Modelling morphological variability of the hippocampus using manifold learning and large deformations
Résumé
The hippocampus is a structure of the temporal lobe of the brain which plays an important role in memory processes and in many neuropsychiatric disorders, including Alzheimer's disease, epilepsy and schizophrenia. Here, we present a method to infer the anatomical variability of the hippocampus, based on the LDDMM (Large Deformation Diffeomorphic Metric Mapping) framework and a manifold learning approach to capture the geometry of the population in the space of shapes.
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HBM_2012_abstract_4.pdf (46.74 Ko)
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poster_HBM12_pekin_4.pdf (2.16 Mo)
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| Origine | Fichiers produits par l'(les) auteur(s) |
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| Format | Autre |
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