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  • Pierrick Coupé, Pierre Yger, Sylvain Prima, Pierre Hellier, Charles Kervrann, Christian Barillot
  • Computer Science, Medicine
  • IEEE Transactions on Medical Imaging
  • 2008 (First Publication: 1 April 2008)
  • A critical issue in image restoration is the problem of noise removal while keeping the integrity of relevant image information. Denoising is a crucial step to increase image quality and to improveExpand
  • Pierrick Coupé, José Vicente Manjón, Vladimir S Fonov, Jens C. Pruessner, Montserrat Robles, D. Louis Collins
  • Computer Science, Psychology, Medicine
  • NeuroImage
  • 2011 (First Publication: 15 January 2011)
  • Quantitative magnetic resonance analysis often requires accurate, robust, and reliable automatic extraction of anatomical structures. Recently, template-warping methods incorporating a label fusionExpand
  • Simon F. Eskildsen, Pierrick Coupé, Daniel García-Lorenzo, Vladimir Fonov, Jens C. Pruessner, D. Louis Collins
  • Computer Science, Medicine, Psychology
  • NeuroImage
  • 2013 (First Publication: 15 January 2013)
  • Predicting Alzheimer's disease (AD) in individuals with some symptoms of cognitive decline may have great influence on treatment choice and disease progression. Structural magnetic resonance imagingExpand
  • Tong Tong, Robin Wolz, Pierrick Coupé, Joseph V. Hajnal, Daniel Rueckert
  • Computer Science, Medicine
  • NeuroImage
  • 2013 (First Publication: 1 August 2013)
  • We propose a novel method for the automatic segmentation of brain MRI images by using discriminative dictionary learning and sparse coding techniques. In the proposed method, dictionaries andExpand