Pierrick Coupé
Scholar

Pierrick Coupé

Google Scholar ID: fKuAndgAAAAJ
CNRS - Univ. Bordeaux - LaBRI UMR 5800
Medical ImagingMedical Image AnalysisMedical Image ProcessingMachine LearningDeep learning
Citations & Impact
All-time
Citations
8,193
 
H-index
46
 
i10-index
106
 
Publications
20
 
Co-authors
124
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Received the prize of the best thesis (innovation prize) from the Section France of IEEE - Chapter EMBS - SFGBM - and AGBM; published several key papers such as 'AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation' (NeuroImage, 2020), 'Lifespan changes of the human brain in Alzheimer's disease' (Nature Scientific Report, 2019).
Research Experience
  • Worked as a postdoctoral researcher at the Brain Imaging Center of Montreal Neurological Institute from 2008 to 2011, supervised by Prof. D. Louis Collins; worked as a CNRS researcher at the Laboratoire Bordelais de Recherche en Informatique at Bordeaux University from 2011 to 2019; since 2019, a CNRS research director at the same place; led the PICTURA research group dedicated to patch-based image processing from 2013 to 2023; since 2023, co-leader of the Digital Health Axis of LaBRI and leader of the in2brain research group.
Education
  • Received M. Eng degree in Biomedical engineering from University of Technology of Compiègne, France in 2003; M.Sc in Image and Signal processing from University of Rennes I, France in 2004; Ph.D in Image processing from University of Rennes I, France in 2008 under the supervision of Dr Christian Barillot and Dr Pierre Hellier.
Background
  • Research interests include deep learning for medical imaging, big data for medical image analysis, quantitative MR analysis, computer-aided diagnosis, and image enhancement. Currently a CNRS research director, leading the in2brain research group focused on medical image analysis.