inform
 ation. Then we will show that it actually can provide much more informatio
 n than just fiber orientation. Indeed\, by developing realistic tissue mic
 rostructure models\, advanced diffusion MR sequences and robust model esti
 mation techniques\, we will show how to estimate tissue parameters at the 
 microscopic scale from the macroscopic MR signals. In particular\, we will
  introduce some of our recent works in this domain\, where hyper-realistic
  synthetic tissue models\, advanced Monte-Carlo simulations and ML-based e
 stimation techniques are developed and combined. We will show the applicat
 ion of those techniques to address the analysis of the brain microstructur
 e and discuss their potential in the analysis of other tissues.\n\nBio: Je
 an-Philippe Thiran was born in Namur\, Belgium\, in 1970. He received the 
 Electrical Engineering degree and the PhD degree from the Université cath
 olique de Louvain (UCL)\, Louvain-la-Neuve\, Belgium\, in 1993 and 1997\, 
 respectively.  He joined the Swiss Federal Institute of Technology (EPFL)
 \, Lausanne\, Switzerland in 1998. Dr Thiran is currently a Full Professor
  at EPFL\, Director of the Signal Processing Laboratory (LTS5). Moreover\,
  he currently serves as the Director of the Institute of Electrical and Mi
 cro Engineering at EPFL.\nHis research field is computational imaging\, wi
 th applications in many domains including medical image analysis (diffusio
 n MRI\, ultrasound imaging and digital pathology) and computer vision. He 
 also holds a part-time Associate Professor position with the Department of
  Radiology of the University Hospital Center (CHUV) and University of Laus
 anne (UNIL). Prof. Thiran is author or co-author of 1 book\, 9 book chapte
 rs\, 250 journal papers and more than 270 peer-reviewed papers published i
 n the proceedings of international conferences. He holds 12 international 
 patents. From 2001 to 2005\, he was Co-Editor-in-Chief of the Signal Proce
 ssing international journal (published by Elsevier Science). He has been a
 n associate editor of the IEEE Transactions on Image Processing. Among man
 y other duties\, he has been the general chairman of the 2008 European Sig
 nal Processing Conference (EUSIPCO 2008) and the Technical Co-chair of the
  2015 IEEE International Conference on Image Processing (IEEE ICIP 2015). 
 He is a senior member of the IEEE and a Fellow of the European Association
  for Signal Processing (EURASIP).\n\nThe Center for Intelligent Systems at
  EPFL (CIS) is a collaboration among IC\, ENAC\, SB\; SV and STI that brin
 gs together researchers working on different aspects of Intelligent System
 s.\nIn order to promote exchanges among researchers and encourage the crea
 tion of new\, collaborative projects\, CIS is organizing a "Get to know yo
 ur neighbors" series. Each seminar will consist of one short overview pres
 entation geared to the general public at EPFL.   \n\nThe CIS seminar wi
 ll take place In hybrid mode: Room INF 328 and by Zoom : https://epfl.zoom
 .us/j/61304475638 \n\nPlease connect to your zoom account using your "@epf
 l.ch" address\, as this live event is only open to the EPFL community\nMon
 day\, March 7th\, 2022 from 3:15 to 4:15 pm\nNB: Video recordings of the s
 eminars will be made available on our website and published on our social 
 media pages
LOCATION:INF 328 https://plan.epfl.ch/?room==INF%20328 https://epfl.zoom.u
 s/j/61304475638
STATUS:CONFIRMED
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