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Mixture Models for the characterization of brain abnormalities in "de novo" Parkinsonian patients

Verónica Muñoz Ramírez 1 Michel Dojat 2 Florence Forbes 3
1 GIN - Grenoble Institut des Neurosciences
2 GIN - Grenoble Institut des Neurosciences
3 MISTIS [2016-2019] - Modelling and Inference of Complex and Structured Stochastic Systems [2016-2019]
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann , Grenoble INP [2007-2019] - Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019]
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Conference papers
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https://hal.inria.fr/hal-02436886
Contributor : Veronica Munoz Ramirez <>
Submitted on : Monday, January 13, 2020 - 2:28:25 PM
Last modification on : Tuesday, October 6, 2020 - 12:44:48 PM
Long-term archiving on: : Tuesday, April 14, 2020 - 3:00:48 PM

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  • HAL Id : hal-02436886, version 1

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Verónica Muñoz Ramírez, Michel Dojat, Florence Forbes. Mixture Models for the characterization of brain abnormalities in "de novo" Parkinsonian patients. CNIV 2019 - 3e Congrès National d’Imagerie du Vivant, Feb 2019, Paris, France. pp.1-16. ⟨hal-02436886⟩

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