Skip to Main content Skip to Navigation
Conference papers

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 - [GIN] Grenoble Institut des Neurosciences
2 GIN - Grenoble Institut des Neurosciences
3 MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems
Inria Grenoble - Rhône-Alpes, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann
Document type :
Conference papers
Complete list of metadata
https://hal.inria.fr/hal-02436886
Contributor : Veronica Munoz Ramirez Connect in order to contact the contributor
Submitted on : Monday, January 13, 2020 - 2:28:25 PM
Last modification on : Tuesday, October 19, 2021 - 11:27:21 AM
Long-term archiving on: : Tuesday, April 14, 2020 - 3:00:48 PM

File

Vignette du document
CNIV.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02436886, version 1

Collections

INRIA | LJK | CNRS | LJK_PS | LJK_PS_MISTIS | UGA

Citation

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⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

111

Files downloads

475

 

Contact                    Legal Notice                    Personal Data