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

Verónica Muñoz Ramírez; Michel Dojat; Florence Forbes

Conference Papers Year :

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

(1) , (2) , (3)

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Verónica Muñoz Ramírez

Function : Author

[GIN] Grenoble Institut des Neurosciences

Michel Dojat

Function : Author
PersonId : 1720
IdHAL : michel-dojat
ORCID : 0000-0003-2747-6845
IdRef : 075440202

Grenoble Institut des Neurosciences

Florence Forbes

Function : Author
PersonId : 16305
IdHAL : florence-forbes
ORCID : 0000-0003-3639-0226
IdRef : 12469781X

Modelling and Inference of Complex and Structured Stochastic Systems

Domains

Statistics [stat] Applications [stat.AP] Cognitive science Neuroscience Computer Science [cs] Image Processing [eess.IV]

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CNIV.pdf (2.13 Mo)

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Veronica Munoz Ramirez : Connect in order to contact the contributor

https://hal.inria.fr/hal-02436886

Submitted on : Monday, January 13, 2020-2:28:25 PM

Last modification on : Friday, February 4, 2022-3:29:45 AM

Long-term archiving on: Tuesday, April 14, 2020-3:00:48 PM

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hal-02436886 , version 1 (13-01-2020)

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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⟩

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

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