Benoit Scherrer

Summary

Country: France

Publications

  1. doi request reprint Agentification of Markov model-based segmentation: application to magnetic resonance brain scans
    Benoit Scherrer
    Grenoble Institut des Neurosciences, Centre de Recherche Institut national de la santé et de la recherche medicale U 836, E5 Chemin Fortuné Ferrini, La Tronche, BP 170, 38042 Grenoble Cedex 09, France
    Artif Intell Med 46:81-95. 2009
  2. doi request reprint Distributed local MRF models for tissue and structure brain segmentation
    Benoit Scherrer
    INSERM, 38043 Grenoble, France
    IEEE Trans Med Imaging 28:1278-95. 2009
  3. ncbi request reprint A conditional random field approach for coupling local registration with robust tissue and structure segmentation
    Benoit Scherrer
    INSERM, U836, Grenoble, F 38042, France
    Med Image Comput Comput Assist Interv 12:540-8. 2009

Collaborators

Detail Information

Publications3

  1. doi request reprint Agentification of Markov model-based segmentation: application to magnetic resonance brain scans
    Benoit Scherrer
    Grenoble Institut des Neurosciences, Centre de Recherche Institut national de la santé et de la recherche medicale U 836, E5 Chemin Fortuné Ferrini, La Tronche, BP 170, 38042 Grenoble Cedex 09, France
    Artif Intell Med 46:81-95. 2009
    ..The resulting estimated parameters are likely to be uncharacteristic of local image features. Instead, we propose to distribute a set of local MRF models within a multiagent framework...
  2. doi request reprint Distributed local MRF models for tissue and structure brain segmentation
    Benoit Scherrer
    INSERM, 38043 Grenoble, France
    IEEE Trans Med Imaging 28:1278-95. 2009
    ..This original combination of local MRF models, including anatomical knowledge, appears as a powerful and promising approach for MR brain scan segmentation...
  3. ncbi request reprint A conditional random field approach for coupling local registration with robust tissue and structure segmentation
    Benoit Scherrer
    INSERM, U836, Grenoble, F 38042, France
    Med Image Comput Comput Assist Interv 12:540-8. 2009
    ..Besides, our modeling and estimation scheme provide general guidelines to deal with complex joint processes for medical image analysis...