Marie Chupin

Summary

Affiliation: University College London
Country: UK

Publications

  1. ncbi Fully automatic segmentation of the hippocampus and the amygdala from MRI using hybrid prior knowledge
    Marie Chupin
    Department of Clinical and Experimental Epilepsy, ION, UCL, London, UK
    Med Image Comput Comput Assist Interv 10:875-82. 2007
  2. ncbi Anatomically constrained region deformation for the automated segmentation of the hippocampus and the amygdala: Method and validation on controls and patients with Alzheimer's disease
    Marie Chupin
    Department of Clinical and Experimental Epilepsy, Institute of Neurology, UCL, UK
    Neuroimage 34:996-1019. 2007
  3. ncbi Evaluation of atlas-based segmentation of hippocampi in healthy humans
    Roman Rodionov
    Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, Queen Square, London, United Kingdom
    Magn Reson Imaging 27:1104-9. 2009
  4. ncbi Discrimination between Alzheimer disease, mild cognitive impairment, and normal aging by using automated segmentation of the hippocampus
    Olivier Colliot
    Cognitive Neuroscience and Brain Imaging Laboratory, Centre National de la Recherche Scientifique, UPR640 LENA, Universite Pierre et Marie Curie Paris 6, Hopital de la Pitie Salpetriere, Paris, France
    Radiology 248:194-201. 2008
  5. ncbi Modeling and detecting deep brain activity with MEG & EEG
    Yohan Attal
    Cognitive Neuroscience and Brain Imaging Laboratory, CNRS UPR640 LENA, Hopital de la Salpetriere, University of Paris6, France
    Conf Proc IEEE Eng Med Biol Soc 2007:4937-40. 2007

Detail Information

Publications5

  1. ncbi Fully automatic segmentation of the hippocampus and the amygdala from MRI using hybrid prior knowledge
    Marie Chupin
    Department of Clinical and Experimental Epilepsy, ION, UCL, London, UK
    Med Image Comput Comput Assist Interv 10:875-82. 2007
    ..001) for Hc and from 81% to 84% (p < 0.002) for Am, with equivalent improvements in volume error...
  2. ncbi Anatomically constrained region deformation for the automated segmentation of the hippocampus and the amygdala: Method and validation on controls and patients with Alzheimer's disease
    Marie Chupin
    Department of Clinical and Experimental Epilepsy, Institute of Neurology, UCL, UK
    Neuroimage 34:996-1019. 2007
    ..The proposed approach provides a new framework for further developments in quantitative analyses of the pathological hippocampus and amygdala in MRI scans...
  3. ncbi Evaluation of atlas-based segmentation of hippocampi in healthy humans
    Roman Rodionov
    Department of Clinical and Experimental Epilepsy, UCL Institute of Neurology, Queen Square, London, United Kingdom
    Magn Reson Imaging 27:1104-9. 2009
    ..Our study aims at evaluating the spatial correspondence of hippocampal ROIs obtained using three brain atlases with hippocampal ROI obtained using an automatic segmentation algorithm dedicated to the hippocampus...
  4. ncbi Discrimination between Alzheimer disease, mild cognitive impairment, and normal aging by using automated segmentation of the hippocampus
    Olivier Colliot
    Cognitive Neuroscience and Brain Imaging Laboratory, Centre National de la Recherche Scientifique, UPR640 LENA, Universite Pierre et Marie Curie Paris 6, Hopital de la Pitie Salpetriere, Paris, France
    Radiology 248:194-201. 2008
    ....
  5. ncbi Modeling and detecting deep brain activity with MEG & EEG
    Yohan Attal
    Cognitive Neuroscience and Brain Imaging Laboratory, CNRS UPR640 LENA, Hopital de la Salpetriere, University of Paris6, France
    Conf Proc IEEE Eng Med Biol Soc 2007:4937-40. 2007
    ..Results indicate that MEG/EEG may indeed localize these deeper generators, which is confirmed here from experimental MEG data reporting on the modulation of alpha brain waves...