Rémi Cuingnet

Summary

Country: France

Publications

  1. doi Spatial regularization of SVM for the detection of diffusion alterations associated with stroke outcome
    Rémi Cuingnet
    UPMC Universite Paris 6, UMR 7225, UMR_S 975, Centre de Recherche de l Institut du Cerveau et de la Moelle épinière CRICM, Paris F 75013, France
    Med Image Anal 15:729-37. 2011
  2. doi Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database
    Rémi Cuingnet
    UPMC Universite Paris 6, UMR 7225, UMR_S 975, Centre de Recherche de l Institut du Cerveau et de la Moelle épinière CRICM, Paris, France
    Neuroimage 56:766-81. 2011
  3. pmc Contrast-based fully automatic segmentation of white matter hyperintensities: method and validation
    Thomas Samaille
    Universite Pierre et Marie Curie Paris 6, Centre de Recherche de l Institut du Cerveau et de la Moelle Epiniere, UMR S975, Paris, France
    PLoS ONE 7:e48953. 2012
  4. pmc Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging
    Emilie Gerardin
    UPMC Universite Paris 06, UMR 7225, UMR_S 975, Centre de Recherche de l Institut Cerveau Moelle CRICM, Paris, France
    Neuroimage 47:1476-86. 2009

Collaborators

Detail Information

Publications4

  1. doi Spatial regularization of SVM for the detection of diffusion alterations associated with stroke outcome
    Rémi Cuingnet
    UPMC Universite Paris 6, UMR 7225, UMR_S 975, Centre de Recherche de l Institut du Cerveau et de la Moelle épinière CRICM, Paris F 75013, France
    Med Image Anal 15:729-37. 2011
    ..Standard mass univariate analyses failed to detect any difference on the same population...
  2. doi Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database
    Rémi Cuingnet
    UPMC Universite Paris 6, UMR 7225, UMR_S 975, Centre de Recherche de l Institut du Cerveau et de la Moelle épinière CRICM, Paris, France
    Neuroimage 56:766-81. 2011
    ..DARTEL significantly improved six out of 20 classification experiments and led to lower results in only two cases. Overall, the use of feature selection did not improve the performance but substantially increased the computation times...
  3. pmc Contrast-based fully automatic segmentation of white matter hyperintensities: method and validation
    Thomas Samaille
    Universite Pierre et Marie Curie Paris 6, Centre de Recherche de l Institut du Cerveau et de la Moelle Epiniere, UMR S975, Paris, France
    PLoS ONE 7:e48953. 2012
    ..87-0.91 for kNN; 0.89-0.94 for SVM. Mean SI: 0.63-0.71 for kNN, 0.67-0.72 for SVM), and did not need any training set...
  4. pmc Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging
    Emilie Gerardin
    UPMC Universite Paris 06, UMR 7225, UMR_S 975, Centre de Recherche de l Institut Cerveau Moelle CRICM, Paris, France
    Neuroimage 47:1476-86. 2009
    ..This new method may become a useful tool to assist in the diagnosis of Alzheimer's disease...