Short Bio

I received the M. Eng degree in Biomedical engineering from University of Technology of Compiègne, France in 2003 and the M.Sc in Image and Signal processing degree from University of Rennes I, France in 2004. I obtained the Ph. D degree in Image processing from University of Rennes I, France in 2008 under the supervision of Dr Christian Barillot and Dr Pierre Hellier. For my Ph. D, I received the prize of the best thesis (innovation prize) from the Section France of IEEE - Chapter EMBS - SFGBM - and AGBM. Then, I worked as postdoctoral researcher at Brain Imaging Center of Montreal Neurological Institute from 2008 to 2011 under the supervision of Prof. D. Louis Collins. For this work, I was awarded a CECR postodocral fellowship. 

Now, I am working as CNRS researcher at the Laboratoire Bordelais de Recherche en Informatique http://www.labri.fr/ . Since 2013 I am the leader of a new research group dedicated to patch-based image processing called PICTURA.

My research on medical image processing covers different fields, from preprocessing to automatic detection of diseases. My work mainly focuses on three topics: image enhancement, quantitative MR analysis and computer-aided diagnosis. At present, my investigation deals with the development of new imaging biomarkers for Alzheimer's disease detection. This aspect is detailed in section Research Synopsis

My publications on Google scholar
My author's manuscripts on HAL

Selected publications:

  • R. Giraud, V-T. Ta, N. Papadakis, J. V. Manjón, D. L. Collins, P. Coupé. An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion. NeuroImage124, 770-782, 2016. https://hal.archives-ouvertes.fr/hal-01198703 
  • P. Coupé, S. F. Eskildsen, J. V. Manjon, V. Fonov, D. L. Collins.  Simultaneous Segmentation and Grading of Anatomical Structures for Patient's Classification: Application to Alzheimer's Disease. NeuroImage, 59(4):37363747, 2012
  • P. Coupé, J. V Manjon, V. Fonov, J. Pruessner, M. Robles, D. L. Collins. Patch-based Segmentation using Expert Priors: Application to Hippocampus and Ventricle Segmentation. NeuroImage, 54(2): 940–954, 2011.   
  • P. Coupé, P. Yger, S. Prima, P. Hellier, C. Kervrann, C. Barillot. An Optimized Blockwise NonLocal Means Denoising Filter for 3-D Magnetic Resonance Images. IEEE Transactions on Medical Imaging, 27(4):425–441, 2008.