Rémi Cuingnet

Summary

Publications

  1. ncbi 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
  2. ncbi 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
  3. ncbi 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
  4. ncbi Spatially regularized SVM for the detection of brain areas associated with stroke outcome
    Rémi Cuingnet
    Universite Pierre et Marie Curie Paris 6, CNRS UMR 7225, INSERM UMR_S 975, Centre de Recherche de l Institut Cerveau Moelle CRICM, Paris, France
    Med Image Comput Comput Assist Interv 13:316-23. 2010
  5. ncbi Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI
    Marie Chupin
    Universite Pierre et Marie Curie PARIS6, CNRS, UMR S7225, Paris, France
    Hippocampus 19:579-87. 2009
  6. ncbi 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
  7. ncbi Sulcal span in Azheimer's disease, amnestic mild cognitive impairment, and healthy controls
    Peggy Reiner
    Univ Paris Diderot, Sorbonne Paris Cité, UMR 740 INSERM, Paris, France
    J Alzheimers Dis 29:605-13. 2012

Detail Information

Publications7

  1. ncbi 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...
  2. ncbi 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...
  3. ncbi 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...
  4. ncbi Spatially regularized SVM for the detection of brain areas associated with stroke outcome
    Rémi Cuingnet
    Universite Pierre et Marie Curie Paris 6, CNRS UMR 7225, INSERM UMR_S 975, Centre de Recherche de l Institut Cerveau Moelle CRICM, Paris, France
    Med Image Comput Comput Assist Interv 13:316-23. 2010
    ..The proposed method showed that poor motor outcome is associated to changes in the corticospinal bundle and white matter tracts originating from the premotor cortex. Standard mass univariate analyses failed to detect any difference...
  5. ncbi Fully automatic hippocampus segmentation and classification in Alzheimer's disease and mild cognitive impairment applied on data from ADNI
    Marie Chupin
    Universite Pierre et Marie Curie PARIS6, CNRS, UMR S7225, Paris, France
    Hippocampus 19:579-87. 2009
    ..The classification proved accurate: 76% of the patients with AD and 71% of the MCI converting to AD before 18 months were correctly classified with respect to the elderly controls, using only hippocampal volume...
  6. ncbi 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...
  7. ncbi Sulcal span in Azheimer's disease, amnestic mild cognitive impairment, and healthy controls
    Peggy Reiner
    Univ Paris Diderot, Sorbonne Paris Cité, UMR 740 INSERM, Paris, France
    J Alzheimers Dis 29:605-13. 2012
    ..The most important differences were found in parietaloccipital fissure and intraparietal sulcus. Further studies are needed to understand the involved underlying mechanisms...