Professor

Pierre-Marc Jodoin
Web site: http://info.usherbrooke.ca/pmjodoin/
Posts
Interests: Brain imaging, cardiac imaging, machine learning, deep learning, surveillance

Current members

Yoan David
  • Intern : 2024 - 2025
  • PhD : 2025 -
Posts
Interests: Deep learning, graph neural network, harmonization, diffusion MRI
Jeremi Levesque
  • MSc : 2024 -
Posts
Interests: Deep learning, reinforcement learning, white matter imaging, diffusion MRI
Célia Goujat
  • Ph.D. (co-direction O.Bernard, Lyon) : 2023 -
Posts
Interests: Deep learning, cardiac imaging, MRI
Manon Edde
  • Research professional : 2023 -
Posts
Interests: Neuro biology, brain imaging, myelin, White matter imaging, diffusion MRI
Gabriel Gigard
  • Research professional : 2023 -
Posts
Interests: Brain imaging, harmonization, diffusion MRI
Arnaud Judge
  • MSc : 2023 -
Posts
Interests: Cardiac Imaging, Ultrasound, machine learning
Antoine Théberge
  • MSc : 2018 - 2021
  • PhD : 2021 -
Posts
Interests: Brain imaging, machine learning, reinforcement learning
Thierry Judge
  • undergrad. intern : 2015
  • MSc : 2021 - 2022
  • PhD : 2023 -
Posts
Interests: Medical image segmentation, active learning
Nathan Painchaud
  • MSc : 2019 -
  • PhD : 2020 -
Posts
Interests: Cardiac imaging, machine learning, auto-encoders

Alumni

Jon Haitz Legarreta Gorroño
  • PhD : 2018 - 2024
Posts
Interests: deep learning, computational neuroanatomy, reproducible scientific research
Bach Kim
  • PhD : 2018 - 2024
    (Co-supervised with C.Desrosiers and J.Dolz (ETS))
Posts
Interests: Deep neural networks, adversarial method, privacy protection, continuous learning
Carl Lemaire
  • Research professional : 2019-2022 -
    (Part time)
  • MsC : 2017 - 2018
Posts
Interests: Deep learning, computer vision, DL for bioinformatics, high performance computing, ethics
Félix Dumais
  • Research professional : 2022 - 2024
Posts
Interests: Brain imaging, harmonization, diffusion MRI, Deep learning
Philippe Poulin
  • PhD : 2017 - 2021
  • MsC : 2015 - 2017
Posts
Interests: Neuroimaging, domain adaptation, recurrent neural networks, massive parallel computing
Audrey Duran
  • PhD : 2019 - 2021
    (Co-supervised with C.Lartizien (Lyon))
Posts
Interests: Oncology, segmentation, deep neural networks
Youssef Skandarani
  • PhD : 2018 - 2021
    (Co-supervised with A.Lalande (Dijon))
Posts
Interests: Open source, deep neural networks, GANs, reproductive science
Marco Armenta
  • PostDoc : 2019 - 2021
Posts
Interests: Algebra, Quivers, machine learning
Charles Authier
  • MsC : 2018 - 2020
Posts
Interests: Deep neural networks, satellite imaging, physics, body building!
Daniel Jörgens
  • PhD intern : 2019 - 2019
Posts
Sarah Leclerc
  • PhD : 2017 - 2019
    (Co-supervised with O.Bernard (Lyon))
Posts
Frédéric Branchaud-Charron
  • MsC : 2017 - 2018
  • undergrad. intern : 2016 - 2016
Posts
Yi Wang
  • PhD : 2012 - 2017
Posts
Clement Zotti
  • MsC : 2016 - 2017
Posts
Zhiming Luo
  • PhD : 2014 - 2018
Posts
Jorge Zavala-Bojorquez
  • PhD intern : 2014 - 2017
    (Co-supervised with A.Lalande (Dijon))
Posts
Martin Cousineau
  • MsC : 2014 - 2017
Posts
Mohammad Havaei
  • PhD : 2012 - 2016
Posts
Karl-Étienne Perron
  • undergrad. intern : 2016 - 2016
Posts
Michael Bernier
  • MSc : 2014 - 2016
Posts
Francis Dutil
  • undergrad. intern : 2015 - 2015
Posts
Sébastien Piérard
  • PhD intern : 2016 - 2017
Posts
Nil Goyette
  • MSc : 2011 - 2012
Posts
Jean-Christophe Houde
  • MSc : 2009 - 2012
Posts
Julien Prémont
  • MSc : 2009 - 2011
Posts
Caroline Presseau
  • MSc : 2012 - 2014
Posts
Yannick Bénézeth
  • PhD : 2007 - 2009
    (Co-supervised with C.Rosenberger (CAEN))
Posts
Cai Guo-Rong
  • PhD : 2010 - 2013
    (Co-supervised with S.Li (Xiamen))
Posts
Anthony Adam-Duquette
  • MSc : 2009 - 2011
Posts
Erhan Ermis
  • PhD : 2005 - 2009
    (Co-supervised with V.Saligrama (Boston))
Posts
Pierre Clarot
  • MSc : 2008 - 2009
Posts