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Poster communications

Anomaly detection in the MRI data of newly diagnosed Parkinsonian patients

Verónica Muñoz Ramírez 1, 2 Florence Forbes 2 Alexis Arnaud 2 Elena Moro 3 Michel Dojat 3
1 GIN - [GIN] Grenoble Institut des Neurosciences
2 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
3 GIN - Grenoble Institut des Neurosciences
Keywords : Parkinson Disease Mixture Modeling MRI Imaging
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Poster communications
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Submitted on : Monday, January 13, 2020 - 2:17:10 PM
Last modification on : Tuesday, October 19, 2021 - 11:27:21 AM
Long-term archiving on: : Tuesday, April 14, 2020 - 2:17:45 PM

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Verónica Muñoz Ramírez, Florence Forbes, Alexis Arnaud, Elena Moro, Michel Dojat. Anomaly detection in the MRI data of newly diagnosed Parkinsonian patients. 4e congrès de la Société Française de Résonance Magnétique en Biologie et Médecine - SFRMBM 2019, Mar 2019, Strasbourg, France. ⟨hal-02436613⟩

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